vibrantlabsai / ragas
Supercharge Your LLM Application Evaluations 🚀
Why this job: topics: llmops, evaluation
What it does
- Objective Metrics. Evaluate your LLM applications with precision using both LLM-based and traditional metrics.
- Test Data Generation. Automatically create comprehensive test datasets covering a wide range of scenarios.
- Seamless Integrations. Works flawlessly with popular LLM frameworks like LangChain and major observability tools.
- Build feedback loops. Leverage production data to continually improve your LLM applications.
Get started
pip install ragas- Maintenance
- Inactive
- Last commit 8 months ago
- Stars
- 16,298
- +62 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.4.3
- Released 10 months ago
- Built with
- Python
- 83% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 71% closed
- 392 still open
- Pull requests
- 1,122 merged
- 271 waiting
- Releases
- 89
- 5 in the last year
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More: languages, topics and project record
Languages
- Python 83%
- Jupyter Notebook 17%
- Makefile <1%
- Dockerfile <1%
Topics
- llm
- llmops
- evaluation
Project record
- JobEvals and observability
- StatusListed
- Commits1,147
- Forks1,813
- Watching61
- Stars in 28 days+294
- CreatedMay 8, 2023
- First seen by usNov 7, 2026
- CheckedNov 8, 2026