Anaconda release notes#

Anaconda 2024.02-1 (Feb 26, 2024)#

Installer Python Version: 3.11.7

User-facing Changes#

The anaconda meta package, which the installer provides as its base environment, was reviewed and refreshed. Here are some notable changes:

Updates to major packages:#

  • conda 24.1.2

  • numpy 1.26.3

  • pandas 2.1.4

  • notebook 7.0.8

  • jupyterlab 4.0.11

Added:#

  • jupyterlab-variableinspector

  • mypy

  • pycodestyle

  • streamlit

Removed:#

  • python-kaliedo

  • dal and daal4py

  • scikit-learn-intelex and intel-openmp

  • tbb4py

  • transformers

  • unixodbc

Bug Fixes#

  • MacOS .pkg installers install into /opt now to circumvent this issue. The user will be prompted for authorization when using the new default path. The MacOS .sh installers remain unchanged.

For a list of all packages included in the installer, see the Anaconda 2024.02-1.

Anaconda 2023.09-0 (Sep 29, 2023)#

Installer Python Version: 3.11.5

User-facing Changes#

This version of the Anaconda Distribution has many major updates:

  • OpenSSL 3.0

  • Numpy 1.25.2

  • matplotlib 2.7.2

  • pandas 2.0.3

  • huggingface_hub 0.15.1

  • conda 23.7.4

  • Anaconda Navigator 2.5.0

A couple of important additions:

  • Kaliedo (v0.2.1), a static data viz generator for web-based visualization libraries

  • anaconda-anon-usage, a package designed to augment the anonymous telemetry being sent by conda

For a list of all packages included in the installer, see the Anaconda 2023.09-0.

Anaconda 2023.07-2 (Aug 04, 2023)#

Installer Python Version: 3.11.4

User-facing Changes#

  • Conda has been updated to v23.7.2

  • Jupyter_client and pyzmq have been downgraded to v7.4.9 and v23.2.0, respectively (see jupyter pull request 6749).

For a list of all packages included in the installer, see the Anaconda 2023.07-2.

Anaconda 2023.07-1 (Jul 13, 2023)#

Installer Python Version: 3.11.3

User-facing Changes#

For a list of all packages included in the installer, see the Anaconda 2023.07-1.

Anaconda 2023.07-0 (Jul 11, 2023)#

Installer Python Version: 3.11.3

User-facing Changes#

  • Conda has been updated to v23.5.0.

  • Anaconda Navigator launches after installation with exe and pkg installers.

Bug Fixes#

  • Address a bug that can cause accidental file deletion with Windows uninstallers (see our blog post). A security patch is available for older versions.

  • Fix a conda update bug that removes packages installed via the Anaconda Distribution installer.

Known Issues#

For a list of all packages included in the installer, see the Anaconda 2023.07-0.

Anaconda 2023.03-1 (Apr 24, 2023)#

User-facing changes#

  • Conda has been updated to v23.3.1.

Bug fixes#

  • Drop the “py310” string from the installer filename (caused problems for downstream package managers e.g. WinGet). (Issue 13161)

  • For Windows, enable allowance of spaces in the installation path. (Issue 13163)

Anaconda 2023.03-0 (Mar 20, 2023)#

User-facing changes#

  • Conda has been updated to v23.1.0.

  • This installer uses python-3.10.9.

  • Anaconda Navigator has been updated to v2.4.0.

  • Version numbers for Anaconda Distribution will now include a build number to track any changes to the distribution that occur before the next official release.

Major package updates:#

  • daal4py 2021.6.0 -> 2023.0.2

  • datashader 0.14.1 -> 0.14.4

  • holoviews 1.15.0 -> 1.15.4

  • ipython 7.31.1 -> 8.10.0

  • jupyter_console 6.4.3 -> 6.6.2

  • jupyter_core 4.11.1 -> 5.2.0

  • jupyter_server 1.18.1 -> 1.23.4

  • jupyterlab 3.4.4 -> 3.5.3

  • jupyterlab_server 2.10.3 -> 2.19.0

  • matplotlib 3.5.2 -> 3.7.0

  • numba 0.55.1 -> 0.56.4

  • numpy 1.21.5 -> 1.23.5

  • pandas 1.4.4 -> 1.5.3

  • pillow 9.2.0 -> 9.4.0

  • python 3.10.4 -> 3.10.9

  • scikit-image 0.19.2 -> 0.19.3

  • scikit-learn 1.0.2 -> 1.2.1

  • scipy 1.9.1 -> 1.10.0

  • seaborn 0.11.2 -> 0.12.2

  • spyder 5.3.3 -> 5.4.1

  • spyder-kernels 2.3.3 -> 2.4.1

  • statsmodels 0.13.2 -> 0.13.5

  • sympy 1.10.1 -> 1.11.1

Removed:

  • anaconda-client

  • anaconda-project

  • conda-content-trust

  • conda-token

Anaconda 2022.10 (Oct 18, 2022)#

User-facing changes#

  • Conda has been updated to v22.9.0.

  • Anaconda Navigator has been updated to v2.3.1.

  • This installer uses python-3.9.

  • This is the first release that provides a python-3.10 variant for anaconda metapackages.

  • This is the last release that will provide a python-3.7 variant for anaconda metapackages.

  • Qt support for macOS M1 (osx-arm64), enabling full use of GUI applications like Anaconda Navigator and Spyder.

Major package updates#

  • anaconda-client 1.9.0 -> 1.11.0

  • anaconda-project 0.10.2 -> 0.11.1

  • bokeh 2.4.2 -> 2.4.3

  • conda-content-trust 0.1.1 -> 0.1.3

  • conda-token 0.3.0 -> 0.4.0

  • daal4py 2021.5.0 -> 2021.6.0

  • dask 2022.2.1 -> 2022.7.0

  • datashader 0.13.0 -> 0.14.1

  • holoviews 1.14.8 -> 1.15.0

  • jupyter_client 6.1.12 -> 7.3.5

  • jupyter_console 6.4.0 -> 6.4.3

  • jupyter_core 4.9.2 -> 4.11.1

  • jupyter_server 1.13.5 -> 1.18.1

  • jupyterlab 3.3.2 -> 3.4.4

  • matplotlib 3.5.1 -> 3.5.2

  • pandas 1.4.2 -> 1.4.4

  • pillow 9.0.1 -> 9.2.0

  • python 3.9.12 -> 3.9.13

  • requests 2.27.1 -> 2.28.1

  • scipy 1.7.3 -> 1.9.1

  • spyder 5.1.5 -> 5.3.3

  • spyder-kernels 2.1.3 -> 2.3.3

Anaconda 2022.05 (May 10, 2022)#

User-facing changes#

  • Anaconda Navigator has been updated to 2.1.4.

  • Conda has been updated to 4.12.0.

  • CVE-2022-26526 for Windows has been fixed. Now installations for “All Users” will not be allowed the option to modify the system PATH environment variable during installation. Installations for “Just Me” will still be allowed the option to add Anaconda3 to their PATH environment variable. Additionally, when installing with Administrator privileges, non-admin system Users will no longer have “Write” permissions.

  • JetBrains PyCharm Pro has been replaced with JetBrains DataSpell.

  • This is the first release of Anaconda Distribution that supports MacOS M1 (osx-arm64).

  • This is the last release of Anaconda Distribution that will support Windows 32-bit (win-32).

Major package updates#

  • anaconda-project 0.10.1 -> 0.10.2

  • bokeh 2.4.1 -> 2.4.2

  • dask 2021.10.0 -> 2022.2.1

  • ipython 7.29.0 -> 8.2.0

  • jupyter_core 4.8.1 -> 4.9.2

  • jupyter_server 1.4.1 -> 1.13.5

  • jupyterlab 3.2.1 -> 3.3.2

  • jupyterlab_server 2.8.2 -> 2.10.3

  • matplotlib 3.4.3 -> 3.5.1

  • numba 0.54.1 -> 0.55.1

  • numpy 1.20.3 -> 1.21.5

  • pandas 1.3.4 -> 1.4.2

  • pillow 8.4.0 -> 9.0.1

  • python 3.9.7 -> 3.9.12

  • requests 2.26.0 -> 2.27.1

  • scikit-learn 0.24.2 -> 1.0.2

  • statsmodels 0.12.2 -> 0.13.2

  • sympy 1.9 -> 1.10.1

Added:

  • conda-verify 3.4.2

  • datashader 0.13.0

  • holoviews 1.14.8

Anaconda 2021.11 (Nov 17, 2021)#

User-facing changes#

  • Anaconda Navigator has been updated to 2.1.1

  • Conda has been updated to 4.10.3

  • The installer and base environment now use Python 3.9. Meta-packages for Python 3.7, 3.8, and 3.9 are also available.

  • Updated EULA includes disclaimers for the Arm Performance Libraries.

  • The installer for linux-64 will now error out if a glibc version older than 2.17 is found.

  • Improved the macOS pkg installer installation already detected error message.

Major package updates#

  • anaconda-client 1.7.2 -> 1.9.0

  • anaconda-project 0.9.1 -> 0.10.1

  • bokeh 2.3.2 -> 2.4.1

  • dask 2021.4.0 -> 2021.10.0

  • ipython 7.22.0 -> 7.29.0

  • jupyter_core 4.7.1 -> 4.8.1

  • jupyterlab 3.0.14 -> 3.2.1

  • jupyterlab_server 2.4.0 -> 2.8.2

  • matplotlib 3.3.4 -> 3.4.3

  • mkl 2021.2.0 -> 2021.4.0

  • numba 0.53.1 -> 0.54.1

  • numpy 1.20.1 -> 1.20.3

  • pandas 1.2.4 -> 1.3.4

  • pillow 8.2.0 -> 8.4.0

  • python 3.9.4 -> 3.9.7

  • requests 2.25.1 -> 2.26.0

  • seaborn 0.11.1 -> 0.11.2

  • spyder 4.2.5 -> 5.1.5

  • spyder-kernels 1.10.2 -> 2.1.3

  • sympy 1.8 -> 1.9

Added:

  • conda-content-trust 0.1.1

  • conda-token 0.3.0

Anaconda 2021.05 (May 13, 2021)#

User-facing changes#

  • Anaconda Navigator has been updated to 2.0.3

  • Conda has been updated to 4.10.1

  • Added support for the 64-bit AWS Graviton2 (ARM64) platform

  • Added support for the 64-bit Linux on IBM Z & LinuxONE (s390x) platform

  • Meta-packages are available for Python 3.7, 3.8 and 3.9. The installer uses Python 3.8.

  • EULA has been updated to include a more complete cryptography list

  • On macOS, all available shells are now initialized for conda as part of the default macOS .pkg installation.

Major package updates#

  • anaconda-project 0.8.4 -> 0.9.1

  • bokeh 2.2.3 -> 2.3.2

  • dask 2.30.0 -> 2021.4.0

  • ipython 7.19.0 -> 7.22.0

  • jupyter_client 6.1.7 -> 6.1.12

  • jupyter_console 6.2.0 -> 6.4.0

  • jupyter_core 4.6.3 -> 4.7.1

  • jupyterlab 2.2.6 -> 3.0.14

  • jupyterlab_server 1.2.0 -> 2.4.0

  • numba 0.51.2 -> 0.53.1

  • numpy 1.19.2 -> 1.20.1

  • pandas 1.1.3 -> 1.2.4

  • pillow 8.0.1 -> 8.2.0

  • python 3.8.5 -> 3.9.4

  • requests 2.24.0 -> 2.25.1

  • scipy 1.5.2 -> 1.6.2

  • seaborn 0.11.0 -> 0.11.1

  • spyder 4.1.5 -> 4.2.5

  • spyder-kernels 1.9.4 -> 1.10.2

  • statsmodels 0.12.0 -> 0.12.2

  • sympy 1.6.2 -> 1.8

Added:

  • jupyter-packaging 0.7.12

  • jupyter_server 1.4.1

  • jupyterlab_widgets 1.0.0

Anaconda 2020.11 (Nov 19, 2020)#

User-facing changes#

  • Anaconda Navigator has been updated to 1.10.0.

  • The Python 3.6 meta-package was dropped; meta-packages are now available for Python 3.7 and 3.8 only. The installer uses Python 3.8.

  • Update PyCharm text and links in the GUI installers.

  • Clarify EULA for repo.anaconda.com terms-of-service.

Major package updates#

  • bokeh 2.1.1 -> 2.2.3

  • dask 2.20.0 -> 2.30.0

  • ipython 7.16.1 -> 7.19.0

  • jupyter_client 6.1.6 -> 6.1.7

  • jupyter_console 6.1.0 -> 6.2.0

  • jupyterlab 2.1.5 -> 2.2.6

  • numba 0.50.1 -> 0.51.2

  • numpy 1.18.5 -> 1.19.2

  • pandas 1.0.5 -> 1.1.3

  • pillow 7.2.0 -> 8.0.1

  • python 3.8.3 -> 3.8.5

  • scikit-learn 0.23.1 -> 0.23.2

  • scipy 1.5.0 -> 1.5.2

  • seaborn 0.10.1 -> 0.11.0

  • spyder 4.1.4 -> 4.1.5

  • spyder-kernels 1.9.2 -> 1.9.4

  • statsmodels 0.11.1 -> 0.12.0

  • sympy 1.6.1 -> 1.6.2

Added:

  • jupyterlab_pygments 0.1.2

Anaconda 2020.07 (Jul 23, 2020)#

User-facing changes#

  • The installer and base environment now use Python 3.8. Meta-packages for Python 3.6, 3.7, and 3.8 are also available.

  • Fixed an issue where the win-32 installer would install win-64 executables in the base environment.

  • Fixed an issue where the Windows installer would hang on systems with >64 cores.

  • Update PyCharm text and links in the GUI installers.

  • Update EULA to reflect terms-of-service change for repo.anaconda.com

Backend improvements (non-visible changes)#

  • Fixed signing of PyCharm bundle for macOS 10.15

Major package updates#

  • bokeh 1.4.0 -> 2.1.1

  • dask 2.11.0 -> 2.20.0

  • ipython 7.12.0 -> 7.16.1

  • jupyter_client 5.3.4 -> 6.1.6

  • jupyter_core 4.6.1 -> 4.6.3

  • jupyterlab 1.2.6 -> 2.1.5

  • jupyterlab_server 1.0.6 -> 1.2.0

  • matplotlib 3.1.3 -> 3.2.2

  • numba 0.48.0 -> 0.50.1

  • numpy 1.18.1 -> 1.18.5

  • pandas 1.0.1 -> 1.0.5

  • pillow 7.0.0 -> 7.2.0

  • python 3.8.1 -> 3.8.3

  • requests 2.22.0 -> 2.24.0

  • scikit-learn 0.22.1 -> 0.23.1

  • scipy 1.4.1 -> 1.5.0

  • seaborn 0.10.0 -> 0.10.1

  • spyder 4.0.1 -> 4.1.4

  • spyder-kernels 1.8.1 -> 1.9.2

  • statsmodels 0.11.0 -> 0.11.1

  • sympy 1.5.1 -> 1.6.1

Anaconda 2020.02 (Mar 11, 2020)#

User-facing changes#

  • Name changed to Anaconda Individual Edition.

  • The previous 2019.10 release was the last for Python 2.7, and Python 2 will not be supported going forward.

  • Python 3.6, 3.7 and 3.8 meta-packages available, installer is Python 3.7.

  • Last official release to support Windows 7.

  • Updated links to in GUI installer.

  • Anaconda Navigator updated to 1.9.12.

Backend improvements (non-visible changes)#

  • Deadlock fixes on single core computers.

  • Improved menu removal on Windows.

Major package updates#

  • anaconda-project 0.8.3 -> 0.8.4

  • bokeh 1.3.4 -> 1.4.0

  • dask 2.5.2 -> 2.11.0

  • ipython 7.8.0 -> 7.12.0

  • jupyter_client 5.3.3 -> 5.3.4

  • jupyter_console 6.0.0 -> 6.1.0

  • jupyter_core 4.5.0 -> 4.6.1

  • jupyterlab 1.1.4 -> 1.2.6

  • matplotlib 3.1.1 -> 3.1.3

  • pandas 0.25.1 -> 1.0.1

  • pillow 6.2.0 -> 7.0.0

  • python 3.7.4 -> 3.7.6

  • scikit-image 0.15.0 -> 0.16.2

  • scipy 1.3.1 -> 1.4.1

  • seaborn 0.9.0 -> 0.10.0

  • spyder 3.3.6 -> 4.0.1

  • spyder-kernels 0.5.2 -> 1.8.1

  • statsmodels 0.10.1 -> 0.11.0

  • sympy 1.4 -> 1.5.1

Anaconda 2019.10 (Oct 15, 2019)#

User-facing changes#

  • Updated packages.

  • For macOS Catalina, we have notarized the package installers and changed the default install directory to /opt/anaconda{2,3}.

Backend improvements (non-visible changes)#

  • Added a new Cython-based Python wrapper to clear up library loading problems with libarchive.

  • Extraction scripts work better with older operating systems.

Major package updates#

  • dask 2.1.0 -> 2.5.2

  • ipython 7.6.1 -> 7.8.0

  • jupyter_client 5.3.1 -> 5.3.3

  • jupyterlab 1.0.2 -> 1.1.4

  • jupyterlab_server 1.0.0 -> 1.0.6

  • matplotlib 3.1.0 -> 3.1.1

  • pandas 0.24.2 -> 0.25.1

  • pillow 6.1.0 -> 6.2.0

  • python 3.7.3 -> 3.7.4

  • spyder-kernels 0.5.1 -> 0.5.2

  • statsmodels 0.10.0 -> 0.10.1

Anaconda 2019.07 (Jul 24, 2019)#

User-facing changes#

  • Conda install times have decreased by more than half for large packages.

  • Conda 4.7.10 improves environment management and error messages.

  • Conda constructor now supports building installers with the new .conda file format as well as noarch packages.

  • Documentation has been updated for our integration with PyCharm, including more tutorials and improved navigation for easier use.

  • Updated packages, including R packages and ML/AI packages.

Backend improvements (non-visible changes)#

  • Conda is moving to a quarterly release cycle.

  • Conda build 3.18 works with the new .conda file format.

Major package updates#

  • anaconda-project 0.8.2 -> 0.8.3

  • dask 1.1.4 -> 2.1.0

  • ipython 7.4.0 -> 7.6.1

  • jupyter_client 5.2.4 -> 5.3.1

  • jupyter_core 4.4.0 -> 4.5.0

  • jupyterlab 0.35.4 -> 1.0.2

  • jupyterlab_server 0.2.0 -> 1.0.0

  • matplotlib 3.0.3 -> 3.1.0

  • mkl 2019.3 -> 2019.4

  • numba 0.43.1 -> 0.45.0

  • numpy 1.16.2 -> 1.16.4

  • pillow 5.4.1 -> 6.1.0

  • requests 2.21.0 -> 2.22.0

  • scikit-image 0.14.2 -> 0.15.0

  • spyder 3.3.3 -> 3.3.6

  • spyder-kernels 0.4.2 -> 0.5.1

  • statsmodels 0.9.0 -> 0.10.0

Anaconda 2019.03 (Apr 04, 2019)#

User-facing changes#

  • Full conda integration with Windows Powershell.

  • The Windows Python package includes an optional feature that, when enabled, will improve DLL handling of library conflicts.

  • This is the first release which includes conda 4.6.

  • A link is added to the installer so you have the option to easily install PyCharm for Anaconda.

Backend improvements (non-visible changes)#

  • Anaconda uninstalls faster on Windows.

Major package updates#

  • bokeh 1.0.2 -> 1.0.4

  • dask 1.0.0 -> 1.1.4

  • ipython 7.2.0 -> 7.4.0

  • jupyterlab 0.35.3 -> 0.35.4

  • matplotlib 3.0.2 -> 3.0.3

  • mkl 2019.1 -> 2019.3

  • numba 0.41.0 -> 0.43.1

  • numpy 1.15.4 -> 1.16.2

  • pandas 0.23.4 -> 0.24.2

  • pillow 5.3.0 -> 5.4.1

  • python 3.7.1 -> 3.7.3

  • scikit-image 0.14.1 -> 0.14.2

  • scikit-learn 0.20.1 -> 0.20.3

  • scipy 1.1.0 -> 1.2.1

  • spyder 3.3.2 -> 3.3.3

  • spyder-kernels 0.3.0 -> 0.4.2

Removed:

  • conda

  • conda-build

  • conda-env

Anaconda 2018.12 (Dec 21, 2018)#

User-facing changes#

  • Anaconda version numbers now follow a year.month format.

  • OpenSSL 1.1.1 is installed on all platforms and versions except for the Python 2.7 on win-32 and win-64.

  • This is the last Anaconda release for the linux-32 platform.

Backend improvements (non-visible changes)#

  • Improvements have been made to conda which will decrease the time it takes to solve and install packages.

Major package updates#

  • bokeh 0.13.0 -> 1.0.2

  • dask 0.19.1 -> 1.0.0

  • ipython 6.5.0 -> 7.2.0

  • jupyter_client 5.2.3 -> 5.2.4

  • jupyter_console 5.2.0 -> 6.0.0

  • jupyterlab 0.34.9 -> 0.35.3

  • matplotlib 2.2.3 -> 3.0.2

  • mkl 2019.0 -> 2019.1

  • numba 0.39.0 -> 0.41.0

  • numpy 1.15.1 -> 1.15.4

  • pillow 5.2.0 -> 5.3.0

  • python 3.7.0 -> 3.7.1

  • requests 2.19.1 -> 2.21.0

  • scikit-image 0.14.0 -> 0.14.1

  • scikit-learn 0.19.2 -> 0.20.1

  • spyder 3.3.1 -> 3.3.2

  • spyder-kernels 0.2.6 -> 0.3.0

  • sympy 1.2 -> 1.3

  • conda 4.5.12

  • conda-build 3.17.6

  • conda-env 2.6.0

  • jupyterlab_server 0.2.0

Anaconda 5.3.1 (Nov 19, 2018)#

User-facing changes#

Anaconda 5.3.0 (Sept 28, 2018)#

User-facing changes#

  • The Anaconda3 installers ship with python 3.7 instead of python 3.6

  • Windows installers disallow the character , in installation path to prevent usability issues.

  • Instructions in the macOS pkg installer for choice of initializing installation has been improved.

Backend improvements (non-visible changes)#

  • Installers mimic the functionality of “conda init” (a highly anticipated feature in conda 4.6) instead of just adding $PREFIX/bin to PATH in bash profile.

  • The repodata_record.json file for each package in the package cache directory is populated correctly, which will assist in offline installation of packages in new environments.

Major package updates#

  • anaconda-client 1.6.14 -> 1.7.2

  • bokeh 0.12.16 -> 0.13.0

  • dask 0.17.5 -> 0.19.1

  • ipython 6.4.0 -> 6.5.0

  • jupyterlab 0.32.1 -> 0.34.9

  • jupyterlab_launcher 0.10.5 -> 0.13.1

  • matplotlib 2.2.2 -> 2.2.3

  • mkl 2018.0.2 -> 2019.0

  • numba 0.38.0 -> 0.39.0

  • numpy 1.14.3 -> 1.15.1

  • pandas 0.23.0 -> 0.23.4

  • pillow 5.1.0 -> 5.2.0

  • python 3.6.5 -> 3.7.0

  • requests 2.18.4 -> 2.19.1

  • scikit-image 0.13.1 -> 0.14.0

  • scikit-learn 0.19.1 -> 0.19.2

  • seaborn 0.8.1 -> 0.9.0

  • spyder 3.2.8 -> 3.3.1

  • sympy 1.1.1 -> 1.2

  • spyder-kernels 0.2.6

Anaconda 5.2.0 (May 30, 2018)#

User-facing changes#

  • Windows installers disallow the characters ! % ^ = in installation path to prevent later usability issues

  • Improved Windows multi-user installations by providing more dynamic shortcut working directory behavior

  • Default channels point to repo.anaconda.com instead of repo.anaconda.com

Backend improvements (non-visible changes)#

  • Security fixes for more than 20 packages based on a deep-dive of CVE vulnerabilities

  • Windows installer uses a trimmed down value for PATH env var, to avoid DLL hell with existing software

  • History file in the conda-meta directory is populated correctly to improve behavior of --prune

  • Developer certificate for macOS pkg installers has been updated to Anaconda, Inc.

Major package updates#

  • anaconda-client 1.6.9 -> 1.6.14

  • bokeh 0.12.13 -> 0.12.16

  • dask 0.16.1 -> 0.17.5

  • ipython 6.2.1 -> 6.4.0

  • jupyter_client 5.2.2 -> 5.2.3

  • jupyterlab 0.31.5 -> 0.32.1

  • jupyterlab_launcher 0.10.2 -> 0.10.5

  • matplotlib 2.1.2 -> 2.2.2

  • mkl 2018.0.1 -> 2018.0.2

  • numba 0.36.2 -> 0.38.0

  • numpy 1.14.0 -> 1.14.3

  • pandas 0.22.0 -> 0.23.0

  • pillow 5.0.0 -> 5.1.0

  • python 3.6.4 -> 3.6.5

  • scipy 1.0.0 -> 1.1.0

  • spyder 3.2.6 -> 3.2.8

  • statsmodels 0.8.0 -> 0.9.0

  • blas 1.0

Anaconda 5.1.0 (Feb 15, 2018)#

User-facing changes#

  • Microsoft Visual Studio Code added as an install option

  • Anaconda Navigator has install and launch options for VS Code

  • The installer support link has been replaced with the Getting Started page

  • JupyterLab updated to 0.31.5 on most platforms (Updated to 0.31.4 on Windows)

Backend improvements (non-visible changes)#

  • Power packages are built with same recipes as rest of distribution

  • Fixed some incomplete Windows installations due to interactions with antivirus software

  • Fixed spaces in paths problems on Windows

  • Anaconda Navigator was removed from the anaconda metapackage (but not the Anaconda installer)

  • Installers present warnings when executed on the wrong platform

Major package updates#

  • anaconda-client 1.6.5 -> 1.6.9

  • anaconda-project 0.8.0 -> 0.8.2

  • anaconda-navigator 1.6.9 -> 1.7.0

  • bokeh 0.12.10 -> 0.12.13

  • conda 4.3.27 -> 4.4.10

  • conda-build 3.0.27 -> 3.4.1

  • dask 0.15.3 -> 0.16.1

  • ipython 6.1.0 -> 6.2.1

  • jupyter_client 5.1.0 -> 5.2.2

  • jupyter_core 4.3.0 -> 4.4.0

  • jupyterlab_launcher 0.4.0 -> 0.10.2

  • matplotlib 2.1.0 -> 2.1.2

  • mkl 2018.0.0 -> 2018.0.1

  • numba 0.35.0 -> 0.36.2

  • numpy 1.13.3 -> 1.14.0

  • pandas 0.20.3 -> 0.22.0

  • pillow 4.2.1 -> 5.0.0

  • python 3.6.3 -> 3.6.4

  • scikit-image 0.13.0 -> 0.13.1

  • scipy 0.19.1 -> 1.0.0

  • seaborn 0.8.0 -> 0.8.1

  • spyder 3.2.4 -> 3.2.6

Anaconda 5.0.1 (Oct 25, 2017)#

  • R has been updated to version 3.4.2. All R packages (including RStudio) have been rebuilt to be compatible with the new Anaconda 5.0 compilers.

  • Updated many packages, including Python, Numpy, Spyder, Navigator, and Bokeh.

  • The MKL library load path has been modified to address issue for Julia users.

  • Fixed an OpenSSL issue with WSL on Windows.

  • Fixed Anaconda Installer Configuration (AIC) feature for Unix installers.

  • Re-enabled spaces in installation paths on Windows (temporarily disabled in 5.0.0).

Major package updates#

  • anaconda-navigator 1.6.8 -> 1.6.9

  • bokeh 0.12.7 -> 0.12.10

  • conda 4.3.27 -> 4.3.30

  • conda-build 3.0.22 -> 3.0.27

  • dask 0.15.2 -> 0.15.3

  • matplotlib 2.0.2 -> 2.1.0

  • numpy 1.13.1 -> 1.13.3

  • python 2.7.13 -> 2.7.14

  • python 3.6.2 -> 3.6.3

  • scikit-learn 0.19.0 -> 0.19.1

  • spyder 3.2.3 -> 3.2.4

Anaconda 5.0.0.1 (Oct 02, 2017)#

  • Fixes Python & C compiler fallback path for all cases on x86/x86_64 Linux. Without this fix, people were required to use our new compilers, which is not something we want to enforce at this time. This was affecting travis-ci builds and pip installs of packages that require compilation for extensions.

Anaconda 5.0.0 (Sep 26, 2017)#

  • Over 100 packages updated and added. MKL is updated to 2018.0.0. JupyterLab alpha preview 0.27.0 is included.

  • All new compilers on macOS and Linux, giving substantial security and performance improvements.

  • Where possible, all build recipes use conda-forge as a base, using AnacondaRecipes .

  • A new channel, pkgs/main, has been added to defaults. The new channel is given top priority within defaults and holds packages built with the new compiler stack.

  • Continuum Analytics has been renamed to Anaconda, Inc. See this blog post for more.

  • Spaces are no longer allowed in the installation path on Windows.

  • Transitioned to more flexible dependency pinning of numpy packages, giving wider ranges of compatibility.

Major package updates#

  • anaconda-client 1.6.3 -> 1.6.5

  • anaconda-navigator 1.6.2 -> 1.6.8

  • anaconda-project 0.6.0 -> 0.8.0

  • bokeh 0.12.5 -> 0.12.7

  • conda 4.3.21 -> 4.3.27

  • dask 0.14.3 -> 0.15.2

  • jupyter_client 5.0.1 -> 5.1.0

  • jupyter_console 5.1.0 -> 5.2.0

  • numba 0.33.0 -> 0.35.0

  • numpy 1.12.1 -> 1.13.1

  • pandas 0.20.1 -> 0.20.3

  • pillow 4.1.1 -> 4.2.1

  • requests 2.14.2 -> 2.18.4

  • scikit-learn 0.18.1 -> 0.19.0

  • scipy 0.19.0 -> 0.19.1

  • seaborn 0.7.1 -> 0.8.0

  • spyder 3.1.4 -> 3.2.3

  • sympy 1.0 -> 1.1.1

  • conda-build 3.0.22

  • jupyterlab 0.27.0

  • jupyterlab_launcher 0.4.0

Anaconda 4.4.0 (May 31, 2017)#

Anaconda 4.4 was released on May 31, 2017 and includes the following:

  • Support added for the “ppc64le” machine type, for the POWER8 LE architecture used by IBM Power Systems and OpenPOWER servers.

  • On Windows, the PATH environment variable is no longer changed by default, as this can cause trouble with other software. Instead, use Anaconda Navigator or the Anaconda Prompt in the Start Menu under “Anaconda” to use Anaconda software. If a user does choose to change the PATH variable, Anaconda is no longer appended to the PATH in system mode, and is now always added to the front of PATH in either system mode or user mode.

  • Python 3.5 is updated from 3.5.2 to 3.5.3 and Python 3.6 from 3.6.0 to 3.6.1. Anaconda 4.4 supports Python 2.7, 3.5, and 3.6. Anaconda 4.3 was the last release to support Python 3.4.

  • Minimum supported version of CentOS is now CentOS 6. Anaconda 4.3 was the last release to support CentOS 5.

  • Applied pycrypto patch for CVE-2013-7439.

  • Improved cp_acp support for install paths with non-ASCII characters on Windows.

  • conda is updated from 4.3.14 to 4.3.21.

  • Navigator is updated from 1.5.0 to 1.6.2.

  • Project is updated from 0.4.1 to 0.6.0.

  • Added distributed and pyodbc to the installers.

  • Updated EULA.

  • Conda packages with “mkl” in the package name now contain a file license.txt with a copy of the Intel Simplified Software License that applies to the Intel Math Kernel Library (MKL).

  • Over 90 packages are updated or added.

Highlights:

  • add support for the ppc64le (POWER8 LE used by IBM Power Systems and OpenPOWER servers) machine types

Other changes:

  • On Windows, the PATH environment variable is no longer changed by default, as this can cause trouble with other software. The recommended approach is to instead use Anaconda Navigator or the Anaconda Prompt (located in the Start Menu under “Anaconda”) when you wish to use Anaconda software. Also, Anaconda will always be added to the front of PATH, for either system or user mode. (Previously it was appended to the system path.)

  • improve cp_acp support for install path on Windows

  • updated 80 packages in the installer (and their dependencies)

  • added distributed and pyodbc to the installers

  • apply pycrypto patch for CVE-2013-7439

  • end support for CentOS 5. CentOS 6 is now the minimum supported version.

Updates:

  • anaconda-client from 1.6.0 to 1.6.3

  • bokeh from 0.12.4 to 0.12.5

  • dask from 0.13.0 to 0.14.3

  • ipython from 5.1.0 to 5.3.0

  • jupyter_client from 4.4.0 to 5.0.1

  • jupyter_console from 5.0.0 to 5.1.0

  • jupyter_core from 4.2.1 to 4.3.0

  • matplotlib from 2.0.0 to 2.0.2

  • numba from 0.30.1 to 0.33.0

  • numpy from 1.11.3 to 1.12.1

  • pandas from 0.19.2 to 0.20.1

  • pillow from 4.0.0 to 4.1.1

  • python 3.5 from 3.5.2 to 3.5.3

  • python 3.6 from 3.6.0 to 3.6.1

  • requests from 2.12.4 to 2.14.2

  • scikit-image from 0.12.3 to 0.13.0

  • scipy from 0.18.1 to 0.19.0

  • spyder from 3.1.2 to 3.1.4

  • statsmodels from 0.6.1 to 0.8.0

Anaconda 4.3.1 (Mar 10, 2017)#

This patch release fixes problems with Anaconda Navigator not starting correctly on some versions of Mac OS X when using the GUI installers.

Fixes:

  • removed creation of ~/.continuum folder during install process on all platforms

  • fixed ‘//’ showing up in prefix when installing system wide on Mac OS using the GUI installer

  • fixed OpenSSL not being installable into a path which contains spaces

  • allow Unicode characters in install path on Windows (cp_acp fix)

Updates:

  • anaconda-navigator from 1.4.3 to 1.5.0

  • conda from 4.3.8 to 4.3.14

Added:

  • anaconda-project 0.4.1

Anaconda 4.3.0.1 (Feb 03, 2017)#

In this “mirco” patch release, we fixed a problem with the Windows installers which was causing problems with Qt applications when the install prefix exceeds 30 characters. No new Anaconda meta-packages correspond to this release (only new Windows installers).

Anaconda 4.3.0 (Jan 31, 2017)#

Highlights:

  • The Anaconda3 installers are based on Python 3.6. Anaconda 4.3 supports Python 2.7, 3.4, 3.5 and 3.6. Anaconda 4.3 will be the last release which supports Python 3.4. We will discontinue regular Python 3.4 package updates in the next release.

  • The Intel Math Kernel Library (MKL) is updated from 11.3.3 to 2017.0.1.

  • Over 90 packages are updated.

  • seaborn is now installed by default.

Other changes:

  • Updates jpeg and libpng to increase compatibility with conda-forge.

  • Warns about possible errors if installing on Windows into an install path with spaces, and does not allow installation if the install path contains unicode characters.

  • Fixes many Windows menu uninstallation issues and some other often reported uninstallation issues on Windows.

  • Anaconda 4.2 is the last release that supports macOS 10.7 and macOS 10.8. Anaconda 4.3 supports macOS versions from 10.9 through the current version 10.12.

  • conda-build, anaconda-clean and the Jupyter Notebook extensions are no longer installed by default but can be installed with a single conda command.

Major package updates:

  • anaconda-client from 1.5.1 to 1.6.0

  • anaconda-navigator from 1.3.1 to 1.4.3

  • bokeh from 0.12.2 to 0.12.4

  • conda from 4.2.9 to 4.3.8

  • dask from 0.11.0 to 0.13.0

  • jupyter_core from 4.2.0 to 4.2.1

  • matplotlib from 1.5.3 to 2.0.0

  • mkl from 11.3.3 to 2017.0.1

  • numba from 0.28.1 to 0.30.1

  • numpy from 1.11.1 to 1.11.3

  • pandas from 0.18.1 to 0.19.2

  • pillow from 3.3.1 to 4.0.0

  • python from 2.7.12 to 2.7.13

  • requests from 2.11.1 to 2.12.4

  • scikit-learn from 0.17.1 to 0.18.1

  • spyder from 3.0.0 to 3.1.2

  • seaborn 0.7.1

Anaconda 4.2.0 (Sep 28, 2016)#

Highlights:

  • updated Qt from major version 4 to 5

  • updated IPython from 4.2 to 5.1

  • added anaconda-clean, a tool for cleaning up Anaconda related configuration files and directories

Fixes:

  • fixed Windows Outlook crash in silent install mode

  • updated OpenSSL to 1.0.2j which contains important security fixes

Updates:

  • anaconda-client from 1.4.0 to 1.5.1

  • anaconda-navigator from 1.2.1 to 1.3.1

  • bokeh from 0.12.0 to 0.12.2

  • conda from 4.1.4 to 4.2.9

  • conda-build form 1.21.2 to 2.0.2

  • dask from 0.10.0 to 0.11.0

  • ipython from 4.2.0 to 5.1.0

  • jupyter_client from 4.3.0 to 4.4.0

  • jupyter_console from 4.1.1 to 5.0.0

  • jupyter_core from 4.1.0 to 4.2.0

  • matplotlib from 1.5.1 to 1.5.3

  • nb_anacondacloud from 1.1.0 to 1.2.0

  • nb_conda from 1.1.0 to 2.0.0

  • nb_conda_kernels from 1.0.3 to 2.0.0

  • numba from 0.26.0 to 0.28.1

  • pillow from 3.2.0 to 3.3.1

  • requests from 2.10.0 to 2.11.1

  • scipy from 0.17.1 to 0.18.1

  • spyder from 2.3.9 to 3.0.0

Removed (from installer only):

  • pyreadline

  • sphinx_rtd_theme

  • conda-env (now part of conda itself)

Anaconda 4.1.1 (Jul 08, 2016)#

Fixes:

  • Running the shell installer on some older system, would print out (harmless) tracebacks during the install process, see: ContinuumIO/anaconda-issues#860

  • We added blaze 0.10.1 back into the installer, which was accidentally missing in 4.1.0

Updates:

  • bokeh from 0.11.1 to 0.12.0

  • bottleneck from 1.0.0 to 1.1.0

  • conda from 4.1.4 to 4.1.6

  • conda-build from 1.21.2 to 1.21.3

  • numpy from 1.11.0 to 1.11.1

  • Python 2.7 from 2.7.11 to 2.7.12

  • Python 3.4 from 3.4.4 to 3.4.5

  • Python 3.5 from 3.5.1 to 3.5.2

Anaconda 4.1.0 (Jun 28, 2016)#

Highlights:

  • added Jupyter Notebook Extensions

  • Windows installation: silent mode fixes & now compatible with SCCM (System Center Configuration Manager)

  • updated MKL to 11.3.3, numpy to 1.11.0, as well as over 80 other updates, see below

  • update Navigator from 1.1 to 1.2, in particular it no longer installs a desktop shortcut on macOS

  • conda-recipes used to build the vast majority of the packages in the Anaconda installer have been published at: ContinuumIO/anaconda-recipes

Updates:

  • anaconda-navigator from 1.1.0 to 1.2.1

  • conda from 4.0.5 to 4.1.4

  • conda-build from 1.20.0 to 1.21.2

  • conda-env from 2.4.5 to 2.5.1

  • dask from 0.8.1 to 0.10.0

  • datashape from 0.5.1 to 0.5.2

  • ipython from 4.1.2 to 4.2.0

  • jupyter_client from 4.2.2 to 4.3.0

  • mkl from 11.3.1 to 11.3.3

  • numba from 0.24.0 to 0.26.0

  • numpy from 1.10.4 to 1.11.0

  • pandas from 0.18.0 to 0.18.1

  • pillow from 3.1.1 to 3.2.0

  • requests from 2.9.1 to 2.10.0

  • scipy from 0.17.0 to 0.17.1

  • spyder from 2.3.8 to 2.3.9

Anaconda 4.0.0 (Mar 29, 2016)#

The reason for jumping the Anaconda version from 2.5 to 4.0 is to avoid any possible confusion with the versions of Python included in Anaconda.

Highlights:

  • this release of Anaconda includes the new Navigator, which is a graphical tool developed by Continuum Analytics to manage conda environments, applications and much more.

Enhancements:

  • much improved package resolving in the new conda 4.0

Fixes:

  • updated OpenSSL to 1.0.2g which contains important security fixes

Updates:

  • anaconda-client from 1.2.2 to 1.4.0

  • bokeh from 0.11.0 to 0.11.1

  • conda from 3.19.1 to 4.0.5

  • conda-build from 1.19.0 to 1.20.0

  • ipython from 4.0.3 to 4.1.2

  • jupyter_client from 4.1.1 to 4.2.2

  • jupyter_console from 4.1.0 to 4.1.1

  • jupyter_core from 4.0.6 to 4.1.0

  • numba from 0.23.1 to 0.24.0

  • pandas from 0.17.1 to 0.18.0

  • pillow from 3.1.0 to 3.1.1

  • scikit-image from 0.11.3 to 0.12.3

  • scikit-learn from 0.17 to 0.17.1

  • sympy from 0.7.6.1 to 1.0

Added:

  • anaconda-navigator 1.1.0

  • conda-manager 0.3.1

  • dask 0.8.1

Removed (from installer only, the packages are still available):

  • abstract-rendering

  • gevent-websocket

  • launcher

  • node-webkit

Anaconda 2.5.0 (Feb 05, 2016)#

Highlights:

  • add MKL (runtime, version 11.3.1) and make it the default backend for numpy, scipy, scikit-learn and numexpr on all platforms

Enhancements:

  • added Windows debug information files, more precisely program database (.pdb files) files for Python by default

  • added NoRegistry option to Windows installers, passing /NoRegistry=1 makes the installer not touch the registry

Fixes:

  • in some cases start menu items were not created on Windows, due to a race condition, which we fixed in menuinst

  • fixed the -f option of the Unix bash installers

  • updated OpenSSL to 1.0.2f which contains important security fixes

Updates:

  • anaconda-client from 1.2.1 to 1.2.2

  • bokeh from 0.10.0 to 0.11.0

  • conda from 3.18.8 to 3.19.1

  • conda-build from 1.18.2 to 1.19.0

  • ipython from 4.0.1 to 4.0.3

  • jupyter_console from 4.0.3 to 4.1.0

  • matplotlib from 1.5.0 to 1.5.1

  • numba from 0.22.1 to 0.23.1

  • numpy from 1.10.1 to 1.10.4

  • pillow from 3.0.0 to 3.1.0

  • python 3.4 from 3.4.3 to 3.4.4

  • requests from 2.8.1 to 2.9.1

  • scipy from 0.16.0 to 0.17.0

Added:

  • et_xmlfile 1.0.1

  • futures 3.0.3

  • mkl 11.3.1

  • mkl-service 1.1.1

Removed (from installer only, the packages are still maintained and available):

  • openblas 0.2.14 (Linux)

  • theano 0.7.0 (Linux)

  • ujson 1.33

Anaconda 2.4.1 (Dec 08, 2015)#

Fixes:

  • added missing Windows process elevation when creating menu items

  • added libdynd and dynd-python, which was missing in the last release

  • fixed Cython on Mac OS X reporting missing libgcc_s.10.5.dylib

  • fixed default channels being shown correctly in “conda list” after installing using Anaconda installer

Updates:

  • anaconda-client from 1.1.0 to 1.2.1

  • conda from 3.18.3 to 3.18.8

  • conda-build 1.18.1 to 1.18.2

  • conda-env from 2.4.4 to 2.4.5

  • ipython from 4.0.0 to 4.0.1

  • matplotlib from 1.4.3 to 1.5.0

  • numba from 0.21.0 to 0.22.1

  • pandas from 0.17.0 to 0.17.1

  • python 2.7 from 2.7.10 to 2.7.11

  • python 3.5 from 3.5.0 to 3.5.1

  • scikit-learn from 0.16.1 to 0.17

  • spyder from 2.3.7 to 2.3.8

Added:

  • backports_abc 0.4

  • cycler 0.9.0

  • libdynd and dynd-python 0.7.0

  • jbig 2.1

  • pycairo 1.10.0

Anaconda 2.4.0 (Nov 02, 2015)#

Highlights:

  • add Python 3.5 support

  • updated NumPy to 1.10

  • added OpenBLAS support on Linux

  • made drastic speed improvements to conda

  • moved from IPython to Jupyter

  • improved Start Menus on Windows

  • updated Qt to 4.8.7 on all platforms

  • updates to more than 60 other packages

Known issues:

  • numba and llvmlite are missing for Python 3.5 (because they don’t support this Python version yet)

  • numpy 1.10 has performance regression for record array access, see numpy/numpy#6467

  • Python 3.5 does not work on Windows XP

Major package updates:

  • bokeh from 0.9.0 to 0.10.0

  • conda from 3.14.1 to 3.18.3

  • conda-build from 1.14.1 to 1.18.1

  • conda-env from 2.2.3 to 2.4.4

  • ipython from 3.2.0 to 4.0.0

  • networkx from 1.9.1 to 1.10

  • numba from 0.19.1 to 0.21.0

  • numpy from 1.9.2 to 1.10.1

  • pandas from 0.16.2 to 0.17.0

  • pillow from 2.8.2 to 3.0.0

  • requests from 2.7.0 to 2.8.1

  • scipy from 0.15.1 to 0.16.0

  • spyder from 2.3.5.2 to 2.3.7

  • sympy from 0.7.6 to 0.7.6.1

Added:

  • anaconda-client 1.1.0

  • jupyter 1.0.0

  • jupyter_client 4.1.1

  • jupyter_console 4.0.3

  • jupyter_core 4.0.6

Anaconda 2.3.0 (Jul 02, 2015)#

Highlights:

  • updates to 60 packages, including Python 2.7.10 and Pandas 0.16.2

  • support for signed packages in conda

Fixes:

  • fixed the extra space in IPython terminal being created when typing the tab key on Linux

  • added missing zope.interface.common sub-package

  • fixed Sphinx package being included in Spyder package

Enhancements:

  • added support for signed packages in conda

  • added curl on Windows, and kerberos authentication support

  • added Windows support for libnetcdf and hdf5

  • split gdal into libgdal and gdal (python-bindings)

Known issues:

  • when opening some HDF5 files, pytables will crash on Windows and Python 3

Major package updates:

  • bokeh from 0.8.1 to 0.9.0

  • conda from 3.10.0 to 3.14.1

  • conda-build from 1.11.0 to 1.14.1

  • conda-env from 2.1.3 to 2.2.3

  • ipython from 3.0.0 to 3.2.0

  • numba from 0.17.0 to 0.19.1

  • pandas from 0.15.2 to 0.16.2

  • pillow from 2.7.0 to 2.8.2

  • python from 2.7.9 to 2.7.10

  • requests from 2.6.0 to 2.7.0

  • scikit-image from 0.11.2 to 0.11.3

  • scikit-learn from 0.15.2 to 0.16.1

  • spyder from 2.3.4 to 2.3.5.2

Anaconda 2.2.0 (Mar 31, 2015)#

Highlights:

  • updates to 61 packages, including: Python, NumPy, Bokeh, pandas and blaze

  • added 16 new packages

  • added HTTPS support for default conda packages repo

Fixes:

  • fixed cython command on Windows

  • fixed untgz NSIS plugin to install files with exactly 100 characters

Enhancements:

  • added https support for default conda packages repo

  • renamed dateutil to python-dateutil to reflect the official name

  • added HDF5 and netcdf support for GDAL

  • switched to using Pillow instead of PIL

  • changed ipython-notebook to start directory to home directory on Windows

Major package updates:

  • bokeh from 0.6.1 to 0.8.1

  • conda from 3.7.0 to 3.10.0

  • conda-build from 1.8.2 to 1.11.0

  • ipython from 2.2.0 to 3.0.0

  • matplotlib from 1.4.0 to 1.4.3

  • numba from 0.14.0 to 0.17.0

  • numpy from 1.9.0 to 1.9.2

  • pandas from 0.14.1 to 0.15.2

  • python from 2.7.8 to 2.7.9

  • requests from 2.4.1 to 2.6.0

  • scikit-image from 0.10.1 to 0.11.2

  • scipy from 0.14.0 to 0.15.1

  • spyder from 2.3.1 to 2.3.4

  • statsmodels from 0.5.0 to 0.6.1

  • sympy from 0.7.5 to 0.7.6

  • pillow 2.7.0

Anaconda 2.1.0 (Sep 30, 2014)#

Fixes:

  • fixed the ability to compile C extensions in Python 3 using MinGW

  • added missing lzma module to Python 3.3 and 3.4 (links to xz)

  • added missing werkzeug/debug/shared package data to Werkzeug package

Enhancements:

  • added statsmodel support for Python 3.4

  • added LZO support for pytables on Linux

  • added scikit-learn support for Python 3.4

  • added Windows cffi support (in repository)

  • added bsddb conda package on Linux to support Berkeley DB

Updates:

  • bokeh from 0.4.4 to 0.6.1

  • conda from 3.5.2 to 3.7.0

  • conda-build from 1.3.3 to 1.8.2

  • ipython from 2.1.0 to 2.2.0

  • matplotlib from 1.3.1 to 1.4.0

  • numba from 0.13.2 to 0.14.0

  • numpy from 1.8.2 to 1.9.0

  • pandas from 0.14.0 to 0.14.1

  • python from 2.7.7 to 2.7.8

  • requests from 2.3.0 to 2.4.1

  • scikit-image from 0.10.0 to 0.10.1

  • scikit-learn from 0.14.1 to 0.15.2

  • spyder from 2.3.0rc1 to 2.3.1

Anaconda 2.0.1 (Jun 12, 2014)#

Fixes:

  • added missing libpython (the so-called MinGW import library) for Python 3.4

  • in order to make pandas.io.excel work, we downgraded openpyxl from 2.0.2 to 1.8.5

  • added missing idle script on Windows

Updates:

  • conda from 3.5.2 to 3.5.5

  • conda-build from 1.3.3 to 1.3.5

  • numba from 0.13.1 to 0.13.2

  • pandas from 0.13.1 to 0.14.0

  • python from 2.7.6 to 2.7.7

  • scikit-image from 0.9.3 to 0.10.0

Anaconda 2.0.0 (May 28, 2014)#

Fixes:

  • on Windows the /D option of the executable installer is now working

  • added missing TkAgg matplotlib backend on Windows

  • added missing osgeo._gdal_array extension to GDAL

  • fixed rope on Python 3

Known issues:

  • even though the matplotlib tkagg backend is now supported on all platforms and with all Python versions now, there might be problems on Windows with Python 3.4

  • the Windows file association (‘.py’-files being executed by the Anaconda Python interpreter) is not working

Enhancements:

  • switched from using PySide to PyQt as the default Qt binding

  • added lcms to PIL on Unix

  • added ability to copy files upon install when filesystem fails to create hard links

  • added netCDF4 support on 64-bit Windows

  • on macOS, Tk in now linked to Cocoa (instead of X11)

Major package updates:

  • conda from 3.0.6 to 3.5.2

  • conda-build from 1.2.0 to 1.3.3

  • ipython from 1.1.0 to 2.1.0

  • numba from 0.12.1 to 0.13.1

  • numpy from 1.8.0 to 1.8.1

  • requests from 2.2.1 to 2.3.0

  • scipy from 0.13.3 to 0.14.0

  • spyder from 2.2.5 to 2.3.0rc1

  • sympy from 0.7.4.1 to 0.7.5

  • python from 3.3.4 to 3.4.1

Anaconda 1.9.2 (Apr 09, 2014)#

Fixes:

  • updated to openssl 1.0.1g on Unix to fix the “Heartbleed bug” of the TLS Heartbeat Extension problem (reported in the news)

  • fixed /D option in silent mode for Windows installer

Updates:

  • openssl from 1.0.1c to 1.0.1g

  • conda from 3.0.6 to 3.4.1

  • conda-build from 1.2.0 to 1.3.1

Anaconda 1.9.1 (Feb 20, 2014)#

Fixes:

  • openpyxl to depend on up-to-date version of lxml

  • added missing MSVCP (both for 2008 and 2010) DLLs to Windows installers which fixes issues with the user install mode on some systems

Updates:

  • conda from 3.0.3 to 3.0.6

  • conda-build from 1.1.0 to 1.2.0

  • numba from 0.12.0 to 0.12.1

  • pandas from 0.13.0 to 0.13.1

  • python from 3.3.3 to 3.3.4

Added:

  • added Py3k support for h5py

  • netcdf4 on 32-bit Windows

  • xlsxwriter 0.5.2

Anaconda 1.9.0 (Feb 10, 2014)#

Highlights:

  • NumPy updated to version 1.8

  • updates to about 35 packages, including Bokeh and Blaze

  • added 10 new packages

Enhancements:

  • use MSVC 2010 to compile Python 3 and C extensions on Windows

  • remove distribute in favor of setuptools

  • enable threadsafe when building HDF5 on Linux

  • renamed the Python Imaging Library (PIL) from imaging to pil

  • updated EULA

Fixes:

  • ssl bindings in Python standard library on macOS

  • Windows installers not working properly when PYTHONHOME is set

Updated:

  • conda from 2.0.4 to 3.0.3

  • numba from 0.11.0 to 0.12.0

  • numpy from 1.7.1 to 1.8.0

  • pandas from 0.12.0 to 0.13.0

  • python from 2.7.5 to 2.7.6

  • requests 1.2.3 to 2.2.1

  • scipy from 0.13.0 to 0.13.2

  • sympy from 0.7.3 to 0.7.4.1

Added:

  • argcomplete 0.6.7

  • blz 0.6.1

  • cdecimal 2.3

  • conda-build 1.1.0

  • datashape 0.1.0

  • future 0.11.2

  • kiwisolver 0.1.2

  • mock 1.0.1

  • setuptools 2.1

  • ssl_match_hostname 3.4.0.2

  • ujson 1.33

  • scikit-learn and redis-py support for Python 3

  • added traits and unittest2 support for Python 2.6

Removed:

  • distribute

  • llvmmath

  • meta

Anaconda 1.8.0 (Nov 05, 2013)#

Enhancements:

  • on Windows the installer now allows installing in user mode without having system administrator privileges

  • use RPATH (instead of RUNPATH) on Linux, which fixes link problems when LD_LIBRARY_PATH is set

  • added ipython-notebook meta package for all supported Python versions

  • removed curl binary on macOS, to avoid superseding system curl

Fixes:

  • wrong location of VTK libraries in VTKTargets-debug.cmake on Linux

  • fix python.app problem related to adding the symlink to lib, which also appears to create problems with %%cython magic in ipython

  • apply patch to Mayavi, which foxes running mlab scripts

Updated:

  • conda from 1.9.1 to 2.0.4

  • ipython 1.0.0 to 1.1.0

  • matplotlib from 1.3.0 to 1.3.1

  • numba from 0.10.2 to 0.11.0

  • scikit-image from 0.8.2 to 0.9.3

  • scipy from 0.12.0 to 0.13.0

  • sypder from 2.2.4 to 2.2.5

Added:

  • blaze 0.3

  • pykit 0.1

  • beautiful-soup 4.3.1

  • openpyxl 1.6.2

Anaconda 1.7.0 (Sep 10, 2013)#

Highlights:

  • added VTK, Mayavi and Bokeh

  • updated to new ipython 1.0 and matplotlib 1.3, and llvm 3.3

  • many improvements and bug fixes to conda

Enhancements:

  • removed conda as a direct anaconda dependency

  • add MinGW runtime DLLs to Scripts directory on Windows

  • fixed python-dateutil for Python 2

Updated:

  • conda from 1.7.2 to 1.9.1

  • ipython from 0.13.2 to 1.0.0

  • matplotlib from 1.2.1 to 1.3.0

  • numba from 0.9.0 to 0.10.2

  • pandas from 0.11.0 to 0.12.0

  • scikit-learn from 0.13.1 to 0.14.1

  • spyder from 2.2.0 to 2.2.4

  • sympy from 0.7.2 to 0.7.3

Added:

  • bokeh 0.1.1

  • chaco 4.3.0

  • configobj 4.7.2

  • markupsafe 0.18

  • mayavi 4.3.0

  • patsy 0.2.1

  • traits 4.3.0

  • vtk 5.10.1

Anaconda 1.6.2 (Jul 09, 2013) (Windows only)#

  • Fixed path being incorrectly appended on Windows during install

Anaconda 1.6.1 (Jul 03, 2013)#

  • fixed .pkg installer

  • updated binstar from 0.1.1 to 0.1.2 (fixes upload on Windows)

  • updated conda from 1.7.1 to 1.7.2 (fixes updating python.app on macOS)

  • updated dynd from 0.3.0 to 0.4.0

  • updated launcher from 0.1.1 to 0.1.2

  • added missing pydoc command on Unix

  • macOS: fix hard coded build prefix in .dylib files for may other libraries

  • Windows: append instead of prepend path on Windows

Anaconda 1.6.0 (Jun 21, 2013)#

Highlights:

  • the “Launcher”, which allows users to start up applications

  • conda has now the ability to build conda packages, which can be uploaded to binstar.org

  • conda now uses a SAT solver to solve the install dependency problem

Enhancements:

  • added a .pkg installer for macOS, such that installing Anaconda does not require command line access

  • create copy of .bashrc (.bash_profile on macOS) before appending the PATH setting upon install

  • Windows Menu items should are now installed system wide

Fixes:

  • removed Lib/test/testbz2_bigmem.bz2 from Windows, this (harmless) file was triggering Trojan-ArcBomb.BZip.Agent warning, see: http://bugs.python.org/issue17843

  • json.decoder in Python 2.7 standard library not using .decode(‘hex’), this was (mysteriously) causing install problems on macOS

  • fixed PIL._imagetk on Linux

Updated:

  • python from 2.7.4 to 2.7.5, and 3.3.1 to 3.3.2

  • conda from 1.5.2 to 1.7.1

  • numba from 0.8.1 to 0.9.0

  • requests from 1.2.0 to 1.2.3

Added:

  • launcher 0.1.1

  • binstar 0.1.1

  • itsdangerous 0.21

  • keyring 1.4

  • llvmmath 0.1.0

  • pep8 1.4.5

  • pywin32 218.4 on Windows

Anaconda 1.5.1 (May 09, 2013) (macOS only)#

  • fixed pip command

  • replace spaces by underscore in user install location

  • shared libraries now link to /usr/lib/libgcc_s.1.dylib (instead of /usr/local/lib/libgcc_s.1.dylib)

Anaconda 1.5.0 (May 08, 2013)#

Highlights:

  • updates to all important packages: python, numpy, scipy, ipython, matplotlib, pandas, cython

  • added netCDF4 (with OpenDAP support) on Linux and macOS

Fixed:

  • Cython on macOS on Python 2.6, due to a problem with Pyhton’s config/Makefile

  • py.test command (all platforms)

  • python-config command not using correct interpreter on macOS

  • added missing MSVC 2008 and 2010 runtime to Windows installers

  • removed hard-coded build location from identification name of dynamic shared libraries on macOS, to allow easier building against libraries in Anaconda

Enhancements:
  • The Windows installers has a new dialog box with the following options:

    • “Add Anaconda to the System Path”

    • “Register Anaconda as default Python version of the system”

  • The Unix installers have an option to add Anaconda to the path in the ~/.bashrc (on Linux) or ~/.bash_profile (on macOS). On macOS the default is ‘yes’, on Linux the default is ‘no’.

  • added armv6l supports (only Python 2.7 and selected packages)

  • link pycurl and libnetcdf dynamically against curl library on Unix

  • add configure option –with-pgm for zeromq on Unix

Updates:

  • python from 2.7.3 to 2.7.4, and 3.3.0 to 3.3.1

  • numpy from 1.7.0 to 1.7.1

  • scipy from 0.11.0 to 0.12.0

  • ipython from 0.13.1 to 0.13.2

  • matplotlib from 1.2.0 to 1.2.1

  • conda from 1.4.4 to 1.5.2

  • numba from 0.7.0 to 0.8.1

  • pandas from 0.10.1 to 0.11.0

  • requests from 0.13.9 to 1.2.0

  • scikit-learn from 0.13 to 0.13.1

  • spyder from 2.1.13 to 2.2.0

  • sympy from 0.7.1 to 0.7.2

Removed (from installer only, still available with conda):

  • bitey

  • gdata (conflicts with atom (which is required by enaml))

  • googlecl (requires gdata)

Anaconda 1.4.0 (Mar 12, 2013)#

Many more packages are now supported on Python 3.3. In addition, we have added Python 3 support on Windows, such that now Python 2.6, 2.7 and 3.3 is supported across all platforms. In addition, we have redesigned the Windows installer, which was suffering from a number of problems, in particular the lack of uninstall functionality and the GUI not working on some systems.

updated:

  • conda from 1.3.5 to 1.4.2

  • numba from 0.6.0 to 0.7.0

  • numpy from 1.7rc1 to 1.7.0

  • scikit-image from 0.7.1 to 0.8.2

fixed:

  • pytables on Windows

other notes:

  • Linux: a ATLAS package is now available (conda install atlas). In addition the site.cfg in the numpy.distutils has been updated, such that other packages (e.g. scipy) which use the atlas build configuration can be build against the (non-MKL linked) numpy in Anaconda.

Anaconda 1.3.1 (Feb 06, 2013)#

added:

  • Python 2.6 support for iopro, numba and numbapro

  • Python 2.6 support on Windows (Python 2.6 is now supported on all platforms)

  • added pythonw (the command to run Python GUI applications) on macOS

  • added chaco on Windows

updates:

  • conda from 1.3.2 to 1.3.5

  • numba from 0.5.0 to 0.6.0

Anaconda 1.3.0 (Jan 23, 2013)#

fixes:

  • fixed missing Grammar.txt in Sphinx

  • recompiled llvm and llvmpy using gcc 4.4.6 on Linux, this fixes a problem with the mandel.py example in numba

  • made Windows installer dialog box resizeable

  • fixed problem that importing numbapro or iopro removed sys from the namespace

updates:

  • numba from 0.3.2 to 0.5.0

  • conda from 1.2.1 to 1.3.0

  • pandas from 0.9.0 to 0.10.1

  • spyder form 2.1.11 to 2.1.13

  • numpy from 1.7.0b2 to 1.7.0rc1

  • scikit-learn from 0.11 to 0.12.1

  • scikits-image from 0.6.1 to 0.7.1

  • pytest from 2.3.3 to 2.3.4

Anaconda 1.2.1 (Nov 21, 2012)#

  • pucurl on macOS

  • anaconda-launcher envs by updating to conda 1.2.1

  • add missing pyodbc numpy_tests in iopro/tests/pyodbc

  • updated wiseRF to version 1.1

  • add creation of .continuum directory (if not created yet) on Windows

  • minor fixes in numba, numbapro, and iopro

  • fixed version of “py” package

  • add missing Windows manifest to Windows executable installer

  • fixed Windows Menu install and making Anaconda the default Python

  • on 2012-12-06 we released a 32-bit Linux version

Anaconda 1.2.0 (Nov 13, 2012)#

  • performance and feature enhancements to Numba Pro

  • performance and feature enhancements to IOPro

  • improved conda command (package management)

  • added Qt to the Linux Version (Qt is now on all platforms)

  • added MDP, NLTK and py, pytest

  • update matplotlib from 1.1.1 to 1.2.0

  • update h5py from 2.0.1 to 2.1.0

  • update IOPro to 1.2.1

  • update libpng to 1.5.13

Anaconda 1.1.0 (Oct 05, 2012)#

  • add GUI to Windows installer

  • IDE Spyder (Qt) for Mac Version

  • add conda 1.0

  • update llvmpy to 0.8.3

  • add MinGW on Windows

Anaconda 1.0.0 (Sep 06, 2012)#

  • add Windows support

  • installer can now install into different locations

  • enable building free and permium version

  • enable termcap in erlang

  • add MKL support to permium version

  • add networkx, pysal, pycurl, gevent_zeromq, requests, pip, distribute

  • add iopro to permium version

  • update scipy from 0.11.0b1 to 0.11.0rc2

  • update scikits-image form 0.6 to 0.6.1

  • update pytables from 2.4.0b1 to 2.4.0

  • update pandas from 0.8.0 to 0.8.1

  • add patch to disco to always use the anaconda erl

  • remove useless files (Python) from being installed

Anaconda 0.9.0 (Aug 21, 2012)#

  • add macOS (x86_64 10.5 or higher) support

  • add bitey and other packages

  • update several other packages

Anaconda 0.8.3 (Jul 18, 2012)#

  • update changes to etc/init.d/disco script

  • add patch, fixes disco and ddfs listdir misfeature

  • add –packages option to anaconda command

  • add missing h5py

  • improve ease of testing

Anaconda 0.8.2 (Jul 18, 2012)#

  • fixed theano.sparse

  • removed (broken) scikits namespace

  • add disco config and setup files

  • add anaconda command, for version information

Anaconda 0.8.1 (Jul 17, 2012)#

  • fixed libm.so ctypes error in scipy tests

  • added import tests to all C extension modules

  • fixed lzo support in pytables

Anaconda 0.8.0 (Jul 17, 2012)#

  • initial release