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Comparison of verl-omni, verifiers
Measureverl-omniTrain Diffusion and Omni Models with Reinforcement LearningverifiersBuild Environments for LLM Training and Evaluation
StatusActiveActive
Health score66/10073/100best
Activity (percentile)7285best
Community (percentile)79best78
Issues (percentile)63best53
Pull requests (percentile)5076best
Stars1,3424,731best
Stars gained+157 in 16 daysbest+54 in 16 days
Forks274716best
Commits, last 90 days100+100+
Releases, last 12 months646best
Contributors4690best
Commits by top contributor17%best39%
Issues closed, last 90 days12best2
Median days to close an issue4—
Pull requests merged, last 90 days84best66
Median days to merge50best
LanguagePythonPython
LicenseApache-2.0MIT

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