This repo is a holding area for recipes destined for a conda-forge feedstock repo. To find out more about conda-forge, see https://github.com/conda-forge/conda-smithy.
- Fork this repository.
- Make a new folder in
recipesfor your package. Look at the example recipe and our FAQ for help.
- Open a pull request. Building of your package will be tested on Windows, Mac and Linux.
- When your pull request is merged a new repository, called a feedstock, will be created in the github conda-forge organization, and build/upload of your package will automatically be triggered. Once complete, the package is available on conda-forge.
1. How do I start editing the recipe?
There are two ways to get started:
a. If it is a python package you can generate a skeleton as a starting point with
conda skeleton pypi your_package_name. You do not have to use skeleton, and the
recipes produced by skeleton will need to be edited.
b. Look at one of these examples in this repository and modify it as necessary.
Your final recipe should have no comments and follow the order in the example.
If there are details you are not sure about please open a pull request. The conda-forge team will be happy to answer your questions.
2. How do I populate the
If your package is on PyPI, you can get the md5 hash from your package's page on PyPI; look for the
md5 link next to the download link for your package.
You can also generate a hash from the command line on Linux (and Mac if you install the necessary tools below). If you go this route, the
sha256 hash is preferable to the
To generate the
To generate the
openssl sha256 your_sdist.tar.gz
You may need the openssl package, available on conda-forge
conda install openssl -c conda-forge
3. How do I exclude a platform?
skip key in the
build section along with a selector:
build: skip: true # [win]
A full description of selectors is in the conda docs.
4. What does
numpy x.x mean?
If you have a package which links against numpy you need to build and run against the same version of numpy.
numpy x.x in the build and run requirements ensure that a separate package will be built for each
version of numpy that conda-forge builds against.
5. What does the
build: 0 entry mean?
The build number is used when the source code for the package has not changed but you need to make a new build. For example, if one of the dependencies of the package was not properly specified the first time you build a package, then when you fix the dependency and rebuild the package you should increase the build number.
When the package version changes you should reset the build number to
6. Do I have to import all of my unit tests into the recipe's
No, you do not.
7. Do all of my package's dependencies have to be in conda(-forge) already?
Short answer: yes. Long answer: In principle, as long as your dependencies are in at least one of your user's conda channels they will be able to install your package. In practice, that is difficult to manage, and we strive to get all dependencies built in conda-forge.
8. When or why do I need to use
python setup.py install --single-version-externally-managed --record record.txt?
These options should be added to setup.py if your project uses setuptools. The goal is to prevent
setuptools from creating an
egg-info directory because they do not interact well with conda.
9. Do I need
In many cases, no. Python packages almost never need it. If the build can be done with one line you can put it in the
script line of the
10. What does being a conda-forge feedstock maintainer entail?
The maintainers "job" is to:
- keep the feedstock updated by merging eventual maintenance PRs from conda-forge's bots;
- keep the package updated by bumping the version whenever there is a new release;
- answer eventual question about the package on the feedstock issue tracker.
11. Why are there recipes already in the
recipes directory? Should I do something about it?
When a PR of recipe(s) is ready to go, it is merged into
master. This will trigger a CI build specially designed to convert the recipe(s). However, for any number of reasons the recipe(s) may not be converted right away. In the interim, the recipe(s) will remain in
master until they can be converted. There is no action required on the part of recipe contributors to resolve this. Also it should have no impact on any other PRs being proposed. If these recipe(s) pending conversion do cause issues for your submission, please ping
conda-forge/core for help.