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About cctbx-base-feedstock

Feedstock license: BSD-3-Clause

Home: https://github.com/cctbx/cctbx_project

Package license: BSD-3-Clause-LBNL AND BSD-3-Clause AND BSL-1.0 AND LGPL-2.0-only AND LGPL-2.1-only AND LGPL-3.0-only AND MIT AND LGPL-2.0-or-later WITH WxWindows-exception-3.1

Summary: The Computational Crystallography Toolbox

Development: https://github.com/cctbx/cctbx_project

Documentation: https://cctbx.github.io/

The Computational Crystallography Toolbox (cctbx) is being developed as the open source component of the Phenix system. The goal of the Phenix project is to advance automation of macromolecular structure determination. Phenix depends on the cctbx, but not vice versa. This hierarchical approach enforces a clean design as a reusable library. The cctbx is therefore also useful for small-molecule crystallography and even general scientific applications.

Current build status

Azure
VariantStatus
linux_64_numpy2.0python3.10.____cpython variant
linux_64_numpy2.0python3.11.____cpython variant
linux_64_numpy2.0python3.12.____cpython variant
linux_64_numpy2.0python3.9.____cpython variant
linux_64_numpy2python3.13.____cp313 variant
linux_aarch64_numpy2.0python3.10.____cpython variant
linux_aarch64_numpy2.0python3.11.____cpython variant
linux_aarch64_numpy2.0python3.12.____cpython variant
linux_aarch64_numpy2.0python3.9.____cpython variant
linux_aarch64_numpy2python3.13.____cp313 variant
linux_ppc64le_numpy2.0python3.10.____cpython variant
linux_ppc64le_numpy2.0python3.11.____cpython variant
linux_ppc64le_numpy2.0python3.12.____cpython variant
linux_ppc64le_numpy2.0python3.9.____cpython variant
linux_ppc64le_numpy2python3.13.____cp313 variant
osx_64_numpy2.0python3.10.____cpython variant
osx_64_numpy2.0python3.11.____cpython variant
osx_64_numpy2.0python3.12.____cpython variant
osx_64_numpy2.0python3.9.____cpython variant
osx_64_numpy2python3.13.____cp313 variant
osx_arm64_numpy2.0python3.10.____cpython variant
osx_arm64_numpy2.0python3.11.____cpython variant
osx_arm64_numpy2.0python3.12.____cpython variant
osx_arm64_numpy2.0python3.9.____cpython variant
osx_arm64_numpy2python3.13.____cp313 variant
win_64_numpy2.0python3.10.____cpython variant
win_64_numpy2.0python3.11.____cpython variant
win_64_numpy2.0python3.12.____cpython variant
win_64_numpy2.0python3.9.____cpython variant
win_64_numpy2python3.13.____cp313 variant

Current release info

Name Downloads Version Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms
Conda Recipe Conda Downloads Conda Version Conda Platforms

Installing cctbx-base

Installing cctbx-base from the conda-forge channel can be achieved by adding conda-forge to your channels with:

conda config --add channels conda-forge
conda config --set channel_priority strict

Once the conda-forge channel has been enabled, cctbx, cctbx-base can be installed with conda:

conda install cctbx cctbx-base

or with mamba:

mamba install cctbx cctbx-base

It is possible to list all of the versions of cctbx available on your platform with conda:

conda search cctbx --channel conda-forge

or with mamba:

mamba search cctbx --channel conda-forge

Alternatively, mamba repoquery may provide more information:

# Search all versions available on your platform:
mamba repoquery search cctbx --channel conda-forge

# List packages depending on `cctbx`:
mamba repoquery whoneeds cctbx --channel conda-forge

# List dependencies of `cctbx`:
mamba repoquery depends cctbx --channel conda-forge

About conda-forge

Powered by NumFOCUS

conda-forge is a community-led conda channel of installable packages. In order to provide high-quality builds, the process has been automated into the conda-forge GitHub organization. The conda-forge organization contains one repository for each of the installable packages. Such a repository is known as a feedstock.

A feedstock is made up of a conda recipe (the instructions on what and how to build the package) and the necessary configurations for automatic building using freely available continuous integration services. Thanks to the awesome service provided by Azure, GitHub, CircleCI, AppVeyor, Drone, and TravisCI it is possible to build and upload installable packages to the conda-forge anaconda.org channel for Linux, Windows and OSX respectively.

To manage the continuous integration and simplify feedstock maintenance conda-smithy has been developed. Using the conda-forge.yml within this repository, it is possible to re-render all of this feedstock's supporting files (e.g. the CI configuration files) with conda smithy rerender.

For more information please check the conda-forge documentation.

Terminology

feedstock - the conda recipe (raw material), supporting scripts and CI configuration.

conda-smithy - the tool which helps orchestrate the feedstock. Its primary use is in the construction of the CI .yml files and simplify the management of many feedstocks.

conda-forge - the place where the feedstock and smithy live and work to produce the finished article (built conda distributions)

Updating cctbx-base-feedstock

If you would like to improve the cctbx-base recipe or build a new package version, please fork this repository and submit a PR. Upon submission, your changes will be run on the appropriate platforms to give the reviewer an opportunity to confirm that the changes result in a successful build. Once merged, the recipe will be re-built and uploaded automatically to the conda-forge channel, whereupon the built conda packages will be available for everybody to install and use from the conda-forge channel. Note that all branches in the conda-forge/cctbx-base-feedstock are immediately built and any created packages are uploaded, so PRs should be based on branches in forks and branches in the main repository should only be used to build distinct package versions.

In order to produce a uniquely identifiable distribution:

  • If the version of a package is not being increased, please add or increase the build/number.
  • If the version of a package is being increased, please remember to return the build/number back to 0.

Feedstock Maintainers