tursodatabase/turso - Open Source PR Review Scorecard

A SQL database in Rust: SQLite-compatible, now also speaking Postgres (experimental). The LLVM of databases.

C-Rank Grade: A (Welcoming) - 63/100

External PR Merge Rate: 53%

Response Time: 18h

First Timer Success: 29%

Frequently Asked Questions

Is tursodatabase/turso welcoming to first-time open-source contributors?

tursodatabase/turso has a recorded first-timer success rate of 29.2%. 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 tursodatabase/turso respond to incoming external pull requests in approximately 18.1 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 62.7 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 62.7 places tursodatabase/turso in the A tier.

What is the external contributor pull request merge rate for tursodatabase/turso?

The external contributor pull request merge rate for tursodatabase/turso is 52.6%, based on public PR activity from non-core contributors.

Are there Good First Issues available in tursodatabase/turso?

tursodatabase/turso currently has 11 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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tursodatabase/turso

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Active (30d)A•Welcoming(63/100)Rust

A SQL database in Rust: SQLite-compatible, now also speaking Postgres (experimental). The LLVM of databases.

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AI Maintainer Review Guidelines

Review Persona

Strict Quality Architect

Warmth Score
6.6/10
Patience Score
7.2/10
Nitpick Rate
43%

Rigorous architecture standards (66% critical review signals). Ensure PRs strictly follow guidelines before requesting review in tursodatabase/turso.

Top PR Submission Do's

  • •Add unit tests with >80% coverage for modified code paths
  • •Run repository linter and code formatters locally before pushing
  • •Link relevant GitHub issue ID in PR description pre-flight checklist

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without referencing an existing issue
  • •Do not mix refactoring and feature logic into a single commit
  • •Do not ping maintainers repeatedly within 24 hours of opening
Response Velocity
18 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
52.6%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
29.2%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
54 core
Highly collaborative maintainer core
Diagnostic Health HUD
52.6%
Merge Gauge
29.2%
1st-Timer
Community Vibe46/100

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GetMerged C-Rank badge for tursodatabase/turso
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Active Good First Issues (5)

View on GitHub

In the Github actions workflow, we keep downloading the dist tool all the time, which often results in network timeouts. Let's vendor or cache the dependency instead.

📅 Opened Apr 7, 2026💬 0 comments
Quality: 55/100Contribute

The docs provide two distinct ways of using uuid in tables for a PK. The first is to have a STRICT table with uuid defined as the column type (what I would ideally love to have): https://docs.turso.tech/sql-reference/data-types CREATE TABLE events ( id uuid PRIMARY KEY, name varchar(100), event_date date, is_active boolean DEFAULT 1, metadata json ) STRICT; INSERT INTO events VALUES ( uuid4(), 'Product Launch', '2025-03-15', 1, '{"venue": "online"}' ); This example does not work as of version 0.5.1. I get the following error: Error: Runtime error: cannot store BLOB value in TEXT column events.id (19) The docs also don't state how I would reference this ID as a FK in another table. Would it be BLOB, TEXT or UUID? In the second example in the docs, the table is STRICT and the id PK is typed as BLOB. https://docs.turso.tech/sql-reference/extensions#examples -- Generate UUIDs SELECT uuid4_str(); -- '550e8400-e29b-41d4-a716-446655440000' SELECT uui

📅 Opened Mar 31, 2026💬 2 comments
Quality: 70/100Contribute

Those introduced here: #5254 and #5729. The types are quite rich, support a lot of things. We must ensure vacuum into supports all these. While at it, we must also make sure that vector types work with vacuum into if they work out of the box, lets add tests.

📅 Opened Mar 12, 2026💬 2 comments
Quality: 55/100Contribute

The source db can be either encrypted or non encrypted. If the destination URI mentions encryption params, then it should produce an encrypted db. The tests also should make sure that db hash matches post vacuum. If the source is already encrypted, then we should also that we are able to vacuum into another encrypted db but with different cipher settings. The URI params should be like existing one: ?cipher=aegis256&hexkey=b1bbfda4f589dc9daaf004fe21111e00dc00c98237102f5c7002a5669fc76327

📅 Opened Mar 11, 2026💬 2 comments
Quality: 70/100Contribute

Description PRAGMA table_info strips parenthesized type parameters from column type declarations. SQLite preserves the complete type string exactly as written. Reproducer CREATE TABLE t( a VARCHAR(100), b CHAR(50), c DECIMAL(10,2), d NUMERIC(5,3), e FLOAT(24), f NVARCHAR(200) ); PRAGMA table_info(t); -- Turso type column: VARCHAR, CHAR, DECIMAL, NUMERIC, FLOAT, NVARCHAR -- SQLite type column: VARCHAR(100), CHAR(50), DECIMAL(10,2), NUMERIC(5,3), FLOAT(24), NVARCHAR(200) Per SQLite documentation: the "type" column reports the declared type of the column. The schema parser or column metadata storage strips the parenthesized parameters. This issue brought to you by Mikaël and Claude Code.

📅 Opened Mar 6, 2026💬 3 comments
Quality: 70/100Contribute
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Contributor Compatibility & Review Speed Analysis for tursodatabase/turso

When evaluating whether to contribute to tursodatabase/turso, 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 tursodatabase/turso acknowledge new external contributions in approximately 18 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 52.6% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to tursodatabase/turso

01

Is tursodatabase/turso welcoming to first-time open-source contributors?

tursodatabase/turso has a recorded first-timer success rate of 29.2%. 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 ~18 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 62.7 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 62.7 places tursodatabase/turso in the Welcoming tier.

04

What is the external contributor pull request merge rate for tursodatabase/turso?

The external pull request merge rate is 52.6%. 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 tursodatabase/turso?

Yes, tursodatabase/turso currently has 11 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 tursodatabase/turso 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.