Home/Evaluation & Observability/lighteval

lighteval

huggingface/lighteval

All-in-one toolkit for evaluating LLMs across multiple backends

GitHub Website

GraphCanon updated Oct 12, 2026 · GitHub synced Oct 12, 2026

54views this month

2.6k stars576 forksLast push Oct 6, 2026 Python MIT

Decision brief

Lighteval is designed for evaluating language models across multiple backends. It integrates well with Hugging Face and provides a wide range of extras, making it particularly handy in non-Windows environments.

Good fit when

When you need to evaluate the performance of various LLMs on different backend infrastructures, especially if you are working within Mac/Linux environments.
If your evaluation process involves pushing results to the Hugging Face Hub and integrating with its ecosystem.

Avoid when

Avoid Lighteval for evaluations on Windows systems as it is currently untested and not supported there.
Should you require a solution that does not integrate with or depend on the Hugging Face ecosystem, Lighteval might not fulfill your needs.

Observed Jul 12, 2026 · Source: enrich:decision_facts

lighteval alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Very active (5d since push); As of Oct 12, 2026
Provenance: Not a fork · Organization account; As of Oct 12, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

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

Backing

Company context for Hugging Face. Display-only - separate from trust and ranking.

Company: Hugging Face·GitHub org profile·Jul 11, 2026
Employees: 160·Wikidata (P1128 employees)·Jul 11, 2026
Funding: $235,000,000 (2023-08)·GraphCanon curated seed (public press)·Jul 11, 2026
Commercial model: OSS + managed cloud·GraphCanon curated seed·Jul 11, 2026

Install

pip install lighteval

PyPI

Similar tools

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

evals

Framework for evaluating LLMs and LLM systems with an open-source registry of benchmarks.

19k★

deepeval

LLM Evaluation Framework.

18k★

lm-evaluation-harness

A framework for few-shot evaluation of language models.

14k★

Evidence and technical details

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

Overview

Lighteval provides a comprehensive set of tools and frameworks to evaluate the performance of language models (LLMs) on different computing platforms or backend infrastructures.

Capability facts

CLI: CLI entrypoint
Source: pyproject.toml:[project.scripts] · Oct 12, 2026
Languages: python
Source: github.language+pyproject.toml · Oct 12, 2026

Graph entities

Hugging Facecompany

Compatibility

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

Python runtimePython

Source: README excerpt (regex_v1, Oct 12, 2026)

pip install lighteval

Source link

README

⚡️ Installation Note : lighteval is currently completely untested on Windows , and we don't support it yet. ( Should be fully functional on Mac/Linux ) Lighteval allows for many extras when installing, see here for a complete list . If you want to push results to the Hugging Face...

For agents

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

/tools/huggingface-lighteval.md GET /api/graphcanon/tools/huggingface-lighteval GET /api/graphcanon/graph?tool=huggingface-lighteval