giotto-ai/giotto-tda

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1002 stars · 201 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

giotto-tda is a high-performance Python toolbox for topological machine learning, built on top of scikit-learn. It provides tools for topological data analysis such as persistent homology and the Mapper algorithm, exposed as scikit-learn-compatible transformers.

Use cases

• compute persistent homology of point clouds and time series
• run the Mapper algorithm on high-dimensional data
• build scikit-learn pipelines with topological features
• extract topological features for machine learning models
• visualize persistence diagrams and Mapper graphs
• apply topological data analysis in Python

When to choose

• you need TDA tools that integrate with scikit-learn pipelines
• you want persistent homology or Mapper with a high-performance Python implementation
• you need topological feature extraction for ML workflows

When to avoid

• you need a permissively licensed library (it is AGPLv3)
• you need general-purpose machine learning without topological methods
• you require frequent updates or support for the latest Python versions

Facets

library · maturity maintenance

machine-learning data-science data-visualization machine-learning data-science python cross-platform topological-data-analysis persistent-homology mapper scikit-learn tda computational-topology algorithms

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markdown · JSON · MCP: product_card(name="giotto-ai/giotto-tda")