#5656th of 56 in ML frameworks and libraries

gensim

Python library for topic modelling and document similarity on large corpora

Documentation ↗ Website ↗ Repository on GitHub ↗

Stars: 16.5k
License: LGPL-2.1
Last commit: Oct 2025
Last release: Oct 2025
Language: Python

Missed the latest GitHub check; these facts may be older.

Overview

Gensim implements streamed, out-of-core versions of LSA/LSI, LDA, Random Projections, HDP and word2vec, plus document indexing and similarity retrieval. Corpora are read through Python generators, so input can exceed RAM. Heavy computation goes through NumPy and BLAS. The project is in stable maintenance mode: bug and documentation fixes only, no new features.

Who it is for: NLP and IR practitioners doing topic modelling or similarity search

Strengths

Memory-independent streaming: processes corpora larger than RAM via generators
Multicore LSA, LDA, HDP, Random Projections and word2vec implementations
LSA and LDA can run distributed on a cluster of computers
Simple streaming and transformation APIs for custom corpora and algorithms

Weaknesses

Maintenance mode: no new features accepted
Classic topic models and word2vec only; no transformer or LLM tooling in the README
Speed depends on a fast BLAS; building NumPy from source is non-trivial
Python 2.7 support dropped after 3.8.3

What it needs

no GPU
Needs NumPy, BLAS (MKL, ATLAS or OpenBLAS recommended)
Models: LSA/LSI, LDA, HDP, Random Projections, word2vec

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How to choose

Pick the framework your target models and papers already use.
Check hardware support (CUDA, ROCm, Apple Silicon, TPU) for your machines.
Look at release cadence; a framework that stalls strands your code.

Health

Releases: Not checked
Top contributor: Not checked
Security advisories: Not checked
Package advisories: Not checked
OpenSSF Scorecard: Not checked

Not read for this project yet: each refresh reads the facts of a few projects. Bots and coding-agent accounts are left out of the commit counts. Not part of the score: how we check.

License in plain words

LGPL-2.1 Custom terms

Use it at work: Check
Change it and rebrand it: Check
Sell it or host it for others: Check

Your part: GitHub could not match these terms to a standard license. Read the license before you use it at work, rebrand it or host it for others.

A plain summary, not legal advice. Read the license on GitHub ↗ (opens in a new tab)

#56 of 56 in ML frameworks and libraries on Archestack, as of 15 Oct 2026.

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