TabularisDB/tabularis - Open Source PR Review Scorecard

Open-source desktop SQL workspace for PostgreSQL, MySQL/MariaDB, SQLite and 15+ more databases like DuckDB, ClickHouse, Redis and Firestore. Built-in MCP server for Claude, Cursor and Devin, SQL notebooks and visual EXPLAIN.

C-Rank Grade: A (Welcoming) - 64/100

External PR Merge Rate: 88%

Response Time: 4d

First Timer Success: 81%

Frequently Asked Questions

Is TabularisDB/tabularis welcoming to first-time open-source contributors?

TabularisDB/tabularis has a recorded first-timer success rate of 80.6%. 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 TabularisDB/tabularis respond to incoming external pull requests in approximately 89.2 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 63.7 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 63.7 places TabularisDB/tabularis in the A tier.

What is the external contributor pull request merge rate for TabularisDB/tabularis?

The external contributor pull request merge rate for TabularisDB/tabularis is 88.2%, based on public PR activity from non-core contributors.

Are there Good First Issues available in TabularisDB/tabularis?

TabularisDB/tabularis currently has 7 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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TabularisDB/tabularis

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AWelcoming(64/100)TypeScript

Open-source desktop SQL workspace for PostgreSQL, MySQL/MariaDB, SQLite and 15+ more databases like DuckDB, ClickHouse, Redis and Firestore. Built-in MCP server for Claude, Cursor and Devin, SQL notebooks and visual EXPLAIN.

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
9.5/10
Patience Score
9.2/10
Nitpick Rate
30%

Highly welcoming maintainers in TabularisDB/tabularis. 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
88.2%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
80.6%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
24 core
Highly collaborative maintainer core
Diagnostic Health HUD
88.2%
Merge Gauge
80.6%
1st-Timer
Community Vibe59/100

Embed C-Rank Badge

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GetMerged C-Rank badge for TabularisDB/tabularis
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Active Good First Issues (5)

View on GitHub

How the registry works today The plugin registry is a single static plugins/registry.json file checked into the tabularis-website repo. Each plugin is one entry, each version is one block under releases:, and every asset URL points at a GitHub Releases download on the plugin author's repo. The app reads this JSON at install time. What this means in practice: Adding a new plugin means opening a PR on the website repo. I review and merge. Shipping a new version of an existing plugin means another PR. Same flow. The plugin author has no way to publish on their own schedule. There's no "I own this plugin id" — it's whatever the JSON says. There are no download numbers. We don't know which plugins anyone uses. There's no validation beyond "the JSON parsed and I trusted the PR." This worked while the registry had three plugins and one author. It does not scale to an actual ecosystem. Where we want to go A dedicated registry platform, hosted on a subdomain of tabularis.dev, where: Plugin

📅 Opened May 14, 2026💬 1 comment
Quality: 80/100Contribute

I'm a backend dev. I built most of the current UI by eye, without any design background. It works, but it looks like what it is: a frontend assembled one modal at a time, with colors and spacing picked on the spot. Some examples of what I mean: the logo is a placeholder I never replaced the color palette grew organically. The CSS variables in src/index.css (bg-base, bg-elevated, text-primary, etc.) are an attempt to centralize it, but the values themselves were chosen by trial and error spacing is inconsistent across pages. You'll find p-3, p-4, p-5 on similar-looking containers depending on which file I was in that day button, input and modal styles drift between the Connection modal, the Settings page, the plugin modals and the query editor toolbar icons (lucide) get a different size or stroke depending on the component light/dark themes are kept in sync manually, so they fall out of sync What I'd like to do, eventually: a real logo, in the sizes the app actually needs (titlebar,

📅 Opened May 14, 2026💬 3 comments
Quality: 80/100Contribute

SQL Server driver — implementation roadmap & call for contributors Status Phase 1 is done on feat/sql-server. Clean-room tiberius + deadpool, peer to MySQL / PostgreSQL / SQLite. Not merged to main. Not in any released build. The branch squashes into main when Phase 2 closes via #149. Phase 2 (editing + TLS + composite keys) is open for contribution. Phase 3 (DDL + EXPLAIN + Azure AD) is on the roadmap. 471 Rust tests pass, zero regressions on the existing drivers. Contributors: branch off feat/sql-server, not main. Target your PR at feat/sql-server, not main. Phase 1 — done on feat/sql-server Driver registered in src-tauri/src/lib.rs, selectable from the Connection modal readonly: true manifest (INSERT / UPDATE / DELETE hidden in UI during the preview) Pool built on deadpool + a custom tiberius::Manager (src-tauri/src/drivers/sqlserver/pool.rs) Schema discovery via sys.* + INFORMATION_SCHEMA.* (tables / columns / FK / indexes / views / routines) execute_query with dialect-aware p

📅 Opened Apr 23, 2026💬 8 comments
Quality: 70/100Contribute

[Phase 2] Flip driver manifest to editing-ready (closes Phase 2) Part of the SQL Server Phase 2 epic #150. Blocked by #ISSUE_1, #ISSUE_2, #ISSUE_3, #ISSUE_4, #ISSUE_5 — should be the last PR of Phase 2. The driver isn't on main. Code lives on feat/sql-server and isn't in any release. This PR is the close-out — once it lands on feat/sql-server, the whole branch squashes into main. Once all the backend + frontend Phase 2 work has landed, this PR re-enables editing in the UI by flipping capability flags in the driver manifest. Should be a tiny diff + a thorough manual QA pass. Task Backend In src-tauri/src/drivers/sqlserver/mod.rs::SqlServerDriver::new: DriverCapabilities { // ... alter_column: false, // keep false — DDL generation is Phase 3 create_foreign_keys: false, // keep false — DDL generation is Phase 3 manage_tables: true, // was false ← change readonly: false, // was true ← change } Bump the driver version: version: "0.

📅 Opened Apr 23, 2026💬 1 comment
Quality: 70/100Contribute

[Phase 2] Frontend: DataGrid + Editor + SchemaDiagram composite-PK support Part of the SQL Server Phase 2 epic #150. Depends on #ISSUE_2 (backend CRUD) and #ISSUE_3 (FK aggregation). The driver isn't on main. Code lives on feat/sql-server and isn't in any release. Check that branch out, branch off it, target your PR at it — not at main. The whole thing squashes into main when Phase 2 closes (#149). Once the backend supports composite PKs and aggregated FKs, three React components need to carry the new identifier shape through the UI. Task 1. src/components/ui/DataGrid.tsx (≈ lines 65–84, 400–418) Add a new optional prop: pkColumns?: string[]; // composite; overrides `pkColumn` when provided When present and > 1 columns, the row-edit handlers (~ lines 400–418) must build pk_cols[] / pk_vals[] from the row instead of a single pkCol / pkVal, and pass them to the invoke calls. When pkColumns?.length === 1 or missing → legacy behaviour unchanged. 2. src/pages/Editor.tsx (≈ l

📅 Opened Apr 23, 2026💬 3 comments
Quality: 80/100Contribute
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Contributor Compatibility & Review Speed Analysis for TabularisDB/tabularis

When evaluating whether to contribute to TabularisDB/tabularis, 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 TabularisDB/tabularis acknowledge new external contributions in approximately 3 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 88.2% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to TabularisDB/tabularis

01

Is TabularisDB/tabularis welcoming to first-time open-source contributors?

TabularisDB/tabularis has a recorded first-timer success rate of 80.6%. 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 63.7 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 63.7 places TabularisDB/tabularis in the Welcoming tier.

04

What is the external contributor pull request merge rate for TabularisDB/tabularis?

The external pull request merge rate is 88.2%. 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 TabularisDB/tabularis?

Yes, TabularisDB/tabularis currently has 7 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 TabularisDB/tabularis 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.