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The official Python API library for Openlayer: the Testing and Debugging Platform for AI

Project description


Openlayer | Python API Library

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What is it?

Openlayer is a debugging workspace for ML & Data Science. Openlayer combines and builds upon SOTA techniques in explainability, model and dataset versioning, synthetic data generation, data-centric testing and much more to form a powerful, unified platform for model development.

👉 Join our Slack community! We'd love to meet you and help you get started with Openlayer!

This is the official Python library for interacting with the Openlayer platform. Navigate here for a quickstart guide and for in-depth tutorials.

Main Features

This library's primary function is to enable you to easily package your models and datasets and add them to your Openlayer account.

Installation

Install with PyPI (pip)

pip install --upgrade openlayer

or install with Anaconda (conda)

conda install openlayer --channel conda-forge

Documentation

The official documentation for this Python library can be found here.

Contributing

All contributions, bug reports, bug fixes, documentation improvements, enhancements, and ideas are welcome! Just send us a message on Slack.

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