JdeRobot/RoboticsAcademy - Open Source PR Review Scorecard

Learn Robotics with JdeRobot

C-Rank Grade: A (Welcoming) - 69/100

External PR Merge Rate: 64%

Response Time: 13h

First Timer Success: 50%

Frequently Asked Questions

Is JdeRobot/RoboticsAcademy welcoming to first-time open-source contributors?

JdeRobot/RoboticsAcademy has a recorded first-timer success rate of 50.0%. Repositories ranked A typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in JdeRobot/RoboticsAcademy respond to incoming external pull requests in approximately 12.6 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 68.6 C-Rank™ score (A Tier) represent?

The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 68.6 places JdeRobot/RoboticsAcademy in the A tier.

What is the external contributor pull request merge rate for JdeRobot/RoboticsAcademy?

The external contributor pull request merge rate for JdeRobot/RoboticsAcademy is 64.1%, based on public PR activity from non-core contributors.

Are there Good First Issues available in JdeRobot/RoboticsAcademy?

JdeRobot/RoboticsAcademy currently has 2 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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Active (30d)A•Welcoming(69/100)Python

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AI Maintainer Review Guidelines

Review Persona

Active Open-Source Maintainer

Warmth Score
7.8/10
Patience Score
8.2/10
Nitpick Rate
20%

Active maintainer team in JdeRobot/RoboticsAcademy welcoming community pull requests and bug fixes.

Top PR Submission Do's

  • •Ensure code complies with repository style conventions
  • •Keep PRs focused and well-documented

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without context
  • •Do not break existing automated test suites
Response Velocity
12 hours
Standard maintainer review cycle

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
64.1%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
50.0%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
10 core
Highly collaborative maintainer core
Diagnostic Health HUD
64.1%
Merge Gauge
50.0%
1st-Timer
Community Vibe61/100

Embed C-Rank Badge

Show contributors that your repository actively reviews and merges external pull requests.

GetMerged C-Rank badge for JdeRobot/RoboticsAcademy
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/JdeRobot/RoboticsAcademy)](https://getmerged.abhishekco.de/JdeRobot/RoboticsAcademy?utm_source=github&utm_medium=badge)

Active Good First Issues (5)

View on GitHub

We would like to check that the Service Robotics course exercises work well when they are solved in direct ROS 2 mode, meaning that you write your own ROS 2 node instead of relying only on the HAL API. We want to confirm this both in Python and in C++, and we would really appreciate help from the community. The exercises we would like tested are Localized Vacuum Cleaner Autoparking Amazon Warehouse Rescue People Visual Marker Localization Laser Mapping What we are asking is simple. Pick any of these exercises, try to solve it and run it in direct ROS 2 mode using Python and also C++, and tell us how it went. If everything works we would love to hear it, and if something does not work we want to know about it. We are especially interested in three kinds of problems Anything in the documentation that is missing, outdated or unclear when you try to solve the exercise in direct ROS 2 Any import in Python or any dependency in C++ that you needed but were not able to add, or that failed t

📅 Opened Jul 8, 2026💬 6 comments
Quality: 80/100Contribute

We would like to check that the Mobile Robotics course exercises work well when they are solved in direct ROS 2 mode, meaning that you write your own ROS 2 node instead of relying only on the HAL API. We want to confirm this both in Python and in C++, and we would really appreciate help from the community. The exercises we would like tested are Basic Vacuum Cleaner Follow Line Obstacle Avoidance Global Navigation Laser Mapping Montecarlo Laser Localization What we are asking is simple. Pick any of these exercises, try to solve it and run it in direct ROS 2 mode using Python and also C++, and tell us how it went. If everything works we would love to hear it, and if something does not work we want to know about it. We are especially interested in three kinds of problems Anything in the documentation that is missing, outdated or unclear when you try to solve the exercise in direct ROS 2 Any import in Python or any dependency in C++ that you needed but were not able to add, or that fail

📅 Opened Jul 8, 2026💬 6 comments
Quality: 80/100Contribute

This is only for the new universe that has a 3d lidar, not the old one with 3 lasers. The documentation available is for the 3 lasers exercises, not the 3d lidar one. Share here any issues, not solutions, related to this exercises. Do not comment anything else other than that. This issue is not meant to be assigned to a single person, as its purpose is that multiple people test it.

📅 Opened Feb 12, 2026💬 6 comments
Quality: 70/100Contribute

Share here any issues, not solutions, related to this exercises. Do not comment anything else other than that. This issue is not meant to be assigned to a single person, as its purpose is that multiple people test it.

📅 Opened Feb 12, 2026💬 20 comments
Quality: 55/100Contribute

Share here any issues, not solutions, related to this exercises. Do not comment anything else other than that. This issue is not meant to be assigned to a single person, as its purpose is that multiple people test it.

📅 Opened Feb 12, 2026💬 7 comments
Quality: 55/100Contribute
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Contributor Compatibility & Review Speed Analysis for JdeRobot/RoboticsAcademy

When evaluating whether to contribute to JdeRobot/RoboticsAcademy, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.

Currently, maintainers of JdeRobot/RoboticsAcademy acknowledge new external contributions in approximately 12 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 64.1% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to JdeRobot/RoboticsAcademy

01

Is JdeRobot/RoboticsAcademy welcoming to first-time open-source contributors?

JdeRobot/RoboticsAcademy has a recorded first-timer success rate of 50.0%. Repositories ranked Welcoming typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~12 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 68.6 C-Rank™ score represent?

The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 68.6 places JdeRobot/RoboticsAcademy in the Welcoming tier.

04

What is the external contributor pull request merge rate for JdeRobot/RoboticsAcademy?

The external pull request merge rate is 64.1%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in JdeRobot/RoboticsAcademy?

Yes, JdeRobot/RoboticsAcademy currently has 2 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for JdeRobot/RoboticsAcademy are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.