jslee02/awesome-robotics-libraries

:sunglasses: A curated list of robotics libraries and software

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jslee02/awesome-robotics-libraries has 3k+ stars and 500+ forks on GitHub, is written in Python, and was last pushed on Oct 13, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 17 minutes ago
Type:Curated List / Learning ResourceCategory(s):Robotics & Autonomous SystemsSystems, Hardware & HPC
Added to GitGenius on September 22nd, 2026
Created on April 16th, 2016
Open Issues & Pull Requests: 4 (+0)
GitHub issues: Enabled
Number of forks: 507
Total Stargazers: 3,084 (+0)
Total Subscribers: 109 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 10.0 days
Mean response time: 271.8 days
90th percentile: 148.5 days
Tracked items: 21

Maintainer activity

1 person did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 18, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

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Issue Activity (beta)

Open issues: 4
New in 7 days: 1
Closed in 7 days: 5
Avg open age: 64 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • suggestion (25)
  • accepted (6)
  • monitoring (4)
  • maintenance (2)

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Detailed Description

Awesome Robotics Libraries is a curated list of robotics libraries and software organized by domain and capability.

The project addresses the challenge of discovering and evaluating robotics software by collecting references to libraries, simulators, and tools across the robotics ecosystem. It organizes resources into categories including dynamics simulation, inverse kinematics, machine learning, motion planning and control, optimization, robot modeling, SLAM, vision, grasping, humanoid robotics, and multiphysics. The list includes a legend indicating project maintenance status through activity indicators, helping users identify which tools remain actively developed versus those that have stalled or been archived.

Developers building robotics applications should use this list as a starting point for identifying candidate libraries rather than as a comprehensive evaluation tool. The list suits teams exploring the robotics software landscape, particularly those new to the field who need orientation across multiple problem domains. The project includes a comparisons document for certain categories, providing more detailed analysis where available, though most entries are reference links rather than detailed assessments.

The project maintains an organized structure with clear categorization across robotics domains and includes maintenance status indicators for each entry. The inclusion of a comparisons document shows attention to helping users make informed choices between alternatives in key areas.