It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way. The same code runs on major distributed environment (Hadoop, SGE, MPI) and can solve problems beyond billions of examples. Here are some quick get started exmaples, please checkout the documents. Python
| Website | http://www.xgboost.ai |
| Revenue | $1 million |
| Employees | View employees |
| Industry | Business Services General, Software, Business Services |
| Competitors | Amazon, Microsoft, IBM, H2O.ai, KNIME, PyTorch, Grupo Fernapi, Altair RapidMiner, TensorFlow User Group (TFUG), scikit-learn +48 more (view full list) |
| SIC | SIC Code 737 Companies, SIC Code 73 Companies |
| NAICS | NAICS Code 5415 Companies, NAICS Code 54 Companies, NAICS Code 54151 Companies, NAICS Code 541 Companies, NAICS Code 541512 Companies |
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XGBoost Questions
The XGBoost annual revenue was $1 million in 2026.
XGBoost is based in Seattle, Washington.
The NAICS codes for XGBoost are [5415, 54, 54151, 541, 541512].
The SIC codes for XGBoost are [737, 73].
