galaxyproject/training-material
A collection of Galaxy-related training material
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+10
STARS · LAST 30 DAYS
1
PER DAY
#16
MOST-STARRED HTML
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +6 | +22 | +55 |
training-material gained 10 stars in the last 30 days, about 1 a day, and now has 368. It is about 11 years old and has averaged roughly 33 stars a year. It ranks #16 among HTML repositories and #9,457 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#9285
BEST RANK
Oct 13, 2026
FIRST APPEARANCE
Active
STATUS TODAY
training-material has maintained a continuous presence across global trending indexes, peaking at #9285. Below is the 30-day activity profile:
💡 Overview
training-material is an open-source project written in HTML: A collection of Galaxy-related training material.
Engineered for speed, consistency, and developer ease, it solves common hurdles in chip-seq, hacktoberfest, materials. 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 HTML 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/galaxyproject/training-material.git
cd training-material⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
HTML environment and standard tooling
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
training-material coordinates its core functionality through a modular HTML 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 training-material.
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
Install training-material using your package manager: `git clone https://github.com/galaxyproject/training-material.git`
Initialize your project workspace or configuration file for training-material.
Import training-material into your codebase or invoke it directly from your terminal.
Execute your test suite or run `training-material --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with HTML, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
galaxyproject/training-material is currently ranked #9,457 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #9,450 | thegreenter/greenter | PHP | ★ 369 | Compare ↗ |
| #9,450 | btcpayserver/NBXplorer | C# | ★ 369 | Compare ↗ |
| #9,450 | open-telemetry/opentelemetry-swift | Swift | ★ 369 | Compare ↗ |
| #9,450 | matter-js/matterjs-server | TypeScript | ★ 369 | Compare ↗ |
| #9,450 | yappologistic/Sung | C++ | ★ 369 | Compare ↗ |
| #9,457 | galaxyproject/training-material This Project | HTML | ★ 368 | |
| #9,457 | defunkt/rip | Ruby | ★ 368 | Compare ↗ |
| #9,457 | mdeering/gravatar_image_tag | Ruby | ★ 368 | Compare ↗ |
| #9,457 | markstory/asset_compress | PHP | ★ 368 | Compare ↗ |
| #9,457 | ousnius/BodySlide-and-Outfit-Studio | C++ | ★ 368 | Compare ↗ |
| #9,457 | jamorham/xDrip-plus | Java | ★ 368 | Compare ↗ |
Frequently Asked Questions
What does training-material do? +
A collection of Galaxy-related training material
What language is training-material written in? +
The primary language is HTML. Topics include: chip-seq, hacktoberfest, materials, metagenomics, ngs.
Is training-material actively maintained? +
Yes, the last recorded push was on Oct 13, 2026 with 398 open issues being tracked.
How many stars does training-material have? +
training-material has 368 stars and 1,102 forks on GitHub.
How does training-material rank among GitHub repositories? +
With 368 stars, galaxyproject/training-material is ranked #9,457 globally across all repositories tracked on GitHubRepo and #16 among HTML projects.
What license is training-material distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
