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Compare mlflow/mlflow (25,292 stars) vs jina-ai/serve (21,563 stars) side by side. Stars, commits, pull requests, issues, contributors and more.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
The growth trend and the specific number of stars since the repository was established.
Stargazers, Issue creators, and Pull Request creators' geographical distribution around the world (analyzed with the public GitHub information).
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Company information about Stargazers, Issue creators, and Pull Request creators (analyzed with the public GitHub information).
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The trend of the total number of commits/pushes per month in a repository since it was created.
* Note: A push action can include multiple commit actions.
The bars show the additions or deletions of code in Pull Requests monthly.
The line chart demonstrates the total lines of code in Pull Requests (additions + deletions).
The Heat Maps below describe the number of commit events that occur at a particular point of time.
| mlflow/mlflow | jina-ai/serve | |
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We divide the size of Pull Request into six intervals, from xs to xxl (based on the changes of code lines). Learn more about PR size.
The time of a Pull Request from submitting to merging.
p25/p75: 25%/75% Pull Requests are merged within X minute/hour/day.
e.g. p25: 1h means 25% Pull Requests are merged within 1 hour.
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The time of an issue from open to first-responded (exclude bots).
p25/p75: 25%/75% issues are responded within X minute/hour/day.
e.g. p25: 1h means 25% issues are responded within 1 hour.
Monthly opened/closed issues and the historical totals.