GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
LangKit is an open-source toolkit for monitoring Large Language Models (LLMs), offering features such as text quality, relevance metrics, and sentiment analysis to ensure safety and security.
Good fit when
- Use LangKit when you need a comprehensive toolkit for monitoring LLMs that includes text quality and relevance metrics, as well as sentiment analysis.
- Consider LangKit if you are working with Jupyter Notebooks and require an Apache-2.0 licensed tool for LLM observability.
Avoid when
- Avoid LangKit if you are looking for a tool that supports languages other than Python, as it is specifically designed for use with Jupyter Notebooks.
- Do not use LangKit if your project requires proprietary licensing, as it is released under the open-source Apache-2.0 license.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (664d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/whylabs/langkitSimilar 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
LangKit extracts signals from prompts and responses to ensure safety and security, featuring text quality, relevance metrics, and sentiment analysis for comprehensive LLM observability
Capability facts
- Languages
- jupyter notebook, python
Source: github.language+pyproject.toml · Sep 18, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
To install LangKit, use the Python Package Index (PyPI) as follows:Source link
Tags
README
Installation 💻 To install LangKit, use the Python Package Index (PyPI) as follows:
For agents
This page has a .md twin and JSON over the API.