marimo-team/marimo - Open Source PR Review Scorecard

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

C-Rank Grade: A (Welcoming) - 67/100

External PR Merge Rate: 73%

Response Time: 2d

First Timer Success: 53%

Frequently Asked Questions

Is marimo-team/marimo welcoming to first-time open-source contributors?

marimo-team/marimo has a recorded first-timer success rate of 52.9%. 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 marimo-team/marimo respond to incoming external pull requests in approximately 39.3 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 67.0 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 67.0 places marimo-team/marimo in the A tier.

What is the external contributor pull request merge rate for marimo-team/marimo?

The external contributor pull request merge rate for marimo-team/marimo is 73.3%, based on public PR activity from non-core contributors.

Are there Good First Issues available in marimo-team/marimo?

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

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marimo-team/marimo

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Active (30d)A•Welcoming(67/100)Python

A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.

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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 marimo-team/marimo. 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
1 days+
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
73.3%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
52.9%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
83 core
Highly collaborative maintainer core
Diagnostic Health HUD
73.3%
Merge Gauge
52.9%
1st-Timer
Community Vibe46/100

Embed C-Rank Badge

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

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

Active Good First Issues (3)

View on GitHub

Description Marimo command mode supports Esc, then b to create a new Python cell below the focused cell. Creating a SQL cell requires an additional conversion step: Esc b Cmd/Ctrl + Shift + L It would be useful to have a command-mode shortcut such as Esc, then q that directly creates and focuses a new SQL cell below the current cell. Hex supports this interaction pattern: in command mode, q creates a SQL cell. Its keyboard-shortcut documentation describes command mode and notes that its Add Cell menu exposes shortcuts for creating specific cell types. Suggested solution Add a configurable action such as command.createSQLCellAfter, with q as its default command-mode binding. Expected behavior: Press Esc to enter command mode. Press q. Create a new SQL cell immediately below the selected cell. Focus the new SQL editor. Do not execute the currently selected cell. Continue using the existing default SQL engine and output settings. Expose the action in the keyboard-shortcut settings so u

📅 Opened Aug 28, 2026💬 2 comments
Quality: 50/100Contribute

Describe the bug The integrated terminal doesn't show up anywhere in the editor — not in the Developer Panel, and not in the Sidebar either. I don't see any config option disabling the terminal (e.g. no enable_terminal = false), so this doesn't seem to be a configuration issue. Will you submit a PR? Yes Environment Environment { "marimo": "0.23.15", "editable": false, "location": "~/PycharmProjects/DashFisioanimal/.venv/Lib/site-packages/marimo", "OS": "Windows", "OS Version": "11", "Processor": "Intel64 Family 6 Model 141 Stepping 1, GenuineIntel", "Python Version": "3.12.13", "Locale": "pt_BR", "Binaries": { "Browser": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/151.0.0.0 Safari/537.36", "Node": "v24.11.0", "uv": "0.11.26 (x86_64-pc-windows-msvc)" }, "Dependencies": { "click": "8.4.2", "docutils": "0.23", "itsdangerous": "2.2.0", "jedi": "0.19.2", "markdown": "3.10.2", "narw

📅 Opened Jul 24, 2026💬 2 comments
Quality: 40/100Contribute

Summary quack is a new protocol that allows a duckdb instance to connect to a duckdb server. This is currently not supported in the Data source viewer Details when using quack, the duckdb client attaches to the server. It then becomes available as an attached database to the client. As seen in the screenshot, the server remote can be accessed by the client in the query FROM remote.hello Full notebook import marimo __generated_with = "0.23.6" app = marimo.App(width="medium") @app.cell def _(): import marimo as mo import duckdb import dlt return (duckdb,) @app.cell def _(duckdb): server_con = duckdb.connect("quack.duckdb") return (server_con,) @app.cell def _(duckdb): client_con = duckdb.connect(":memory:") return (client_con,) @app.cell def _(server_con): server_con.execute("INSTALL quack FROM core_nightly;LOAD quack;") server_con.execute("CALL quack_serve('quack:localhost', token='fooz');") return @app.cell def _(server_con):

📅 Opened May 15, 2026💬 2 comments
Quality: 70/100Contribute
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Contributor Compatibility & Review Speed Analysis for marimo-team/marimo

When evaluating whether to contribute to marimo-team/marimo, 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 marimo-team/marimo acknowledge new external contributions in approximately 1 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 73.3% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to marimo-team/marimo

01

Is marimo-team/marimo welcoming to first-time open-source contributors?

marimo-team/marimo has a recorded first-timer success rate of 52.9%. 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 ~1 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 67.0 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 67.0 places marimo-team/marimo in the Welcoming tier.

04

What is the external contributor pull request merge rate for marimo-team/marimo?

The external pull request merge rate is 73.3%. 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 marimo-team/marimo?

Yes, marimo-team/marimo 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 marimo-team/marimo 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.