A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
⚡ Executive Summary & Quick Facts
Authoritative Sourceyggdrasil-decision-forests is 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. ..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), google/yggdrasil-decision-forests has accumulated 677 GitHub stars and 84 forks. It is written in C++, licensed under Apache-2.0, and ranks #10,636 globally. It is actively maintained with the latest commit recorded on Oct 26, 2026.”
| Repository | google/yggdrasil-decision-forests ↗ |
|---|---|
| Primary Category | cart |
| Language & Stack | C++ |
| Software License | Apache-2.0 |
| Community Traction | ★ 677 stars · ⑂ 84 forks · #10,636 globally |
| Maintenance | ● Active (Last commit: Oct 26, 2026) · 64 open issues |
| Target Audience | Developers and engineering teams building with C++, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 88/100 · Grade AYes, yggdrasil-decision-forests is actively maintained. Continuous telemetry recorded the last code commit on Oct 26, 2026 (18 days ago). Supported by 677 stars and 84 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (18 days ago) and healthy issue cadence.
Star History
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+1
STARS · LAST 30 DAYS
1
PER DAY
#831
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +1 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +0 | +10 |
yggdrasil-decision-forests gained 1 stars in the last 30 days, about 1 a day, and now has 677. It is about 6 years old and has averaged roughly 113 stars a year. It ranks #831 among C++ repositories and #10,636 across all languages on GitHubRepo.
Trending Record
41
DAYS ON TRENDING
#3318
BEST RANK
Sep 28, 2026
FIRST APPEARANCE
Active
STATUS TODAY
yggdrasil-decision-forests has maintained a continuous presence across global trending indexes, peaking at #3318. 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 #10,636 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
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|---|---|---|---|---|
| #10,626 | OnyxAxisOwO/ObsidianArc | Go | ★ 679 | Compare ↗ |
| #10,632 | ddf/Minim | Java | ★ 678 | Compare ↗ |
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| #10,632 | SpartanJ/eepp | C++ | ★ 678 | Compare ↗ |
| #10,632 | overmind-core/overmind | Python | ★ 678 | Compare ↗ |
| #10,636 | google/yggdrasil-decision-forests This Project | C++ | ★ 677 | |
| #10,636 | libts/tslib | C | ★ 677 | Compare ↗ |
| #10,636 | softwareQinc/qpp | C++ | ★ 677 | 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.
Is yggdrasil-decision-forests actively maintained in 2026? +
Yes, yggdrasil-decision-forests is actively maintained. The latest code push was recorded on Oct 26, 2026 (18 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 677 stars and 64 open issues.
What language is yggdrasil-decision-forests written in? +
The primary language is C++. Topics include: cart, cli, cpp, decision-forest, decision-trees.
How many stars does yggdrasil-decision-forests have? +
yggdrasil-decision-forests has 677 stars and 84 forks on GitHub.
How does yggdrasil-decision-forests rank among GitHub repositories? +
With 677 stars, google/yggdrasil-decision-forests is ranked #10,636 globally across all repositories tracked on GitHubRepo and #831 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.
