https://github.com/jcfr/scipy_2018_scikit-build_talk
SciPy 2018 Talk | scikit-build: A Build System Generator for CPython C/C++/Fortran/Cython Extensions
https://github.com/jcfr/scipy_2018_scikit-build_talk
kitware-publication scikit-build scipy2018
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SciPy 2018 Talk | scikit-build: A Build System Generator for CPython C/C++/Fortran/Cython Extensions
- Host: GitHub
- URL: https://github.com/jcfr/scipy_2018_scikit-build_talk
- Owner: jcfr
- License: cc-by-sa-4.0
- Created: 2019-02-14T16:57:38.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2019-02-14T21:13:18.000Z (over 6 years ago)
- Last Synced: 2025-01-24T10:23:57.678Z (4 months ago)
- Topics: kitware-publication, scikit-build, scipy2018
- Homepage:
- Size: 725 KB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE_CC_BY_SA_40.md
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README
scikit-build
============
[](https://doi.org/10.5281/zenodo.2565367)
**scikit-build** is an improved build system generator for CPython C/C++/Fortran/Cython
extensions. It provides better support for additional compilers, build
systems, cross compilation, and locating dependencies and their associated
build requirements.
The **scikit-build** package is fundamentally just glue between
the `setuptools` Python module and [CMake](https://cmake.org/).
To get started, see http://scikit-build.readthedocs.io.
## scikit-build talk
This talk was presented at SciPy 2018 conference.
* slides: https://bit.ly/scikit-build-talk
* pdf: [scipy_2018_scikit-build_talk.pdf](scipy_2018_scikit-build_talk.pdf)
* video: https://www.youtube.com/watch?v=QVkg-cC5oe4
_For reference, all SciPy 2018 talks are available [here](https://github.com/deniederhut/Slides-SciPyConf-2018)_
## Licensing
All Works of Art in this repository are licensed under the Creative Commons Attribution Share Alike 4.0 International. See [LICENSE_CC_BY_SA_40](LICENSE_CC_BY_SA_40.md) file for details.
## SciPy 2018 submission details
### Authors
* Jean-Christophe Fillion-Robin1 ([@jcfr](https://github.com/jcfr))
* Matthew McCormick1 ([@thewtex](https://github.com/thewtex))
* Omar Padron1 ([@opadron](https://github.com/opadron))
* Max Smolens1 ([@msmolens](https://github.com/msmolens))
* Michael Grauer1 ([@mgrauer](https://github.com/mgrauer))
* Michael Sarahan2 ([@msarahan](https://github.com/msarahan))
1Kitware, Inc.
2Anaconda, Inc.
### Title
Scikit-build: A build system generator for CPython C/C++/Fortran/Cython extensions.
### Short description:
We present “Scikit-build”, an improved build system generator for CPython C/C++/Fortran/Cython extensions. It provides improved support for additional compilers, build systems, cross compilation, and locating dependencies and determining their build requirements over distutils/setuptools. We also describe how ITK and VTK C++ scientific libraries were updated to make use of scikit-build to ultimately be published as wheels.
### Keywords
* Build Tool
* CPython Extension
* Building
* Packaging
* Wheels
* Cross Platform
### Topics
* General
* Infrastructure
### Long description
Although the scientific packages NumPy, SciPy, SymEngine and Matplotlib can be used from Python today, since they bundle C, C++, Fortran or Cython extensions, successfully building the associated binary wheels is complex and prone to errors. This is a significant barrier to allow use of these packages on a broader set of platforms such as mobile, Raspberry Pi or HPC.
We present [scikit-build](https://pypi.org/project/scikit-build/), an improved build system generator for CPython C/C++/Fortran/Cython extensions that provides first-class support for additional compilers, build systems, cross compilation, and locating dependencies and their associated build requirements. The scikit-build package is fundamentally glue between the setuptools and [cmake](https://pypi.org/project/cmake/) Python packages that is used to facilitate the build process.
Initially developed during the SciPy sprints 2014, and later funded by the National Library Medicine in 2015, the scikit-build package is tested ([90% coverage](https://codecov.io/gh/scikit-build/scikit-build)) and available on [PyPI](https://pypi.org/project/scikit-build/) and [conda-forge](https://anaconda.org/conda-forge/scikit-build). It is also supported by core members of the Python Packaging Authority (PPA). In the future, the project aims to be a build tool option in the build system specification [PEP-518](https://www.python.org/dev/peps/pep-0518/).
In this talk, we will provide an overview of scikit-build, explain how it can be used to build simple CPython C, C++, Fortran and Cython extensions, and also describe how the build system of more complex C++ packages like the Visualization ToolKit (VTK) and the Insight Segmentation and Registration Toolkit (ITK) were updated to support generating wheels for multiple operating systems and python versions.
### Related links
* http://scikit-build.org/
* https://github.com/scikit-build/scikit-build