kedro-org/kedro-plugins - Open Source PR Review Scorecard

First-party plugins maintained by the Kedro team.

C-Rank Grade: A (Welcoming) - 60/100

External PR Merge Rate: 57%

Response Time: 3h

First Timer Success: 75%

Frequently Asked Questions

Is kedro-org/kedro-plugins welcoming to first-time open-source contributors?

kedro-org/kedro-plugins has a recorded first-timer success rate of 75.0%. 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 kedro-org/kedro-plugins respond to incoming external pull requests in approximately 3.3 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 60.4 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 60.4 places kedro-org/kedro-plugins in the A tier.

What is the external contributor pull request merge rate for kedro-org/kedro-plugins?

The external contributor pull request merge rate for kedro-org/kedro-plugins is 57.1%, based on public PR activity from non-core contributors.

Are there Good First Issues available in kedro-org/kedro-plugins?

kedro-org/kedro-plugins currently has 1 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

kedro-org
kedro-org/kedro-pluginsA•Welcoming119
GitHub
Back to Explorer
kedro-org

kedro-org/kedro-plugins

119
InactiveA•Welcoming(60/100)Python

First-party plugins maintained by the Kedro team.

GitHub
Compare••
Jump to:

AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
8.5/10
Patience Score
8.6/10
Nitpick Rate
30%

Highly welcoming maintainers in kedro-org/kedro-plugins. Prompt code reviews with positive guidance for new contributors.

What Contributors Actually Say

Discussions in kedro-org/kedro-plugins focus heavily on practical implementation feedback, code formatting standards, and issue reproduction details.

Hidden Friction Signals

Unlinked PRs without issue context and changes that fail automated test suites face the highest review friction.

Unwritten Rules

  • •1) Keep PR scope strictly aligned with the linked issue.
  • •2) Ensure local linters pass before opening a review.
  • •3) Maintain full test coverage for modified logic.

Top PR Submission Do's

  • •Add or update tests for changed behavior before requesting review
  • •Update docs or README when behavior changes
  • •Call out API, migration, or compatibility impact clearly

Top PR Friction Pitfalls (Don'ts)

  • •Do not leave requested test coverage unresolved
  • •Do not ship user-facing changes without matching docs
  • •Do not hide breaking changes in implementation details
Response Velocity
3 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
57.1%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
75.0%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
17 core
Highly collaborative maintainer core
Diagnostic Health HUD
57.1%
Merge Gauge
75.0%
1st-Timer
Community Vibe73/100

Embed C-Rank Badge

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

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

Active Good First Issues (2)

View on GitHub

Description Update docstrings to point out that filepath type is str | os.PathLike, not just str. For contributors: feel free to open a PR per dataset type for ease of review. Sub-tasks Do the above for all dataset groups: API Biosequence (#1336) Dask (#1332) Databricks Email (#1336) Geopandas (#1329) Holoviews (#1334) Huggingface Ibis (#1487) JSON (#1324) Langchain Matlab Matplotlib NetworkX OpenXML (#1331) Pandas Partitions (#1495) Pickle (#1324) Pillow Plotly Polars (#1330) Redis (#1496) Snowflake Spark (#1423) SVMLight TensorFlow (#1477) Text (#1324) YAML (#1324)

📅 Opened Feb 17, 2026💬 13 comments
Quality: 70/100Contribute

Description Testing that os.PathLike objects work and fix if needed. The unit tests currently cast paths to string, but the doctests getting included as part of kedro-org/kedro#2287 are probably doing a fair job of ensuring this. For contributors: feel free to open a PR per dataset type for ease of review. Sub-tasks Do the above for all dataset groups: To be done Dask Matplotlib Partitions (#1501) Completed (can use PRs as inspiration) API Biosequence (#1336) Holoviews (#1334) JSON (#1324) Pickle (#1324) Polars (#1337) Plotly (#1375) Text (#1324) YAML (#1324) SVMLight (#1471) Matlab (#1480) NetworkX (#1467) Pillow (#1443) Spark (#1423) Pandas (#1404) TensorFlow (#1477) OpenXML (#1478) (#1479) Ibis (#1487) Databricks Huggingface Langchain Snowflake Redis (#1496) Email (#1488) Geopandas (#1489)

📅 Opened Feb 17, 2026💬 13 comments
Quality: 70/100Contribute
Looking for more Python beginner tasks?Explore Python GFI

Contributor Community Vibe Feedback

Rate what actually matters after opening a pull request here.

Have you contributed to this repo?

Rate your first-hand PR experience (review speed, maintainer responsiveness, and onboarding ease) to help other contributors.

3 ratings required
Maintainer helpfulness
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for kedro-org/kedro-plugins

When evaluating whether to contribute to kedro-org/kedro-plugins, 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 kedro-org/kedro-plugins acknowledge new external contributions in approximately 3 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 57.1% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to kedro-org/kedro-plugins

01

Is kedro-org/kedro-plugins welcoming to first-time open-source contributors?

kedro-org/kedro-plugins has a recorded first-timer success rate of 75.0%. 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 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 60.4 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 60.4 places kedro-org/kedro-plugins in the Welcoming tier.

04

What is the external contributor pull request merge rate for kedro-org/kedro-plugins?

The external pull request merge rate is 57.1%. 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 kedro-org/kedro-plugins?

Yes, kedro-org/kedro-plugins currently has 1 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 kedro-org/kedro-plugins 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.