Mathesar puts a spreadsheet in front of your PostgreSQL database, letting anyone on the team browse, edit, filter, sort, and query tables without writing a line of SQL. Connect it to any existing PostgreSQL instance and immediately navigate schemas, tables, and records through an intuitive grid interface with inline editing, grouping, and summarization. The query builder joins tables across foreign key relationships, creates custom views with aggregations, and exports results to CSV. Rather than inventing its own permission layer, Mathesar maps each user or team to a native PostgreSQL role with granular schema-level and table-level privileges enforced at the database engine level, so there is never a gap between what the UI allows and what the database permits. Record summary templates display human-readable representations of linked records, making foreign key relationships immediately understandable instead of showing raw IDs. Import data from CSV files, create new tables and columns with proper PostgreSQL types including arrays, JSON, and custom domains, and modify schema structure through the web interface. Mathesar scales as well as the underlying PostgreSQL instance with no artificial limits on database size or complexity. Maintained by the Mathesar Foundation, a 501(c)(3) nonprofit, with a permanent commitment against vendor lock-in or licensing changes. Docker deployment connects to existing PostgreSQL instances or a bundled database in minutes. 5,000+ GitHub stars. GPL-3.0 licensed.

With over 11,200 GitHub stars and adoption by France's sovereign digital workspace LaSuite serving 20,000+ government users, Grist is the relational spreadsheet that ends the false choice between fragile Excel files and expensive custom database development — storing all data in portable SQLite files while providing true relational structure where VLOOKUPs become actual linked records that update instantly across entire documents. Python-powered formulas replace complex Excel syntax with clear, readable logic using the full Python standard library, while familiar Excel functions remain available for users who prefer them. Granular access rules control permissions at row, column, table, and cell levels — not just entire sheets — enabling multi-department documents where each team sees only their authorized data. The flexible layout system combines spreadsheets, card views, charts, calendars, and custom widgets on configurable dashboard pages that transform raw data into operational interfaces. Real-time collaboration lets multiple users edit simultaneously with automatic snapshot history capturing every change for full audit trails and point-in-time recovery. AI formula assistance connects to OpenAI, Llama, or any OpenAI-compatible endpoint via OpenRouter to generate formulas from natural language descriptions. The REST API and webhooks enable integration with n8n, Zapier, and custom automation, while incremental imports keep external data sources synchronized. Deployable via Docker with OIDC, SAML, and SCIM authentication support. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

Undb turns a browser tab into a full-featured database with spreadsheet-style editing, auto-generated REST APIs, and five configurable views for every table. The platform organizes data through Spaces, Bases, and Tables, offering grid view for traditional editing, Kanban boards for workflow tracking, calendar for date-based planning, gallery for image-rich records, and pivot tables for analytical summaries, each with independent filtering, sorting, color coding, and field selection. An ANTLR4-powered formula engine provides Airtable-style calculated fields with proper syntax validation, variadic argument handling, and type-checked function signatures that go beyond simple string interpolation. Every table automatically generates a fully documented OpenAPI REST endpoint with Swagger UI, letting developers integrate Undb data into external applications through standard HTTP methods without additional configuration. The Drizzle ORM abstraction layer supports four database backends (SQLite, PostgreSQL, MySQL, and Turso edge-distributed SQLite) with separate migration configurations for each adapter. Authentication uses Lucia with OAuth2 via Arctic for GitHub login and Oslo for TOTP two-factor authentication. The SvelteKit 5 frontend renders through Houdini's compile-time GraphQL client and TanStack Svelte Query, while the Elysia.js backend compiles into a single executable via Bun's --compile flag, embedding all assets into one portable binary. File attachments store in any S3-compatible backend including MinIO. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.