deeplethe/fde-gym
The online judge for the LLM era. Every case is a real customer delivery: you work it with a coding agent, and your system is judged once it is live.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/deeplethe/fde-gym?utm_source=readme_chart)Compact Shields-style badges for your README header. Shows real-time stars and global ranking.
[](https://githubrepo.cloud/repo/deeplethe/fde-gym?utm_source=readme_badge) [](https://githubrepo.cloud/repo/deeplethe/fde-gym?utm_source=readme_badge) [](https://githubrepo.cloud/repo/deeplethe/fde-gym?utm_source=readme_badge)Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#1,690
MOST-STARRED TypeScript
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
fde-gym gained 10 stars in the last 30 days, about 1 a day, and now has 62. It is about 1 year old and has averaged roughly 62 stars a year. It ranks #1,690 among TypeScript repositories and #16,184 across all languages on GitHubRepo.
Trending Record
1
DAYS ON TRENDING
#14825
BEST RANK
Oct 12, 2026
FIRST APPEARANCE
Active
STATUS TODAY
fde-gym has maintained a continuous presence across global trending indexes, peaking at #14825. Below is the 30-day activity profile:
💡 Overview
fde-gym is an open-source project written in TypeScript: The online judge for the LLM era. Every case is a real customer delivery: you work it with a coding agent, and your system is judged once it is live.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-evaluation, ai-agents, benchmark. 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 TypeScript 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
$ npm install fde-gym⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Node.js >= 18, npm, pnpm or bun
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
fde-gym coordinates its core functionality through a modular TypeScript 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 fde-gym.
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 fde-gym using your package manager: `npm install fde-gym`
Initialize your project workspace or configuration file for fde-gym.
Import fde-gym into your codebase or invoke it directly from your terminal.
Execute your test suite or run `fde-gym --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
deeplethe/fde-gym is currently ranked #16,184 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #16,157 | peterfriese/system-one-foundation-models | Swift | ★ 63 | Compare ↗ |
| #16,157 | lynnswap/ABIBridge | Swift | ★ 63 | Compare ↗ |
| #16,157 | rit3zh/expo-motion-blur | TypeScript | ★ 63 | Compare ↗ |
| #16,157 | Giton22/herald | Kotlin | ★ 63 | Compare ↗ |
| #16,157 | cth9191/animate | JavaScript | ★ 63 | Compare ↗ |
| #16,184 | deeplethe/fde-gym This Project | TypeScript | ★ 62 | |
| #16,184 | jasonroelofs/rbplusplus | Ruby | ★ 62 | Compare ↗ |
| #16,184 | topfunky/google-checkout | Ruby | ★ 62 | Compare ↗ |
| #16,184 | tibbe/hyena | Haskell | ★ 62 | Compare ↗ |
| #16,184 | qcodo/qcodo | PHP | ★ 62 | Compare ↗ |
| #16,184 | darius/languagetoys | Python | ★ 62 | Compare ↗ |
Frequently Asked Questions
What does fde-gym do? +
The online judge for the LLM era. Every case is a real customer delivery: you work it with a coding agent, and your system is judged once it is live.
What language is fde-gym written in? +
The primary language is TypeScript. Topics include: agent-evaluation, ai-agents, benchmark, coding-agent, docker.
Is fde-gym actively maintained? +
Yes, the last recorded push was on Oct 11, 2026 with 0 open issues being tracked.
How many stars does fde-gym have? +
fde-gym has 62 stars and 0 forks on GitHub.
How does fde-gym rank among GitHub repositories? +
With 62 stars, deeplethe/fde-gym is ranked #16,184 globally across all repositories tracked on GitHubRepo and #1,690 among TypeScript projects.
What license is fde-gym distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
