A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Star History
Momentum
+17
STARS · LAST 30 DAYS
1
PER DAY
#239
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +17 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
yggdrasil-decision-forests gained 17 stars in the last 30 days, about 1 a day, and now has 675. It is about 5 years old and has averaged roughly 135 stars a year. It ranks #239 among C++ repositories and #3,164 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#3129
BEST RANK
Sep 28, 2026
FIRST APPEARANCE
Active
STATUS TODAY
yggdrasil-decision-forests has maintained a continuous presence across global trending indexes, peaking at #3129. Below is the 30-day activity profile:
💡 Overview
yggdrasil-decision-forests is an open-source project written in C++: A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees. .
Engineered for speed, consistency, and developer ease, it solves common hurdles in cart, cli, cpp. 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/google/yggdrasil-decision-forests.git
cd yggdrasil-decision-forests⚙ 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
yggdrasil-decision-forests 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
Command-Line Automation
Execute automated build, deployment, and maintenance tasks directly from the terminal.
CI/CD Workflow Integration
Run non-interactive validation checks in GitHub Actions, GitLab CI, or local pre-commit hooks.
Developer Environment Setup
Standardize local engineering workstations with single-binary utility commands.
Scripting & Pipeline Orchestration
Chain complex multi-stage scripts with reliable error reporting and exits.
🚀 Getting Started
Install yggdrasil-decision-forests using your package manager: `git clone https://github.com/google/yggdrasil-decision-forests.git`
Initialize your project workspace or configuration file for yggdrasil-decision-forests.
Import yggdrasil-decision-forests into your codebase or invoke it directly from your terminal.
Execute your test suite or run `yggdrasil-decision-forests --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
google/yggdrasil-decision-forests is currently ranked #3,164 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #3,159 | wshobson/maverick-mcp | Python | ★ 678 | Compare ↗ |
| #3,159 | Basekick-Labs/arc | Go | ★ 678 | Compare ↗ |
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| #3,163 | mitchmac/ServerlessWP | PHP | ★ 676 | Compare ↗ |
| #3,164 | google/yggdrasil-decision-forests This Project | C++ | ★ 675 | |
| #3,164 | corretto/corretto-11 | Java | ★ 675 | Compare ↗ |
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Frequently Asked Questions
What does yggdrasil-decision-forests do? +
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
What language is yggdrasil-decision-forests written in? +
The primary language is C++. Topics include: cart, cli, cpp, decision-forest, decision-trees.
Is yggdrasil-decision-forests actively maintained? +
Yes, the last recorded push was on Sep 28, 2026 with 69 open issues being tracked.
How many stars does yggdrasil-decision-forests have? +
yggdrasil-decision-forests has 675 stars and 85 forks on GitHub.
How does yggdrasil-decision-forests rank among GitHub repositories? +
With 675 stars, google/yggdrasil-decision-forests is ranked #3,164 globally across all repositories tracked on GitHubRepo and #239 among C++ projects.
What license is yggdrasil-decision-forests distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
