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iory/scikit-robot

A Flexible Framework for Robot visualization and programming in Python

★170STARS
⑂34FORKS
!4ISSUES
🏆#8,923GLOBAL RANK
🔥1DAYS TRENDING
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#1,100

MOST-STARRED Python

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

scikit-robot gained 10 stars in the last 30 days, about 1 a day, and now has 170. It is about 8 years old and has averaged roughly 21 stars a year. It ranks #1,100 among Python repositories and #8,923 across all languages on GitHubRepo.

Trending Record

scikit-robot has maintained a continuous presence across global trending indexes, peaking at #8295. Below is the 30-day activity profile:

💡 Overview

scikit-robot is an open-source project written in Python: A Flexible Framework for Robot visualization and programming in Python.

Engineered for speed, consistency, and developer ease, it solves common hurdles in flexible-framework, geometry, hacktoberfest. 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 scikit-robot

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

scikit-robot 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

Production System Integration

Embed scikit-robot into Python 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 MIT license.

🚀 Getting Started

1

Install scikit-robot using your package manager: `pip install scikit-robot`

2

Initialize your project workspace or configuration file for scikit-robot.

3

Import scikit-robot into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `scikit-robot --help` to verify successful setup.

👍 Strengths

Active community backing with 170 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

iory/scikit-robot is currently ranked #8,923 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#8,902 iamfmjk/etsy Ruby ★ 171 Compare ↗
#8,902 face/activity_streams Ruby ★ 171 Compare ↗
#8,902 evan/ultrasphinx Ruby ★ 171 Compare ↗
#8,902 postfinance/topf Go ★ 171 Compare ↗
#8,902 Qbix/webserver PHP ★ 171 Compare ↗
#8,923 iory/scikit-robot This Project Python ★ 170
#8,923 richard1208/parallio TypeScript ★ 170 Compare ↗
#8,923 maiphucgiang/codebuddy2api Python ★ 170 Compare ↗
#8,923 Swttch/swttch TypeScript ★ 170 Compare ↗
#8,923 InkCanvasForClass/community C# ★ 170 Compare ↗
#8,923 joshknowles/rspec-on-rails-matchers Ruby ★ 170 Compare ↗

Frequently Asked Questions

What does scikit-robot do? +

A Flexible Framework for Robot visualization and programming in Python

What language is scikit-robot written in? +

The primary language is Python. Topics include: flexible-framework, geometry, hacktoberfest, kinematics, motion-planning.

Is scikit-robot actively maintained? +

Yes, the last recorded push was on Oct 2, 2026 with 4 open issues being tracked.

How many stars does scikit-robot have? +

scikit-robot has 170 stars and 34 forks on GitHub.

How does scikit-robot rank among GitHub repositories? +

With 170 stars, iory/scikit-robot is ranked #8,923 globally across all repositories tracked on GitHubRepo and #1,100 among Python projects.

What license is scikit-robot distributed under? +

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

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