langevals
Provides a platform for evaluating and benchmarking LLM models using various evaluators
GraphCanon updated Sep 13, 2026 · GitHub synced Sep 13, 2026
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Decision brief
LangEvals is an amalgamation platform for various language model evaluators under one umbrella. This tool offers a standardized interface to assess and protect large language models with ease.
Good fit when
- When you need a singular point of access to multiple LLM evaluation tools
- For standardizing the assessment process across different evaluators as part of your pipeline
Avoid when
- If you prefer not having a dependency on LangEvals after it has been moved into the LangWatch monorepo, opting for directly managing individual evaluators could be a better option
- When needing to customize evaluation processes extensively beyond what the provided standard interface allows
- Pricing:
- unknown
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Archived (209d since push)
- As of Sep 13, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 13, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/langwatch/langevalsSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
LangEvals acts as an aggregator for multiple language model evaluation tools under one interface, facilitating the protection and assessment of large language models.
Capability facts
No sourced capability facts yet. Facts appear after ingest scans repo manifests (Dockerfile, package.json, MCP configs).
Categories
Tags
README
LangEvals MOVED This project has been moved into the LangWatch monorepo. You can find the langevals source code at: langwatch/langwatch/langevals PyPI Packages The PyPI packages ( , , , etc.) continue to be published from the new location. No changes needed for existing users ins...
For agents
This page has a .md twin and JSON over the API.