dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
28.9k stars · 8.9k forks · C++
Healthy
Healthy: actively maintained by 36 people, no known risks.
Why
No rule fired.
What would change this
- Partly checked: maintenance (Commit counts are estimated: the commit sample stops before the window start, so GitHub's totals were scaled by the sampled bot share.)
- A dormant maintenance status, a deprecated or archived package, a successor link, or a critical advisory would change this.
Maintenance
PartialActive
- Human commits, 30 days
- 93
- Human commits, 90 days
- 217
- Human commits, 365 days
- 508
- Bot share of commits, 365 days
- 6%
- Last commit
- Oct 14, 2026 (16 hours ago)
- Last human commit
- Oct 14, 2026 (18 hours ago)
- Authors, 90 days
- 36
- Last release
- Sep 15, 2026 (29 days ago)
- Median PR merge time
- 13 hours
Responsiveness: of 16 recent issues, 75% got a maintainer reply. Median first response: 12 hours.
- Commit counts are estimated: the commit sample stops before the window start, so GitHub's totals were scaled by the sampled bot share.
Sources: Commits, Releases, Merged pull requests, Issues
People
Complete- Owner
- Organization
- Commits sampled
- 472 since Oct 14, 2025
- Authors for half of commits
- 2
- Authors for 80% of commits
- 5
- Contributors
- 400
Top committers
- trivialfis: 43% of commits
- RAMitchell: 29% of commits
- chyunsu3: 4% of commits
- Nityahapani: 3% of commits
- jameslamb: 2% of commits
The top committer changed during this period.
- Shares come from the newest sampled commits, since the commit sample is capped.
Sources: Commits, Contributors
Stars
CompleteOrganic, confidence high
Bursts
- Mar 27, 2014 to Mar 28, 2014: about 22 more stars than usual, peak 11 in one day, a spike that tapers off. Outside explanation: a jump in forks.
- Apr 20, 2015 to Apr 24, 2015: about 81 more stars than usual, peak 27 in one day, a spike that tapers off. Outside explanation: a jump in forks, a jump in issues and pull requests.
- May 21, 2015 to May 21, 2015: about 20 more stars than usual, peak 24 in one day, a spike that tapers off. Outside explanation: a jump in forks, a jump in issues and pull requests.
- Oct 29, 2015 to Oct 30, 2015: about 42 more stars than usual, peak 38 in one day, a spike that tapers off. Outside explanation: a jump in forks, a jump in issues and pull requests.
- Jan 19, 2016 to Jan 19, 2016: about 30 more stars than usual, peak 35 in one day, a spike that tapers off. Outside explanation: a jump in forks, a jump in issues and pull requests.
- Feb 25, 2016 to Feb 25, 2016: about 43 more stars than usual, peak 48 in one day, a spike that tapers off. Outside explanation: a jump in forks, a jump in issues and pull requests.
- May 25, 2022 to May 26, 2022: about 81 more stars than usual, peak 71 in one day, a spike that tapers off. Outside explanation: a jump in forks, a jump in issues and pull requests.
- Oct 3, 2023 to Oct 9, 2023: about 145 more stars than usual, peak 68 in one day, a spike that tapers off. Outside explanation: a jump in forks.
Anyone can buy stars for any repo; bursts alone don't prove the owner did.
- The star history looks organic.
Sources: How star history is analyzed
Risk
CompleteFlags
No risk flags.
License
- Now
- Apache-2.0 (OSI-approved)
- A year ago
- Apache-2.0 (OSI-approved)
Packages
No published packages found.
OpenSSF Scorecard: 6.2 out of 10 (via deps.dev).
Sources: GitHub: dmlc/xgboost
Badge
Add this to a README to show the current verdict:
[](https://reporadar.ai/dmlc/xgboost)Earlier verdicts
- Oct 14, 2026: Healthy
- Oct 14, 2026: Healthy