Metadata-Version: 2.1
Name: kolena-client
Version: 0.79.1
Summary: Client for Kolena's machine learning testing platform.
Home-page: https://kolena.io
License: Apache-2.0
Keywords: Kolena,ML,testing
Author: Kolena Engineering
Author-email: eng@kolena.io
Requires-Python: >=3.7.1,<3.12
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Quality Assurance
Classifier: Topic :: Software Development :: Testing
Classifier: Typing :: Typed
Provides-Extra: metrics
Requires-Dist: Pillow (>=9.1.1,<10.0.0)
Requires-Dist: Shapely (>=1.8.5,<2.0.0)
Requires-Dist: click (>=8.1.3,<9.0.0)
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Requires-Dist: pydantic (>=1.8,<2)
Requires-Dist: requests (>=2.20,<2.30)
Requires-Dist: requests-toolbelt
Requires-Dist: retrying (>=1.3.3,<2.0.0)
Requires-Dist: scikit-learn (>=1.0,<1.0.3) ; (python_full_version >= "3.7.1" and python_version < "3.8") and (extra == "metrics")
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Requires-Dist: tqdm (>=4,<5)
Requires-Dist: typing-extensions (>=4.5.0,<5.0.0) ; python_version < "3.8"
Project-URL: Documentation, https://docs.kolena.io
Description-Content-Type: text/markdown

<p align="center">
  <img src="https://docs.kolena.io/assets/images/kolena-banner.png" width="640" alt="Kolena" />
</p>

<p align='center'>
  <a href="https://pypi.python.org/pypi/kolena"><img src="https://img.shields.io/pypi/v/kolena?logo=python&logoColor=white&style=flat-square" /></a>
  <a href="https://www.apache.org/licenses/LICENSE-2.0"><img src="https://img.shields.io/pypi/l/kolena?style=flat-square" /></a>
  <a href="https://github.com/kolenaIO/kolena/actions"><img src="https://img.shields.io/github/checks-status/kolenaIO/kolena/trunk?logo=circleci&logoColor=white&style=flat-square" /></a>
  <a href="https://codecov.io/gh/kolenaIO/kolena" ><img src="https://img.shields.io/codecov/c/github/kolenaIO/kolena?logo=codecov&logoColor=white&style=flat-square&token=8WOY5I8SF1" /></a>
</p>

---

[Kolena](https://www.kolena.io) is a comprehensive machine learning testing and debugging platform to surface hidden
model behaviors and take the mystery out of model development. Kolena helps you:

- Perform high-resolution model evaluation
- Understand and track behavioral improvements and regressions
- Meaningfully communicate model capabilities
- Automate model testing and deployment workflows

This `kolena` package contains the Python client library for programmatic interaction with the Kolena ML testing
platform. [Install](https://docs.kolena.io/installing-kolena) with your favorite Python package manager and
[get started in minutes](https://docs.kolena.io/quickstart):

```
pip install kolena
```

## Quick Links

| [Developer Guide](https://docs.kolena.io) | [Quickstart](https://docs.kolena.io/quickstart) | [API Reference](https://docs.kolena.io/reference) | [Examples](./examples) |
| --- | --- | --- | --- |
| Tutorial and usage documentation | Set up rigorous and repeatable model testing in minutes | Detailed `kolena` typing and function documentation | Reference integrations for different machine learning workflows |

