# dmlc/xgboost

> XGBoost is an optimized distributed gradient boosting library (GBDT/GBM) with APIs for Python, R, Java, Scala, C and more. It trains fast and accurate tree models on a single machine or on clusters like Spark, Dask, Flink and Kubernetes.

- Magnitude: 0.9 out of 10 — Quiet
- Stars: 28,926 total · +0 stars measured 2026-10-30, 10:49–13:14 UTC, ≈ 1 by evening
- Star trust: star growth looks organic
- Category: Data & analytics · Language: C++ · License: Apache-2.0 · Created: 2014-02-06 · Last push: 2026-10-30
- GitHub: https://github.com/dmlc/xgboost · Homepage: https://xgboost.readthedocs.io/ · Page: https://gitnova.dev/en/r/dmlc/xgboost

## Useful for

- Train a gradient boosting model on tabular data for a classification or regression task
- Scale training to a Spark or Dask cluster on datasets with billions of examples
- Run the same XGBoost code from Python, R, Java or Scala without rewriting the pipeline

## Why it’s here

- Star-counter measurements on 2026-10-30 (UTC), 10:49–13:14: 28926 → 28926 stars (+0). This is the change over that interval.
- GitHub Trending C++ today: #11, +4 stars.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 8,955
- Issues and pull requests: 12,725
- Watchers: 877
- Average over the last week: 4 per day
- Usual pace: 5 per day
- Stars in the last hour (measured): 0
- Latest release: v3.3.1 (2026-09-15)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-10-01 … 2026-10-30: 1, 6, 8, 5, 3, 5, 2, 3, 7, 3, 5, 2, 12, 12, 4, 4, 3, 6, 4, 2, 6, 4, 1, 2, 6, 3, 5, 4, 5, 0

## Spotted in now

- GitHub Trending C++ today: #11, +4 stars

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-30 13:16 UTC, updated every 30 minutes.