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Pick up to 4 projects from our catalog and see their health, activity and community side by side, measured the same way for every project. How we measure

Comparison of evidently, langwatch
MeasureevidentlyEvaluate and Monitor ML and LLM SystemslangwatchTest and Monitor LLM Applications and AI Agents
StatusActiveActive
Health score57/10079/100best
Activity (percentile)5190best
Community (percentile)84best68
Issues (percentile)4780best
Pull requests (percentile)4779best
Stars8,004best4,990
Stars gained+34 in 17 days+67 in 17 daysbest
Forks956best417
Commits, last 90 days3100+best
Releases, last 12 months7100+best
Contributors88best36
Commits by top contributor24%best41%
Issues closed, last 90 days18best
Median days to close an issue—0
Pull requests merged, last 90 days280best
Median days to merge—0
LanguageJupyter NotebookTypeScript
LicenseApache-2.0Apache-2.0

Counts go up to 100. "Best" marks the strongest value in a row when the projects differ; percentiles are among the projects we track.

Written comparisons