responsible-ai-toolbox VS EthicML

Compare responsible-ai-toolbox vs EthicML and see what are their differences.

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. (by microsoft)
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responsible-ai-toolbox EthicML
2 1
1,208 24
6.1% -
9.6 9.3
12 days ago about 11 hours ago
TypeScript Python
MIT License GNU General Public License v3.0 only
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.

responsible-ai-toolbox

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

EthicML

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

What are some alternatives?

When comparing responsible-ai-toolbox and EthicML you can also consider the following projects:

DALEX - moDel Agnostic Language for Exploration and eXplanation

CARLA - CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

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]

awesome-shapley-value - Reading list for "The Shapley Value in Machine Learning" (JCAI 2022)

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

jupyter-annotate - Interactive Text Annotation for Jupyter Notebook/Lab

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

simple-data-analysis - Easy-to-use JavaScript library for most common data analysis tasks. [Moved to: https://github.com/nshiab/simple-data-analysis.js]

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

cumulocity-app-builder - The Application Builder for Cumulocity provides a simple, coding-free way to create new applications inside Cumulocity. Application Builder is an open-source tool for you to create web applications in a no-code environment. Created by Global Presales.

AIF360 - A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.