TabularisDB/tabularis - Open Source PR Review Scorecard

Open-source desktop SQL workspace with 3 built-in database drivers and 16 shipped plugins, including SQL Server, DuckDB, ClickHouse and Redis. Built-in MCP server for Claude, Cursor and Devin, SQL notebooks and visual EXPLAIN.

C-Rank Grade: A (Welcoming) - 66/100

External PR Merge Rate: 85%

Response Time: 4d

First Timer Success: 85%

Frequently Asked Questions

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

TabularisDB/tabularis has a recorded first-timer success rate of 85.3%. 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 84.4 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 66.3 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 66.3 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 84.8%, 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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InactiveA•Welcoming(66/100)TypeScript

Open-source desktop SQL workspace with 3 built-in database drivers and 16 shipped plugins, including SQL Server, DuckDB, ClickHouse and Redis. 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
84.8%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
85.3%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
32 core
Highly collaborative maintainer core
Diagnostic Health HUD
84.8%
Merge Gauge
85.3%
1st-Timer
Community Vibe60/100

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

Active Good First Issues (5)

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Describe the bug On a PostgreSQL connection, when you confirm the schema selection for the first time with two or more schemas (e.g. "Select All" with public and sales), one of the schemas shows up empty in the sidebar: TABLES (0), No tables found, ROUTINES (0), while the other one is loaded correctly. The backend did return the data, so the problem is only in the frontend state. The schema stays empty until you collapse and expand it again, which triggers a new load. It happens with both the built-in PostgreSQL driver and the PostgreSQL plugin. To Reproduce Create a PostgreSQL database with at least two schemas that have objects, for example: CREATE TABLE customers (id serial PRIMARY KEY, name text); CREATE TABLE orders (id serial PRIMARY KEY, customer_id int REFERENCES customers(id)); CREATE FUNCTION add_tax(amount numeric) RETURNS numeric LANGUAGE sql AS $$ SELECT amount * 1.22 $$; CREATE SCHEMA sales; CREATE TABLE sales.invoices (id serial PRIMARY KEY, number text); Add a new c

📅 Opened Oct 9, 2026💬 2 comments
Quality: 90/100Contribute

Describe the bug The in-app updater is disabled for installs managed by a package manager, but detection (src-tauri/src/updater/installation_source.rs) only covers Snap (SNAP), Flatpak (FLATPAK_ID), the AUR tabularis-bin package and the build-time PACKAGE_MANAGER_* variables. Installs from the channels the README recommends are not detected: Homebrew cask (brew install --cask tabularis) on macOS WinGet (winget install Debba.Tabularis) on Windows so those users get the in-app updater, which replaces the app behind the package manager's back (brew/winget then report a stale version or try to upgrade again). Expected behavior Homebrew-cask and WinGet installs show "Updates managed by …" and the in-app installer is disabled, like Snap/Flatpak/AUR. Where to start installation_source.rs: e.g. detect a Caskroom receipt (/opt/homebrew/Caskroom/tabularis, /usr/local/Caskroom/tabularis) on macOS; for WinGet, either inject PACKAGE_MANAGER_* in the winget manifest/installer or check the winge

📅 Opened Oct 7, 2026💬 2 comments
Quality: 90/100Contribute

Describe the bug --debug is documented in tabularis --help as: Enable debug logging (including sqlx queries) but the log level is hard-coded to Info in src-tauri/src/lib.rs (log::LevelFilter::Info), RUST_LOG is not read, and --debug only opens DevTools and re-enables the native context menu. There is no way to get debug-level logs when troubleshooting a connection problem. Expected behavior --debug raises the logger to Debug (including sqlx statements), or the help text is corrected. Honouring RUST_LOG when set would be a bonus. Where to start src-tauri/src/cli.rs (Args::debug) and src-tauri/src/lib.rs where init_logger(…, log::LevelFilter::Info) / log_level are set. src-tauri/src/logger.rs for the in-memory buffer that Settings → Logs shows. Acceptance criteria tabularis --debug shows debug entries (and sqlx queries) in Settings → Logs and stderr. Without --debug the level stays Info. Contributor notes Follow the repo rules in .rules/ (TypeScript, React, Rust, testing). A

📅 Opened Oct 7, 2026💬 1 comment
Quality: 90/100Contribute

Describe the bug When the app language is Auto (the default), the AI analysis in Visual Explain is always generated in English, even if the UI is shown in another language detected from the system. src/i18n/language.ts: export function getAiExplanationLanguage(language: AppLanguage): string { const fallBackLanguage = "English"; if (language === "auto") return fallBackLanguage; … } To Reproduce OS language Italian, Tabularis language left on Auto (UI is in Italian). Visual Explain → AI tab: the analysis is in English. Selecting "Italiano" explicitly gives Italian. Expected behavior With Auto, use the language i18next actually resolved (i18n.resolvedLanguage), falling back to English only if it isn't supported. Where to start src/i18n/language.ts getAiExplanationLanguage and its callers (e.g. ExplainAiAnalysis.tsx, the AI explain prompt) — pass the resolved language when the setting is auto. Acceptance criteria Auto + Italian UI → Italian analysis; Auto + unsupported l

📅 Opened Oct 7, 2026💬 2 comments
Quality: 90/100Contribute

Describe the bug PostgreSQL allows overloaded functions (same name, different arguments). The definition lookup used by View Definition and Edit filters by schema and name only and takes LIMIT 1 (src-tauri/src/drivers/postgres/mod.rs, get_routine_definition): SELECT pg_get_functiondef(p.oid) FROM pg_proc p JOIN pg_namespace n ON p.pronamespace = n.oid WHERE n.nspname = $1 AND p.proname = $2 LIMIT 1 With overloads, an arbitrary one is shown or edited, whichever entry is clicked in the sidebar. Parameters and Run… likely have the same ambiguity. To Reproduce CREATE FUNCTION f(a int) RETURNS int … and CREATE FUNCTION f(a text) RETURNS text …. The sidebar lists both; View Definition on either may show the same body. Expected behavior Each overload is identified by its signature (e.g. oid or pg_get_function_identity_arguments) and View/Edit/Run act on the clicked one. Where to start src-tauri/src/drivers/postgres/ routine listing and definition queries; RoutineInfo would need an id

📅 Opened Oct 7, 2026💬 0 comments
Quality: 90/100Contribute
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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, 84.8% 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 85.3%. 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 66.3 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 66.3 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 84.8%. 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.