Metadata-Version: 2.1
Name: zenoml
Version: 0.0.6
Summary: Behavioral Evaluation Framework for Machine Learning
Home-page: https://dig.cmu.edu/zeno/
License: MIT
Keywords: ml,testing
Author: Ángel Alexander Cabrera
Author-email: alex.cabrera@gmail.com
Requires-Python: >=3.8,<3.11
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Requires-Dist: fastapi (>=0.75,<0.80)
Requires-Dist: pandas (>=1.4.0,<2.0.0)
Requires-Dist: pyarrow (>=7.0.0,<8.0.0)
Requires-Dist: tensorflow (>=2.9.0,<3.0.0)
Requires-Dist: tomli (>=2.0.1,<3.0.0)
Requires-Dist: tqdm (>=4.64.0,<5.0.0)
Requires-Dist: umap-learn (>=0.5.3,<0.6.0)
Requires-Dist: uvicorn (>=0.17.5,<0.19.0)
Requires-Dist: websockets (>=10.2,<11.0)
Project-URL: Repository, https://github.com/cmudig/zeno
Description-Content-Type: text/markdown

<img src="./frontend/public/zeno.png" width="400px"/>

[![PyPI version](https://badge.fury.io/py/zenoml.svg)](https://badge.fury.io/py/zenoml)
![Github Actions CI tests](https://github.com/cabreraalex/zeno/actions/workflows/test.yml/badge.svg)
![Github Actions Docs build](https://github.com/cabreraalex/zeno/actions/workflows/book.yml/badge.svg)
[![MIT license](https://img.shields.io/badge/License-MIT-blue.svg)](https://lbesson.mit-license.org/)

Zeno is a general-purpose framework for evaluating machine learning models.
It combines a **Python API** with an **interactive UI** to allow users to discover, explore, and analyze the performance of their models across diverse use cases.
Zeno can be used for any data type or task with _modular views_ for everything from object detection to audio transcription.

## Getting Started

Check out the quickstart tutorial and API reference to get started with Zeno:

- [Introduction](http://zenoml.com/docs/intro/) - Learn more about Zeno.
- [Getting Started](http://zenoml.com/docs/intro/get_started) - Setup Zeno with your own data and models.
- [CIFAR-10 Example](http://zenoml.com/docs/intro/cifar) - Learn how to use Zeno with a CIFAR-10 classification example.
- [Documentation & API](http://zenoml.com/docs/intro/) - Full documentation and API reference.

