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CrankAddict/section-11

Evidence-based AI coach for endurance training. Protocol-driven. Deterministic guidance for any LLM, with Intervals.icu integration.

Python ◇ ai-coach MIT
★153STARS
⑂81FORKS
!1ISSUES
🏆#5,805GLOBAL RANK
🔥3DAYS TRENDING
🚀
Maintainer Growth Kit for section-11

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Star History

Continuous Observations
Interactive star growth chart for CrankAddict/section-11
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#663

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

section-11 gained 10 stars in the last 30 days, about 1 a day, and now has 153. It is about 1 year old and has averaged roughly 153 stars a year. It ranks #663 among Python repositories and #5,805 across all languages on GitHubRepo.

Trending Record

section-11 has maintained a continuous presence across global trending indexes, peaking at #4101. Below is the 30-day activity profile:

💡 Overview

section-11 is an open-source project written in Python: Evidence-based AI coach for endurance training. Protocol-driven. Deterministic guidance for any LLM, with Intervals.icu integration.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-coach, ai-coaching, cycling. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install section-11

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

section-11 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

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with section-11.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install section-11 using your package manager: `pip install section-11`

2

Initialize your project workspace or configuration file for section-11.

3

Import section-11 into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `section-11 --help` to verify successful setup.

👍 Strengths

Active community backing with 153 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 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

CrankAddict/section-11 is currently ranked #5,805 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#5,785 qntx/openai TypeScript ★ 154 Compare ↗
#5,785 looptroop-ai/LoopTroop TypeScript ★ 154 Compare ↗
#5,785 CHANG-JUI-LIN/Yuedu-reader Swift ★ 154 Compare ↗
#5,785 cechout/fluent-sensors C# ★ 154 Compare ↗
#5,785 dawnop/dawn-lang Python ★ 154 Compare ↗
#5,805 CrankAddict/section-11 This Project Python ★ 153
#5,805 djmuhlestein/fx2lib C ★ 153 Compare ↗
#5,805 yolk/biggs Ruby ★ 153 Compare ↗
#5,805 getsentry/sentry-fastlane-plugin Ruby ★ 153 Compare ↗
#5,805 cuikp/AvRichTextBox C# ★ 153 Compare ↗
#5,805 valkey-io/valkey-swift Swift ★ 153 Compare ↗

Frequently Asked Questions

What does section-11 do? +

Evidence-based AI coach for endurance training. Protocol-driven. Deterministic guidance for any LLM, with Intervals.icu integration.

What language is section-11 written in? +

The primary language is Python. Topics include: ai-coach, ai-coaching, cycling, cycling-coach, deterministic-ai.

Is section-11 actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 1 open issues being tracked.

How many stars does section-11 have? +

section-11 has 153 stars and 81 forks on GitHub.

How does section-11 rank among GitHub repositories? +

With 153 stars, CrankAddict/section-11 is ranked #5,805 globally across all repositories tracked on GitHubRepo and #663 among Python projects.

What license is section-11 distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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