perpetual-ml/perpetual
Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R
⚡ Executive Summary & Quick Facts
Authoritative Sourceperpetual is perpetual is an open-source project written in Rust: Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), perpetual-ml/perpetual has accumulated 718 GitHub stars and 43 forks. It is written in Rust, licensed under Apache-2.0, and ranks #10,321 globally. It is actively maintained with the latest commit recorded on Nov 11, 2026.”
| Repository | perpetual-ml/perpetual ↗ |
|---|---|
| Primary Category | data science |
| Language & Stack | Rust |
| Software License | Apache-2.0 |
| Community Traction | ★ 718 stars · ⑂ 43 forks · #10,321 globally |
| Maintenance | ● Active (Last commit: Nov 11, 2026) · 1 open issues |
| Target Audience | Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 93/100 · Grade A+Yes, perpetual is actively maintained. Continuous telemetry recorded the last code commit on Nov 11, 2026 (2 days ago). Supported by 718 stars and 43 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+18
STARS · LAST 30 DAYS
1
PER DAY
#999
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +18 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
perpetual gained 18 stars in the last 30 days, about 1 a day, and now has 718. It is about 2 years old and has averaged roughly 359 stars a year. It ranks #999 among Rust repositories and #10,321 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#13680
BEST RANK
Nov 11, 2026
FIRST APPEARANCE
Active
STATUS TODAY
perpetual has maintained a continuous presence across global trending indexes, peaking at #13680. Below is the 30-day activity profile:
💡 Overview
perpetual is an open-source project written in Rust: Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R.
Engineered for speed, consistency, and developer ease, it solves common hurdles in data-science, 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 Rust 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
$ cargo install perpetual⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Rust toolchain (rustc / cargo >= 1.70)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
perpetual coordinates its core functionality through a modular Rust 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 perpetual into Rust 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 perpetual using your package manager: `cargo install perpetual`
Initialize your project workspace or configuration file for perpetual.
Import perpetual into your codebase or invoke it directly from your terminal.
Execute your test suite or run `perpetual --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
perpetual-ml/perpetual is currently ranked #10,321 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #10,314 | mahkoh/jay | Rust | ★ 719 | Compare ↗ |
| #10,314 | vincent-herlemont/native_db | Rust | ★ 719 | Compare ↗ |
| #10,314 | pdovhomilja/nextcrm-app | TypeScript | ★ 719 | Compare ↗ |
| #10,314 | Crosstalk-Solutions/unifi-toolkit | Python | ★ 719 | Compare ↗ |
| #10,314 | Seagey/couch-tv | Python | ★ 719 | Compare ↗ |
| #10,321 | perpetual-ml/perpetual This Project | Rust | ★ 718 | |
| #10,321 | ungoogled-software/ungoogled-chromium-macos | Python | ★ 718 | Compare ↗ |
| #10,321 | faridrashidi/cnsplots | Python | ★ 718 | Compare ↗ |
| #10,321 | cel-rust/cel-rust | Rust | ★ 718 | Compare ↗ |
| #10,321 | chapar-rest/chapar | Go | ★ 718 | Compare ↗ |
| #10,321 | Nomadcxx/opencode-cursor | TypeScript | ★ 718 | Compare ↗ |
Frequently Asked Questions
What does perpetual do? +
Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R
Is perpetual actively maintained in 2026? +
Yes, perpetual is actively maintained. The latest code push was recorded on Nov 11, 2026 (2 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 718 stars and 1 open issues.
What language is perpetual written in? +
The primary language is Rust. Topics include: data-science, gbdt, gbm, gradient-boosted-trees, gradient-boosting.
How many stars does perpetual have? +
perpetual has 718 stars and 43 forks on GitHub.
How does perpetual rank among GitHub repositories? +
With 718 stars, perpetual-ml/perpetual is ranked #10,321 globally across all repositories tracked on GitHubRepo and #999 among Rust projects.
What license is perpetual distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
