lightly-ai/lightly-studio - Open Source PR Review Scorecard

LightlyStudio - The Unified Data Platform for Multimodal ML

C-Rank Grade: A (Welcoming) - 62/100

External PR Merge Rate: 76%

Response Time: 4d

First Timer Success: 50%

Frequently Asked Questions

Is lightly-ai/lightly-studio welcoming to first-time open-source contributors?

lightly-ai/lightly-studio 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 lightly-ai/lightly-studio respond to incoming external pull requests in approximately 86.9 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 62.4 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 62.4 places lightly-ai/lightly-studio in the A tier.

What is the external contributor pull request merge rate for lightly-ai/lightly-studio?

The external contributor pull request merge rate for lightly-ai/lightly-studio is 75.6%, based on public PR activity from non-core contributors.

Are there Good First Issues available in lightly-ai/lightly-studio?

lightly-ai/lightly-studio does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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lightly-ai/lightly-studio

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LightlyStudio - The Unified Data Platform for Multimodal ML

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AI Maintainer Review Guidelines

Review Persona

Empathetic Technical Mentor

Warmth Score
7.9/10
Patience Score
8.4/10
Nitpick Rate
20%

Highly welcoming maintainers in lightly-ai/lightly-studio. Prompt code reviews with positive guidance for new contributors.

Top PR Submission Do's

  • •Ensure code complies with the project coding style
  • •Keep PRs scoped to a single concern
  • •Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit PRs without linking an issue
  • •Do not break existing tests without fixing them
  • •Do not mix unrelated refactors in a single PR
Response Velocity
3 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
75.6%
High acceptance rate for external PRs

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
16 core
Highly collaborative maintainer core
Diagnostic Health HUD
75.6%
Merge Gauge
50.0%
1st-Timer
Community Vibe45/100

Embed C-Rank Badge

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

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

Active Good First Issues (5)

View on GitHub

🧠 Describe the Bug In the bulk annotation side panel, when a dropdown is highlighted it gets a green border, but only the horizontal (top and bottom) edges render clearly. The vertical left and right edges are not visible, so the highlight reads as two green lines rather than a complete outline around the control. The panel is still usable, this is a visual clarity problem, not a broken feature. Please provide screenshots before and after the fix. This will help reviewers a lot! 🔁 Steps to Reproduce No code example, this reproduces through the UI: Open bulk annotation. Select one or more images so the "Selected images" panel appears. Highlight the Annotation class dropdown so it takes the green border. Look at the left and right edges of that green border — they are not visible, while the top and bottom edges are. Expected: the green highlight border is fully visible on all four edges, enclosing the control. 📷 Screenshots The screenshot shows the highlighted "temp" drop

📅 Opened Sep 22, 2026💬 0 comments
Quality: 50/100Contribute

🧠 Describe the Bug After running the SAM3 plugin on a tag and activating its annotation source, the grid view shows no segmentation masks. Reloading the page makes them appear, so the masks are written correctly and only the grid fails to pick up the newly activated source, the view does not refetch (or re-render) when the active annotation source changes. Video: https://github.com/user-attachments/assets/e42b779e-1679-4aa0-a9de-89f83e5e08e4 🧩 Plugin Setup Reproducing this requires the SAM3 plugin, which is gated on Hugging Face: Request access to facebook/sam3. Authenticate with a read-scoped token: hf auth login Install the plugin: uv pip install "git+https://github.com/lightly-ai/lightly-studio-plugins.git#subdirectory=plugins/sam3_segmentation/" See the plugin README for full parameter documentation. 🔁 Steps to Reproduce Create a tag and select it. Run the SAM3 plugin on the tag. Activate the annotation source created by SAM3 (SAM3_auto_label by default). Look at the

📅 Opened Sep 18, 2026💬 0 comments
Quality: 50/100Contribute

🧠 Describe the Bug In the Annotation view, clicking an image no longer displays its bounding box. The overlay appears to have regressed, the boxes render elsewhere but not on click-through from the Annotation view. 🔁 Steps to Reproduce No code example, this reproduces through the UI: Open LightlyStudio and go to the Annotation view. Click an image that has object-detection annotations. No bounding box is drawn on the opened image. 🙌 Contributing Please read the contributing guide and the coding conventions before opening a PR

📅 Opened Sep 18, 2026💬 2 comments
Quality: 50/100Contribute

🧠 Describe the Bug Undoing an annotation deletion does not restore the annotation's original source, the restored annotation is assigned to the general annotation source instead. 🔁 Steps to Reproduce Delete an annotation that has a non-general annotation source. Undo the deletion. Observe the restored annotation's source. 📷 Screenshots 🙌 Contributing Please read the contributing guide and the coding conventions before opening a PR

📅 Opened Sep 18, 2026💬 0 comments
Quality: 50/100Contribute

🧠 Describe the Bug Input fields in the Distribution view don't share consistent styling. Specifically, the Values input field renders with a larger font size than the other inputs around it, so the group looks visually misaligned. All inputs in this view should use the same typographic styles. 🔁 Steps to Reproduce Index the example metadata dataset, then open the Distribution view and compare the Values input against the neighbouring inputs. # Run the bundled metadata example to index a dataset # src/lightly_studio/examples/example_metadata.py python src/lightly_studio/examples/example_metadata.py Then: Open LightlyStudio in the browser. Navigate to the Distribution view. Observe the Values input field — its font is noticeably larger than the other input fields in the same panel. Expected: all inputs in the Distribution view use the same font size and styling. Actual: the Values input uses a larger font than the rest. 📷 Screenshots 🙌 Contributing Please read the contr

📅 Opened Sep 18, 2026💬 0 comments
Quality: 50/100Contribute
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Contributor Compatibility & Review Speed Analysis for lightly-ai/lightly-studio

When evaluating whether to contribute to lightly-ai/lightly-studio, 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 lightly-ai/lightly-studio acknowledge new external contributions in approximately 3 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 75.6% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to lightly-ai/lightly-studio

01

Is lightly-ai/lightly-studio welcoming to first-time open-source contributors?

lightly-ai/lightly-studio 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 ~3 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 62.4 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 62.4 places lightly-ai/lightly-studio in the Welcoming tier.

04

What is the external contributor pull request merge rate for lightly-ai/lightly-studio?

The external pull request merge rate is 75.6%. 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 lightly-ai/lightly-studio?

lightly-ai/lightly-studio does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for lightly-ai/lightly-studio 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.