https://github.com/cctbx/nightly-feedstock

A conda-smithy repository for nightly builds of cctbx

https://github.com/cctbx/nightly-feedstock

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
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  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

A conda-smithy repository for nightly builds of cctbx

Basic Info
  • Host: GitHub
  • Owner: cctbx
  • License: bsd-3-clause
  • Language: Python
  • Default Branch: main
  • Size: 801 KB
Statistics
  • Stars: 0
  • Watchers: 10
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 5 years ago · Last pushed 10 months ago
Metadata Files
Readme License Codeowners

README.md

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_python3.10.____cpython variant
linux_64_python3.11.____cpython variant
linux_64_python3.12.____cpython variant
linux_64_python3.13.____cp313 variant
linux_64_python3.9.____cpython variant
linux_aarch64_python3.10.____cpython variant
linux_aarch64_python3.11.____cpython variant
linux_aarch64_python3.12.____cpython variant
linux_aarch64_python3.13.____cp313 variant
linux_aarch64_python3.9.____cpython variant
linux_ppc64le_python3.10.____cpython variant
linux_ppc64le_python3.11.____cpython variant
linux_ppc64le_python3.12.____cpython variant
linux_ppc64le_python3.13.____cp313 variant
linux_ppc64le_python3.9.____cpython variant
osx_64_python3.10.____cpython variant
osx_64_python3.11.____cpython variant
osx_64_python3.12.____cpython variant
osx_64_python3.13.____cp313 variant
osx_64_python3.9.____cpython variant
osx_arm64_python3.10.____cpython variant
osx_arm64_python3.11.____cpython variant
osx_arm64_python3.12.____cpython variant
osx_arm64_python3.13.____cp313 variant
osx_arm64_python3.9.____cpython variant
win_64_python3.10.____cpython variant
win_64_python3.11.____cpython variant
win_64_python3.12.____cpython variant
win_64_python3.13.____cp313 variant
win_64_python3.9.____cpython 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 cctbx-nightly channel can be achieved by adding cctbx-nightly to your channels with:

conda config --add channels cctbx-nightly conda config --set channel_priority strict

Once the cctbx-nightly 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 cctbx-nightly

or with mamba:

mamba search cctbx --channel cctbx-nightly

Alternatively, mamba repoquery may provide more information:

```

Search all versions available on your platform:

mamba repoquery search cctbx --channel cctbx-nightly

List packages depending on cctbx:

mamba repoquery whoneeds cctbx --channel cctbx-nightly

List dependencies of cctbx:

mamba repoquery depends cctbx --channel cctbx-nightly ```

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 cctbx-nightly channel, whereupon the built conda packages will be available for everybody to install and use from the cctbx-nightly channel. Note that all branches in the cctbx/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

Owner

  • Name: Computational Crystallography Toolbox
  • Login: cctbx
  • Kind: organization

GitHub Events

Total
  • Push event: 230
Last Year
  • Push event: 230

Dependencies

.github/workflows/automerge.yml actions
  • actions/checkout v3 composite
  • conda-forge/automerge-action main composite
.github/workflows/webservices.yml actions
  • conda-forge/webservices-dispatch-action main composite
recipe/yum_requirements.txt pypi
  • libXdamage *
  • libXext *
  • libXxf86vm *
  • libselinux *
  • mesa-dri-drivers *
  • mesa-libGL *