Eclectic-Sheep/sheeprl
Distributed Reinforcement Learning accelerated by Lightning Fabric
Star History
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+11
STARS · LAST 30 DAYS
1
PER DAY
#700
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +11 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
sheeprl gained 11 stars in the last 30 days, about 1 a day, and now has 439. It is about 3 years old and has averaged roughly 146 stars a year. It ranks #700 among Python repositories and #5,608 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#5467
BEST RANK
Oct 1, 2026
FIRST APPEARANCE
Active
STATUS TODAY
sheeprl has maintained a continuous presence across global trending indexes, peaking at #5467. Below is the 30-day activity profile:
💡 Overview
sheeprl is an open-source project written in Python: Distributed Reinforcement Learning accelerated by Lightning Fabric.
Engineered for speed, consistency, and developer ease, it solves common hurdles in distributed, lightning, pytorch. 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 Python 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
$ pip install sheeprl⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
sheeprl coordinates its core functionality through a modular Python 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 sheeprl into Python 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 sheeprl using your package manager: `pip install sheeprl`
Initialize your project workspace or configuration file for sheeprl.
Import sheeprl into your codebase or invoke it directly from your terminal.
Execute your test suite or run `sheeprl --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
Eclectic-Sheep/sheeprl is currently ranked #5,608 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #5,601 | avito-tech/avito-android | Kotlin | ★ 440 | Compare ↗ |
| #5,601 | nicklockwood/ShapeScript | Swift | ★ 440 | Compare ↗ |
| #5,601 | qt/qtwebengine | C++ | ★ 440 | Compare ↗ |
| #5,601 | kragen/stoneknifeforth | Forth | ★ 440 | Compare ↗ |
| #5,601 | AudioBooth/AudioBooth | Swift | ★ 440 | Compare ↗ |
| #5,608 | Eclectic-Sheep/sheeprl This Project | Python | ★ 439 | |
| #5,608 | mudler/vllm.cpp | C++ | ★ 439 | Compare ↗ |
| #5,608 | frappe/wiki | Python | ★ 439 | Compare ↗ |
| #5,608 | apoorvdarshan/fud-ai | Kotlin | ★ 439 | Compare ↗ |
| #5,608 | contao/contao | PHP | ★ 439 | Compare ↗ |
| #5,608 | tlaplus/vscode-tlaplus | TypeScript | ★ 439 | Compare ↗ |
Frequently Asked Questions
What does sheeprl do? +
Distributed Reinforcement Learning accelerated by Lightning Fabric
What language is sheeprl written in? +
The primary language is Python. Topics include: distributed, lightning, pytorch, reinforcement-learning.
Is sheeprl actively maintained? +
Yes, the last recorded push was on Oct 1, 2026 with 27 open issues being tracked.
How many stars does sheeprl have? +
sheeprl has 439 stars and 67 forks on GitHub.
How does sheeprl rank among GitHub repositories? +
With 439 stars, Eclectic-Sheep/sheeprl is ranked #5,608 globally across all repositories tracked on GitHubRepo and #700 among Python projects.
What license is sheeprl distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
