Metadata-Version: 2.4
Name: scfit
Version: 0.0.4
Summary: Component registry + annbatch-native streaming data
Project-URL: Documentation, https://scfit.readthedocs.io/
Project-URL: Homepage, https://github.com/theislab/scfit
Project-URL: Source, https://github.com/theislab/scfit
Author: Selman Ozleyen
Maintainer-email: Selman Ozleyen <syozleyen@gmail.com>
License: MIT License
        
        Copyright (c) 2026, Selman Ozleyen
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
        LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
License-File: LICENSE
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Requires-Python: >=3.12
Requires-Dist: annbatch==0.2.1
Requires-Dist: anndata>=0.13
Requires-Dist: cattrs
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: scipy
Requires-Dist: session-info2
Requires-Dist: zarrs>=0.2.1
Provides-Extra: cuda12
Requires-Dist: cupy-cuda12x; (sys_platform == 'linux') and extra == 'cuda12'
Provides-Extra: torch
Requires-Dist: torch>=2; extra == 'torch'
Description-Content-Type: text/markdown

# scfit

[![Tests][badge-tests]][tests]
[![Documentation][badge-docs]][documentation]

[badge-tests]: https://img.shields.io/github/actions/workflow/status/selmanozleyen/scfit/test.yaml?branch=main
[badge-docs]: https://app.readthedocs.org/projects/scfit/badge/

Training models with native annbatch wiring

## Getting started

Please refer to the [documentation][],
in particular, the [API documentation][].

## Installation

You need to have Python 3.12 or newer installed on your system.
If you don't have Python installed, we recommend installing [uv][].

We recommend managing dependencies in project-specific virtual environments to avoid dependency conflicts.
This is most convenient using package managers such as [uv][].
Choose from the options below to install scfit:

<!--
1. Add the latest release of `scfit` from [PyPI][] to your `uv` project:

   ```bash
   uv add scfit
   ```

1. Install the latest release into a [standard virtual environment][venv]:

   ```bash
   (after activating your venv)
   pip install scfit
   ```

-->

1. Install the latest development version:

   ```bash
   pip install git+https://github.com/selmanozleyen/scfit.git  # (or `uv add`)
   ```

## Release notes

See the [changelog][].

## Contact

For questions and help requests, you can reach out in the [scverse discourse][].
If you found a bug, please use the [issue tracker][].

## Citation

> t.b.a

[uv]: https://github.com/astral-sh/uv
[scverse discourse]: https://discourse.scverse.org/
[issue tracker]: https://github.com/selmanozleyen/scfit/issues
[tests]: https://github.com/selmanozleyen/scfit/actions/workflows/test.yaml
[documentation]: https://scfit.readthedocs.io
[changelog]: https://scfit.readthedocs.io/page/changelog.html
[api documentation]: https://scfit.readthedocs.io/page/api.html
[pypi]: https://pypi.org/project/scfit
[venv]: https://docs.python.org/3/tutorial/venv.html
