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SciSharp/Gym.NET

openai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#.

C# ◇ gym Apache-2.0
★141STARS
⑂20FORKS
!10ISSUES
🏆#6,054GLOBAL RANK
🔥4DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for SciSharp/Gym.NET
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#408

MOST-STARRED C#

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

Gym.NET gained 10 stars in the last 30 days, about 1 a day, and now has 141. It is about 7 years old and has averaged roughly 20 stars a year. It ranks #408 among C# repositories and #6,054 across all languages on GitHubRepo.

Trending Record

Gym.NET has maintained a continuous presence across global trending indexes, peaking at #3262. Below is the 30-day activity profile:

💡 Overview

Gym.NET is an open-source project written in C#: openai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#.

Engineered for speed, consistency, and developer ease, it solves common hurdles in gym, machine-learning, openai. 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 C# 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
$ git clone https://github.com/SciSharp/Gym.NET.git
cd Gym.NET

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C# environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

Gym.NET coordinates its core functionality through a modular C# 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 Gym.NET.

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 Gym.NET using your package manager: `git clone https://github.com/SciSharp/Gym.NET.git`

2

Initialize your project workspace or configuration file for Gym.NET.

3

Import Gym.NET into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `Gym.NET --help` to verify successful setup.

👍 Strengths

Active community backing with 141 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in C# 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 C# 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 C#, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

SciSharp/Gym.NET is currently ranked #6,054 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#6,033 dpipstudio/botwave Python ★ 142 Compare ↗
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#6,033 Wunderlandmedia/HotkeyClash Swift ★ 142 Compare ↗
#6,033 MakrSas/Inferno-iOS Swift ★ 142 Compare ↗
#6,033 Leviidev/Husk Swift ★ 142 Compare ↗
#6,054 SciSharp/Gym.NET This Project C# ★ 141
#6,054 noelrappin/rails-iui Ruby ★ 141 Compare ↗
#6,054 lmacken/liveusb-creator Python ★ 141 Compare ↗
#6,054 gbif/ipt Java ★ 141 Compare ↗
#6,054 google/go-dap Go ★ 141 Compare ↗
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Frequently Asked Questions

What does Gym.NET do? +

openai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#.

What language is Gym.NET written in? +

The primary language is C#. Topics include: gym, machine-learning, openai, reinforcement-learning, scisharp.

Is Gym.NET actively maintained? +

Yes, the last recorded push was on Sep 25, 2026 with 10 open issues being tracked.

How many stars does Gym.NET have? +

Gym.NET has 141 stars and 20 forks on GitHub.

How does Gym.NET rank among GitHub repositories? +

With 141 stars, SciSharp/Gym.NET is ranked #6,054 globally across all repositories tracked on GitHubRepo and #408 among C# projects.

What license is Gym.NET distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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