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
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+721
STARS · LAST 30 DAYS
24
PER DAY
#25
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +168 | +721 | +2.2K |
| Per day | 24 | 24 | 24 |
| Forks gained | +45 | +179 | +446 |
xgboost gained 721 stars in the last 30 days, about 24 a day, and now has 28.8K. It is about 13 years old and has averaged roughly 2.2K stars a year. It ranks #25 among C++ repositories and #434 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#2808
BEST RANK
Oct 5, 2026
FIRST APPEARANCE
Active
STATUS TODAY
xgboost has maintained a continuous presence across global trending indexes, peaking at #2808. Below is the 30-day activity profile:
💡 Overview
xgboost is an open-source project written 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.
Engineered for speed, consistency, and developer ease, it solves common hurdles in distributed-systems, gbdt, gbm. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in C++ for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ git clone https://github.com/dmlc/xgboost.git
cd xgboost⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
xgboost coordinates its core functionality through a modular C++ pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Production System Integration
Embed xgboost into C++ backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open Apache-2.0 license.
🚀 Getting Started
Install xgboost using your package manager: `git clone https://github.com/dmlc/xgboost.git`
Initialize your project workspace or configuration file for xgboost.
Import xgboost into your codebase or invoke it directly from your terminal.
Execute your test suite or run `xgboost --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
dmlc/xgboost is currently ranked #434 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #429 | Anuken/Mindustry | Java | ★ 29.2K | Compare ↗ |
| #430 | authelia/authelia | Go | ★ 29.2K | Compare ↗ |
| #431 | rohitg00/agentmemory | TypeScript | ★ 29.1K | Compare ↗ |
| #432 | swagger-api/swagger-ui | JavaScript | ★ 29K | Compare ↗ |
| #433 | envoyproxy/envoy | C++ | ★ 29K | Compare ↗ |
| #434 | dmlc/xgboost This Project | C++ | ★ 28.8K | |
| #435 | microsoft/semantic-kernel | C# | ★ 28.6K | Compare ↗ |
| #436 | yamadashy/repomix | TypeScript | ★ 28.6K | Compare ↗ |
| #437 | srbhr/Resume-Matcher | Python | ★ 28.6K | Compare ↗ |
| #438 | kestra-io/kestra | Java | ★ 28.6K | Compare ↗ |
| #439 | HumanSignal/label-studio | TypeScript | ★ 28.4K | Compare ↗ |
Frequently Asked Questions
What does xgboost do? +
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
What language is xgboost written in? +
The primary language is C++. Topics include: distributed-systems, gbdt, gbm, gbrt, machine-learning.
Is xgboost actively maintained? +
Yes, the last recorded push was on Oct 4, 2026 with 449 open issues being tracked.
How many stars does xgboost have? +
xgboost has 28,827 stars and 8,925 forks on GitHub.
How does xgboost rank among GitHub repositories? +
With 28,827 stars, dmlc/xgboost is ranked #434 globally across all repositories tracked on GitHubRepo and #25 among C++ projects.
What license is xgboost distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
