Home/Data & Retrieval/magnitude

magnitude

plasticityai/magnitude

A fast, efficient universal vector embedding utility package.

GitHub

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

30views this month

1.7k stars123 forksLast push Aug 3, 2023 Python MIT

Decision brief

Magnitude is a Python library for handling vector embeddings efficiently and quickly. It integrates with several popular embedding methods.

Good fit when

- When you need to perform memory-efficient operations on vector embeddings, including those from FastText or Word2Vec.
- For projects where you require direct integration with libraries like Gensim, without the need for additional middleware.

Avoid when

- If your project involves non-Python ecosystems, as Magnitude is strictly a Python library and thus not compatible with other programming environments.
- When the primary focus of your work does not include handling large vector embeddings or specific operations that benefit from memory efficiency provided by Magnitude.

Observed Jul 11, 2026 · Source: enrich:decision_facts

magnitude alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Dormant (1144d since push); As of Sep 20, 2026
Provenance: Not a fork · Organization account; As of Sep 20, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install magnitude

PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

firecrawl

The web data API to search, scrape, and interact at scale.

182k★

dify

Build Agentic workflows and RAG pipelines with rich AI model and tool support on one collaborative workspace.

156k★

awesome-llm-apps

Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.

136k★

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Magnitude is a Python library focused on providing fast and memory-efficient operations for vector embeddings, including integration with popular methods like FastText, Gensim, GloVe, and Word2Vec. It aims to streamline natural language processing tasks by offering optimized handling of word embeddings.

Capability facts

Languages: python
Source: github.language · Sep 20, 2026

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

```python pip install pymagnitude # Python 2.7

Source link

README

Installation You can install this package with : Google Colaboratory has some dependency issues with installing Magnitude due to conflicting dependencies. You can use the following snippet to install Magnitude on Google Colaboratory: LICENSE and Attribution This repository is lic...

For agents

This page has a .md twin and JSON over the API.

/tools/plasticityai-magnitude.md GET /api/graphcanon/tools/plasticityai-magnitude GET /api/graphcanon/graph?tool=plasticityai-magnitude