Metadata-Version: 2.1
Name: kolena-client
Version: 1.7.0
Summary: Client for Kolena's machine learning testing platform.
Home-page: https://kolena.com
License: Apache-2.0
Keywords: Kolena,ML,testing
Author: Kolena Engineering
Author-email: eng@kolena.com
Requires-Python: >=3.8,<3.13
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 (>=10.0.1,<11.0.0)
Requires-Dist: Shapely (>=1.8.5,<3)
Requires-Dist: click (>=8)
Requires-Dist: dacite (>=1.6,<2)
Requires-Dist: numpy (>=1.19) ; python_version >= "3.8" and python_version < "3.11"
Requires-Dist: numpy (>=1.23) ; python_version >= "3.11" and python_version < "3.12"
Requires-Dist: numpy (>=1.26) ; python_version >= "3.12"
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Requires-Dist: pandas (>=1.5,<1.6) ; python_version >= "3.11" and python_version < "3.12"
Requires-Dist: pandas (>=2.1.1,<3) ; python_version >= "3.12"
Requires-Dist: pandera (>=0.9.0,<0.16)
Requires-Dist: pyarrow (>=8)
Requires-Dist: pydantic (>=2,<3)
Requires-Dist: requests (>=2.20,<3)
Requires-Dist: requests-toolbelt
Requires-Dist: retrying (>=1.3.3,<2.0.0)
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Requires-Dist: scipy (>=1.12,<2) ; (python_version >= "3.12") and (extra == "metrics")
Requires-Dist: termcolor (>=1.1.0,<2.0.0)
Requires-Dist: tqdm (>=4,<5)
Project-URL: Documentation, https://docs.kolena.com
Description-Content-Type: text/markdown

<p align="center">
  <a href="https://docs.kolena.com">
    <img src="https://docs.kolena.com/assets/images/kolena-banner.png" width="640" alt="Kolena" />
  </a>
</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.com) 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.com/installing-kolena) with your favorite Python package manager and
[get started in minutes](https://docs.kolena.com/dataset/quickstart):

```
pip install kolena
```

## Quick Links

| [Developer Guide](https://docs.kolena.com) | [Quickstart](https://docs.kolena.com/dataset/quickstart) | [API Reference](https://docs.kolena.com/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 |

