Skip to main content

scikit-ci enables a centralized and simpler CI configuration for Python extensions.

Project description

Documentation Status https://ci.appveyor.com/api/projects/status/5to6lvgaqcrck675?svg=true https://circleci.com/gh/scikit-build/scikit-ci/tree/master.svg?style=svg https://img.shields.io/travis/scikit-build/scikit-ci.svg?maxAge=2592000 https://codecov.io/gh/scikit-build/scikit-ci/branch/master/graph/badge.svg

scikit-ci enables a centralized and simpler CI configuration for Python extensions.

By having appveyor.yml, circle.yml and .travis.yml calling the same scikit-ci command-line executable, all the CI steps for all service can be fully described in one scikit-ci.yml file.

History

scikit-ci was initially developed in May 2016 by Omar Padron to facilitate the continuous integration of the scikit-build project.

At that time, it already consisted of a driver script calling methods specific to each continuous integration service. By having each CI service calling the same driver script, there was no need to deal with implementing install/test/build steps over and over in different scripting languages (power shell, shell or windows batch). Instead all code was implemented in python code leveraging the subprocess module.

Later in early September 2016, with the desire to setup cross-platform continuous integration for other project and avoid duplication or maintenance hell, a dedicated repository was created by Jean-Christophe Fillion-Robin. By simply cloning the repository, it was possible to more easily enable CI for other projects.

While this was an improvement, all the steps were still hardcoded in the driver scripts, the project was not easily customizable. More could be done to improve the user experience.

Finally, in late September 2016, all hardcoded code was moved into standalone executable python scripts. Then, Jean-Christophe came up with the concept of scikit-ci.yml configuration file. This configuration file allows to describe the commands and environment for each step (install, test and build) specific to a project and associated continuous integration services.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

scikit-ci-0.11.0.tar.gz (51.9 kB view details)

Uploaded Source

Built Distribution

scikit_ci-0.11.0-py2.py3-none-any.whl (13.4 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file scikit-ci-0.11.0.tar.gz.

File metadata

  • Download URL: scikit-ci-0.11.0.tar.gz
  • Upload date:
  • Size: 51.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for scikit-ci-0.11.0.tar.gz
Algorithm Hash digest
SHA256 68bd3622b0545f00016b1640b13d297d115aefc56352b07e393c52db8e15de61
MD5 085e4f4e3e83ed0383bb607b784b6b1b
BLAKE2b-256 255f27e95c72fa8bddc70035e32154881e1deaacc4780179ae18fce4f7580196

See more details on using hashes here.

Provenance

File details

Details for the file scikit_ci-0.11.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for scikit_ci-0.11.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 68759d2f18169c81b1a7b90849ca7282b88b5154229c9711d5a1e360bacf741b
MD5 2abb3f079c44fdfef8abdf530af448d9
BLAKE2b-256 d015dbf0b06390320878330a6bc77110315c1aa2037462c7ae4a7704a19e3b83

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page