Software

Run flow-based community detection with Infomap

Infomap detects communities by asking where flow is retained in a network. Use it from Python, R, the command line, or the browser for directed, weighted, multilayer, bipartite, and memory networks.

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Docs

API documentation

Looking for the Python API docs? Old Python documentation bookmarks may land on this Infomap overview. Use the API references below for Python and R workflows.

Python API

Installation, quick start, tutorial notebooks, usage patterns, and full API reference.

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R package

R package reference, binaries, manuals, exported functions, and build status on r-universe.

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Install

Choose your research workflow

Full install guide

pip install infomap

Recommended for most research workflows · Python 3.11+ · Windows / macOS / Linux wheels

Python API docs ↗

Get started

Use Infomap

Workbench

Try a small network first

Upload or paste a network and inspect the communities before installing.

Open workbench →

Install

Install for your workflow

Python, R, CLI, Docker, Homebrew, binaries, and TypeScript packages.

How to install →

Cite

Cite the method correctly

Copy citations for the software version and the map equation paper.

How to cite →

Learn

Documentation

Reference

Input & output formats

Prepare your network data and choose the output your analysis needs.

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In depth

How it works

Connect your research question to the flow model, map equation, and search algorithm.

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Got feedback?

Issues & discussions

Open an issue if you find a bug, or start a discussion if you need help modeling a network or interpreting an Infomap result.

GitHub ↗Issues ↗Discussions ↗Releases ↗Changelog ↗