Python responsible-ai

Open-source Python projects categorized as responsible-ai

Top 7 Python responsible-ai Projects

  • fairlearn

    A Python package to assess and improve fairness of machine learning models.

  • Project mention: Fairlearn | news.ycombinator.com | 2023-05-31
  • DALEX

    moDel Agnostic Language for Exploration and eXplanation

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

    WorkOS logo
  • PyRIT

    The Python Risk Identification Tool for generative AI (PyRIT) is an open access automation framework to empower security professionals and machine learning engineers to proactively find risks in their generative AI systems. (by Azure)

  • Project mention: FLaNK 04 March 2024 | dev.to | 2024-03-04
  • langtest

    Deliver safe & effective language models

  • Project mention: LangTest: Deliver Safe & Effective Language Models | /r/Python | 2023-11-04
  • model-card-toolkit

    A toolkit that streamlines and automates the generation of model cards

  • EthicML

    Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency

  • verifyml

    Open-source toolkit to help companies implement responsible AI workflows.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Index

What are some of the best open-source responsible-ai projects in Python? This list will help you:

Project Stars
1 fairlearn 1,792
2 DALEX 1,318
3 PyRIT 1,249
4 langtest 456
5 model-card-toolkit 402
6 EthicML 24
7 verifyml 22

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