Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.
⚡ Executive Summary & Quick Facts
Authoritative Sourcemiles is miles is an open-source project written in Python: Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), radixark/miles has accumulated 3,220 GitHub stars and 582 forks. It is written in Python, licensed under Apache-2.0, and ranks #4,136 globally. It is actively maintained with the latest commit recorded on Oct 27, 2026.”
| Repository | radixark/miles ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 3.2K stars · ⑂ 582 forks · #4,136 globally |
| Maintenance | ● Active (Last commit: Oct 27, 2026) · 872 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 87/100 · Grade AYes, miles is actively maintained. Continuous telemetry recorded the last code commit on Oct 27, 2026 (17 days ago). Supported by 3,220 stars and 582 community forks, this repository holds a calculated health index of 87/100, reflecting regular maintenance (17 days ago) and active community feedback (872 open).
Star History
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Momentum
+113
STARS · LAST 30 DAYS
4
PER DAY
#632
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +113 | +360 |
| Per day | 1 | 4 | 4 |
| Forks gained | +0 | +26 | +29 |
miles gained 113 stars in the last 30 days, about 4 a day, and now has 3.2K. It is about 1 year old and has averaged roughly 3.2K stars a year. It ranks #632 among Python repositories and #4,136 across all languages on GitHubRepo.
Trending Record
42
DAYS ON TRENDING
#587
BEST RANK
Sep 27, 2026
FIRST APPEARANCE
Active
STATUS TODAY
miles has maintained a continuous presence across global trending indexes, peaking at #587. Below is the 30-day activity profile:
💡 Overview
miles is an open-source project written in Python: Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. 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 miles
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
miles 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 miles 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 miles using your package manager: `pip install miles`
Initialize your project workspace or configuration file for miles.
Import miles into your codebase or invoke it directly from your terminal.
Execute your test suite or run `miles --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
radixark/miles is currently ranked #4,136 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #4,130 | progrium/localtunnel | Go | ★ 3.2K | Compare ↗ |
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| #4,135 | bloomberg/blazingmq | C++ | ★ 3.2K | Compare ↗ |
| #4,136 | radixark/miles This Project | Python | ★ 3.2K | |
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Frequently Asked Questions
What does miles do? +
Miles is an enterprise-facing reinforcement learning framework for LLM and VLM post-training, forked from and co-evolving with slime.
Is miles actively maintained in 2026? +
Yes, miles is actively maintained. The latest code push was recorded on Oct 27, 2026 (17 days ago). It holds a calculated Maintenance Health Score of 87/100 (A rating) with 3,220 stars and 872 open issues.
What language is miles written in? +
The primary language is Python. Topics include: software.
How many stars does miles have? +
miles has 3,220 stars and 582 forks on GitHub.
How does miles rank among GitHub repositories? +
With 3,220 stars, radixark/miles is ranked #4,136 globally across all repositories tracked on GitHubRepo and #632 among Python projects.
What license is miles distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.