PiML-Toolbox

Repository facts

Stars

1,286

Forks

135

Open issues and pull requests

19

Primary language

Jupyter Notebook

License

Apache License 2.0 (Apache-2.0)

Owner

SelfExplainML · Organization

Created

Apr 29, 2022

Last push

Mar 30, 2025

Topics

• interpretable-machine-learning
• low-code
• ml-workflow
• model-diagnostics

Rank #5,125 of 9,507 in AI on GitHub, by stars. Data from the GitHub API, fetched Oct 18, 2026; star counts change daily. Stars measure popularity, not quality or safety, and a listing is not an endorsement. How this list is made

Related projects

Projects that share this one’s GitHub topics.

• 7,876

  Rank 7,876: jphall663/interpretable_machine_learning_with_python

  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

  681 starsJupyter NotebookNo license file detectedLast push Jun 17, 2024

• 1,165

  Rank 1,165: interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  6,962 starsC++MITLast push Oct 18, 2026

• 4,535

  Rank 4,535: interpretml/DiCE

  Generate Diverse Counterfactual Explanations for any machine learning model.

  1,530 starsPythonMITLast push Jul 13, 2025

• 7,155

  Rank 7,155: mmschlk/shapiq

  Shapley Interactions and Shapley Values for Machine Learning

  789 starsPythonMITLast push Oct 16, 2026

• 8

  Rank 8: n8n-io/n8n

  Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

  207,894 starsTypeScriptOther licenseLast push Oct 18, 2026

• 17

  Rank 17: langgenius/dify

  Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to p…

  158,787 starsPythonOther licenseLast push Oct 18, 2026