rclasen/GoldenCheetah
Cycling Performance Software for Linux, Mac OS X, and Windows
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#2
MOST-STARRED Standard ML
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
GoldenCheetah gained 10 stars in the last 30 days, about 1 a day, and now has 2. It is about 17 years old and has averaged roughly 0 stars a year. It ranks #2 among Standard ML repositories and #29,767 across all languages on GitHubRepo.
Trending Record
20
DAYS ON TRENDING
#100
BEST RANK
Jan 15, 2010
FIRST APPEARANCE
Active
STATUS TODAY
GoldenCheetah has maintained a continuous presence across global trending indexes, peaking at #100. Below is the 30-day activity profile:
💡 Overview
GoldenCheetah is an open-source project written in Standard ML: Cycling Performance Software for Linux, Mac OS X, and Windows.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Standard ML. 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 Standard ML 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/rclasen/GoldenCheetah.git
cd GoldenCheetah⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Standard ML environment and standard tooling
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
GoldenCheetah coordinates its core functionality through a modular Standard ML 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 GoldenCheetah into Standard ML 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 GPL-2.0 license.
🚀 Getting Started
Install GoldenCheetah using your package manager: `git clone https://github.com/rclasen/GoldenCheetah.git`
Initialize your project workspace or configuration file for GoldenCheetah.
Import GoldenCheetah into your codebase or invoke it directly from your terminal.
Execute your test suite or run `GoldenCheetah --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Standard ML, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
rclasen/GoldenCheetah is currently ranked #29,767 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #27,893 | zetta/Bender | PHP | ★ 3 | Compare ↗ |
| #27,893 | nathos/iui | JavaScript | ★ 3 | Compare ↗ |
| #27,893 | kritik/2dc_jqgrid_rails3 | JavaScript | ★ 3 | Compare ↗ |
| #27,893 | rjmunro/freej-python | Python | ★ 3 | Compare ↗ |
| #27,893 | fatalmind/hatools | C | ★ 3 | Compare ↗ |
| #29,767 | rclasen/GoldenCheetah This Project | Standard ML | ★ 2 | |
| #29,767 | pdsphil/ruby-merlin | Ruby | ★ 2 | Compare ↗ |
| #29,767 | daaku/tempdir | Ruby | ★ 2 | Compare ↗ |
| #29,767 | morgs/poll-builder | Python | ★ 2 | Compare ↗ |
| #29,767 | locusf/monotooth | HTML | ★ 2 | Compare ↗ |
| #29,767 | xman/utility | Shell | ★ 2 | Compare ↗ |
Frequently Asked Questions
What does GoldenCheetah do? +
Cycling Performance Software for Linux, Mac OS X, and Windows
What language is GoldenCheetah written in? +
The primary language is Standard ML. Topics include: software.
Is GoldenCheetah actively maintained? +
Yes, the last recorded push was on Nov 13, 2015 with 0 open issues being tracked.
How many stars does GoldenCheetah have? +
GoldenCheetah has 2 stars and 1 forks on GitHub.
How does GoldenCheetah rank among GitHub repositories? +
With 2 stars, rclasen/GoldenCheetah is ranked #29,767 globally across all repositories tracked on GitHubRepo and #2 among Standard ML projects.
What license is GoldenCheetah distributed under? +
The repository reports a GPL-2.0 license. Always verify the repository LICENSE file for legal terms.
