Analyzed
about 5 hours
ago.
based on code collected
about 6 hours
ago.
Project Summary
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, Flink and DataFlow
Badges
In a Nutshell, xgboost...
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has a well established, mature codebase
maintained by a very large development team
with decreasing Y-O-Y commits -
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took an estimated 43 years of effort (COCOMO model)
starting with its first commit in February, 2014
ending with its most recent commit about 13 hours ago
Quick Reference
https://github.com/dmlc/xgboost
Apache License 2.0
Permitted
Commercial Use
Modify
Distribute
Place Warranty
Sub-License
Private Use
Use Patent Claims
Forbidden
Hold Liable
Use Trademarks
Required
Include Copyright
State Changes
Include License
Include Notice
These details are provided for information only. No information here is legal advice and should not be used as such.
Project Security
Vulnerabilities per Version ( last 10 releases )
There are no reported vulnerabilities
Project Vulnerability Report
Security Confidence Index
Poor security track-record
Favorable security track-record
Vulnerability Exposure Index
Many reported vulnerabilities
Few reported vulnerabilities
Did You Know...
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nearly 1 in 3 companies have no process for identifying, tracking, or remediating known open source vulnerabilities
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65% of companies leverage OSS to speed application development in 2016
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30 Day SummaryDec 2 2025 — Jan 1 2026
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12 Month SummaryJan 1 2025 — Jan 1 2026
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