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metric-learn

scikit-learn-contrib/metric-learn

Metric learning algorithms in Python

GitHub Website

GraphCanon updated Sep 26, 2026 · GitHub synced Sep 26, 2026

41views this month

1.4k stars232 forksLast push Mar 19, 2026 Python MIT

Decision brief

Metric-learn is a Python library for metric learning that offers a range of algorithms compatible with scikit-learn's API and supports various methods like LMNN, ITML, LFDA among others.

Good fit when

When you need to use specific metric learning techniques such as Large Margin Nearest Neighbor (LMNN) or Neighborhood Components Analysis (NCA), which are implemented efficiently in Python.
When your project is compatible with the scikit-learn framework and you want to integrate new methods without changing existing pipelines.

Avoid when

If your development environment does not already use Python, as metric-learn is specific to this language and its ecosystem.
For applications that require real-time performance critical operations, since the library may rely on computationally intensive algorithms that could affect latency in real-time systems.

Requirements:: The application requires Python version 3.6 or higher and specific dependencies such as numpy, scipy, and scikit-learn.

Observed Jul 17, 2026 · Source: enrich:decision_facts

metric-learn alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Slowing (190d since push); As of Sep 26, 2026
Provenance: Not a fork · Organization account; As of Sep 26, 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 metric-learn

PyPI

How it fits your stack(1)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Integrates

scikit-learn

Metric Learn extends the functionality of scikit-learn by providing metric learning algorithms, designed to work in conjunction with scikit-learn's framework and models.

integrates

Relationship graph

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Evidence and technical details

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

Overview

metric-learn contains efficient Python implementations of several metric learning algorithms compatible with scikit-learn's API.

Capability facts

Languages: python
Source: github.language · Sep 26, 2026

Compatibility

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

Python runtimePython

Source: README excerpt (regex_v1, Sep 26, 2026)

metric-learn: Metric Learning in Python

Source link

README

GitHub Actions Build Status License PyPI version Code coverage metric learn: Metric Learning in Python ======================================= metric learn contains efficient Python implementations of several popular supervised and weakly supervised metric learning algorithms. As...

For agents

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

/tools/scikit-learn-contrib-metric-learn.md GET /api/graphcanon/tools/scikit-learn-contrib-metric-learn GET /api/graphcanon/graph?tool=scikit-learn-contrib-metric-learn