Airtable's spreadsheet-database model, self-hostable and open-source: that is Baserow. It presents data in a spreadsheet-style grid, but underneath each table is a real relational structure with typed fields, links between tables, filters, sorts, and multiple views (grid, gallery, form, kanban, calendar). Beyond the database core, it includes an application builder for composing pages and portals on your data, workflow automations, and dashboards. Everything is API-first: each table exposes a REST endpoint with token auth and webhooks, so it plugs directly into n8n, Zapier, or custom scripts. The stack is Django (Python) on the backend, Vue.js on the frontend, PostgreSQL for storage, with Redis for async tasks. Core features are MIT-licensed; premium features are a paid add-on. The self-hosted version has no row, storage, or API request limits - Airtable's per-base record caps and monthly API quotas simply don't exist here, and capacity is bounded only by your PostgreSQL database and disk. Existing Airtable bases, CSVs, and Excel files import directly with structure preserved, so migration doesn't start from a blank slate, and both the backend and frontend support plugins for custom field types and integrations without forking the core. For non-technical teammates the interface behaves like a spreadsheet; for engineers, the data model is the API.

An Airtable-style spreadsheet interface directly on PostgreSQL: Teable is an open-source no-code database where every table is a real Postgres table. Unlike tools that store records in a metadata abstraction layer, every Teable table is a real Postgres table with standard column types, so filtering, sorting, and grouping run at database speed, million-row tables answer complex filters in roughly 200 milliseconds without index tuning, and any PostgreSQL-compatible tool - psql, BI dashboards, ETL pipelines - can query the same data directly. The interface offers Grid, Kanban, Gallery, Calendar, and Form views as non-destructive overlays with their own filters and hidden fields, plus 20+ field types, formulas, comments, attachments, batch editing, undo/redo, and edit history. Collaboration is real-time with live cursors and instant sync across views, backed by Redis, and a REST API is auto-generated per table, largely compatible with Airtable API clients - alongside native SQL access for BI tools, analytics pipelines, and your own applications to JOIN and query directly, with no exports, API rate limits, or sync jobs. Global search spans all records, chart plugins handle quick visualization, and CSV and Excel import/export cover migrations. Where Airtable caps paid plans at 100K-500K rows and charges roughly $20 per user per month, a self-hosted Teable instance has neither limit: the Postgres database itself is the export if you ever leave. Built in TypeScript with NestJS, deployed via Docker with PostgreSQL and Redis, and licensed AGPL-3.0.

Any existing relational database becomes a collaborative, Airtable-style smart spreadsheet under NocoDB. It connects to PostgreSQL, MySQL, MariaDB, SQL Server, or SQLite, introspects the schema - tables, relationships, indexes - and renders it as interactive Grid, Gallery, Kanban, Calendar, and Form views without migrating a single row. Your business data stays in your database; NocoDB keeps only its own metadata (view configs, permissions, webhooks) in a separate store. Every connected table automatically gets REST APIs with Swagger documentation, effectively turning legacy databases into modern backends. The spreadsheet layer adds 20+ field types including formulas, lookups, rollups, links, attachments, and currency, plus sorting, filtering, grouping, and multi-field editing. Views can be locked or shared publicly with password protection, role-based access control scopes permissions per user, and webhooks plus CSV, Excel, and Airtable import round out integration. An ERD view visualizes the schema. Built with Node.js and Vue, deployed via Docker, handling millions of rows.

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.

With over 32,000 GitHub stars and adoption by DoorDash, Netflix, and Bose, CockroachDB is the distributed SQL database designed to survive disk failures, machine outages, rack losses, and entire datacenter failures while maintaining strongly-consistent ACID transactions with serializable isolation by default. The architecture layers SQL on a transactional key-value store using the Raft consensus protocol for synchronous replication, automatically splitting data into ranges that distribute and rebalance without manual sharding. PostgreSQL wire protocol compatibility means existing drivers, ORMs, and tools including psycopg2, pgx, ActiveRecord, Django ORM, GORM, Hibernate, and Prisma work without modification. Multi-region capabilities include configurable survival goals at region or zone level, table-level locality settings for pinning data to specific geographies for GDPR compliance, and follower reads for low-latency global queries. The built-in DB Console provides cluster overview dashboards, node maps showing geographical distribution, SQL activity pages tracking statement fingerprints, transaction latency percentiles, session details, and real-time metrics for queries per second, storage capacity, and replication status. Change data capture streams row-level changes to Apache Kafka, Google Cloud Pub/Sub, or webhook endpoints for event-driven architectures. Online schema changes execute ALTER TABLE without locking or downtime, and distributed backup supports full and incremental snapshots to S3, GCS, Azure Blob, and NFS. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. CockroachDB Software License (source-available).

With 37,000 GitHub stars and over 45 million downloads powering 500,000+ deployed projects, Directus is the most widely adopted open-source backend platform that connects to your existing SQL database without requiring schema migrations or data duplication. Point it at PostgreSQL, MySQL, MariaDB, MS SQL, SQLite, OracleDB, or CockroachDB and it instantly generates production-ready REST and GraphQL APIs complete with filtering, sorting, pagination, field selection, and relational queries — all derived from your actual schema with zero configuration. The visual Studio provides a full no-code management interface where non-technical teammates create content, manage assets, build dashboards, and configure access policies without engineering involvement. Field-level granular permissions govern every API request and Studio action through composable policies applied to roles, users, and AI agents identically. A built-in AI Assistant writes copy, translates content across languages, creates records, and routes items for review directly within the Studio interface. The native Model Context Protocol server connects Claude Desktop, Cursor, ChatGPT, or any MCP-compatible tool to your live data governed by the same access policies. Real-time WebSocket subscriptions push collection changes instantly for collaborative editing and live dashboards. Extensibility covers custom endpoints, hooks, interfaces, displays, layouts, modules, and operations. Deploy via Docker with environment-variable configuration or use Directus Cloud for managed hosting. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSL-1.1 licensed with free self-hosting.

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.

Doccano is a text annotation platforms for building machine learning training datasets. The web-based interface supports text classification for sentiment analysis and document categorization, sequence labeling for named entity recognition with overlapping entity support and relation extraction between labeled spans, and sequence-to-sequence annotation for text summarization and machine translation pairs. Collaborative annotation enables multiple annotators to work on the same project simultaneously with per-user progress tracking, annotation guidelines, example assignment to specific members, and filtering by assignee. Auto-labeling integrates with external machine learning model APIs through configurable request and response mapping templates, allowing pre-annotation that annotators can review and correct. Data import accepts plain text, JSONL, CoNLL, and Excel formats, while export produces JSONL and CoNLL datasets compatible with spaCy, Hugging Face Transformers, PaddleNLP, and other training frameworks through the doccano-transformer library. The Django backend with Django REST Framework exposes a complete RESTful API for programmatic project creation, dataset management, and annotation retrieval via the official doccano-client Python library. Celery handles background tasks including dataset import and export processing with Flower providing task monitoring. One-click deployment supports AWS CloudFormation and Heroku alongside Docker Compose for self-hosted environments. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Traditional database management tools like pgAdmin and phpMyAdmin were built for DBAs, not for the rest of the team that just needs to look up a record or run a quick query. db-ui strips away the complexity and gives you a clean, modern interface that anyone can use. Browse tables in a paginated grid view with inline editing, filtering, and sorting built right into the column headers. The sidebar lists every table and view across all schemas with fuzzy search (Cmd+K to focus) that filters results as you type. Click any table to see its data, or switch to the schema introspection view to visualize columns, types, constraints, and relationships without writing a single query. The SQL editor provides syntax highlighting, result visualization in tabular format, and one-click CSV export for downstream analysis. For questions about your data model, the integrated AI chat assistant has full access to your database schema and can help you understand table relationships, write complex queries, suggest indexes, and provide optimization recommendations with streaming responses. Connect to PostgreSQL, MySQL, or Microsoft SQL Server through environment variables and deploy the whole application as a single Docker container. On RepoCloud, deploy db-ui on a dedicated VPS with root SSH access and direct connectivity to your database servers under the MIT license.