Compare open source projects
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
| Measure | phoenixObserve and Evaluate AI Applications | evidentlyEvaluate and Monitor ML and LLM Systems |
|---|---|---|
| Status | Active | Active |
| Health score | 80/100best | 57/100 |
| Activity (percentile) | 90best | 50 |
| Community (percentile) | 80 | 84best |
| Issues (percentile) | 88best | 46 |
| Pull requests (percentile) | 61best | 46 |
| Stars | 12,295best | 8,062 |
| Stars gained | +433 in 30 daysbest | +71 in 30 days |
| Forks | 1,299best | 974 |
| Commits, last 90 days | 100+best | 3 |
| Releases, last 12 months | 100+best | 7 |
| Contributors | 100+best | 88 |
| Commits by top contributor | 49% | 24%best |
| Issues closed, last 90 days | 22best | 1 |
| Median days to close an issue | 0 | — |
| Pull requests merged, last 90 days | 81best | 2 |
| Median days to merge | 1 | — |
| Language | Python | Jupyter Notebook |
| License | NOASSERTION | Apache-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.