EthicML VS AIF360

Compare EthicML vs AIF360 and see what are their differences.

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EthicML AIF360
1 6
24 2,281
- 1.8%
9.3 7.3
4 days ago 9 days ago
Python Python
GNU General Public License v3.0 only Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

EthicML

Posts with mentions or reviews of EthicML. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning EthicML yet.
Tracking mentions began in Dec 2020.

AIF360

Posts with mentions or reviews of AIF360. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-10.

What are some alternatives?

When comparing EthicML and AIF360 you can also consider the following projects:

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

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

AIX360 - Interpretability and explainability of data and machine learning models

thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

interpret - Fit interpretable models. Explain blackbox machine learning.

model-card-toolkit - A toolkit that streamlines and automates the generation of model cards

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

responsible-ai-toolbox - Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

DALEX - moDel Agnostic Language for Exploration and eXplanation

clai - Command Line Artificial Intelligence or CLAI is an open-sourced project from IBM Research aimed to bring the power of AI to the command line interface.

Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]

pygod - A Python Library for Graph Outlier Detection (Anomaly Detection)