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
- Stars
- 29k
- Forks
- 9.0k
- Open issues
- 404
- Last push
- today
About xgboost
xgboost is a free, open-source AI developer tool by dmlc, written mainly in C++. 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. It has 29k GitHub stars and 9.0k forks, and was last updated today. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- C++
- Stars
- 28,899
- Last update
- today
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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xgboost FAQ
Is xgboost free?
Yes. xgboost is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does xgboost run on a Mac?
Its README doesn't say. Check the installation guide on GitHub before you start.
Does xgboost need a GPU?
Its README doesn't state hardware needs. AI models generally run much faster with a GPU.
Is xgboost still maintained?
Yes. It was last updated today and has 404 open issues on GitHub.
What are alternatives to xgboost?
Similar free, open-source tools include tensorflow, LightGBM, spaCy, stanza.