Best Open Source Alternatives to Airtable in 2026
Airtable's Pricing Adds Up Fast
Airtable's free plan caps you at 1,000 records per base and 5 editors. That sounds generous until you try to build anything real -- a product catalog, a CRM, an inventory tracker -- and hit the wall within a week.
Here's what Airtable costs in 2026:
| Plan | Monthly (per seat) | Annual (per seat) | Records per Base |
|---|---|---|---|
| Free | $0 | $0 | 1,000 |
| Team | $24 | $20 | 50,000 |
| Business | $54 | $45 | 125,000 |
| Enterprise Scale | Custom | Custom | 500,000+ |
For a 20-person team on the Team plan, that's $4,800/year billed annually. Business runs $10,800/year. And even on paid plans, you're locked into Airtable's infrastructure with no way to self-host, no on-premises option, and no control over where your data lives.
The AI add-on costs another $6/seat/month on top of that.
Open source alternatives give you the same core capabilities -- database tables, multiple views, forms, automations, APIs -- with no record limits on self-hosted deployments and full data ownership.
TL;DR
NocoDB is the most popular open source Airtable alternative with 50K+ GitHub stars, works on top of any existing SQL database, and covers all the views you'd expect. For teams that want the cleanest no-code database experience with a polished UI and plugin ecosystem, Baserow is the strongest choice. If you think in spreadsheet formulas and want Python scripting power, Grist is the best fit.
Key Takeaways
- NocoDB (50K+ stars) connects to any existing MySQL, PostgreSQL, or SQLite database and layers an Airtable-like interface on top. Grid, kanban, gallery, calendar, and form views are all included. Recently changed license from AGPL to Sustainable Use License.
- Baserow (4K+ stars) is the most polished no-code database builder with grid, kanban, gallery, form views, native automations, a comprehensive REST API, and a plugin system. MIT-licensed core. GDPR and HIPAA compliant.
- Grist (8K+ stars) is a spreadsheet-database hybrid that uses full Python for formulas instead of proprietary formula languages. Apache 2.0 license. Best for teams that outgrow spreadsheets but need formula-driven logic.
- Teable (21K+ stars) is the fastest-growing newcomer -- PostgreSQL-native, modern UI, real-time collaboration, and strong performance on large datasets. AGPL license.
- Undb (3K+ stars) is a local-first, privacy-focused no-code database built with TypeScript and SQLite. Youngest project on this list but worth watching.
- All five tools are free to self-host with no per-seat pricing. Your costs are server infrastructure and maintenance time.
Quick Comparison
| Tool | GitHub Stars | Views | Formulas | Self-Hosting | API | License |
|---|---|---|---|---|---|---|
| NocoDB | 50K+ | Grid, Kanban, Gallery, Calendar, Form | Built-in | Docker + any SQL DB | REST | Sustainable Use |
| Baserow | 4K+ | Grid, Kanban, Gallery, Form | Built-in | Docker (all-in-one) | REST (OpenAPI) | MIT (core) |
| Grist | 8K+ | Grid, Card, Chart, Calendar, Custom | Python | Docker (single container) | REST | Apache 2.0 |
| Teable | 21K+ | Grid, Kanban, Gallery, Calendar, Form | Built-in | Docker + PostgreSQL | REST | AGPL-3.0 |
| Undb | 3K+ | Grid, Kanban, Gallery, Form | Built-in | Docker / single binary | REST | AGPL-3.0 |
Airtable comparison: Airtable offers grid, kanban, calendar, gallery, form, timeline, and Gantt views. Automations are limited by plan -- 100 runs/month on Free, 25,000 on Team, 100,000 on Business. The REST API has a rate limit of 5 requests per second per base. Integrations with 1,000+ apps are available but many require paid plans.
NocoDB -- Most Popular, Works on Any SQL Database
NocoDB is the most starred open source Airtable alternative on GitHub and takes a fundamentally different approach from other tools on this list. Instead of creating its own database, NocoDB sits on top of your existing MySQL, PostgreSQL, MariaDB, or SQLite database and adds a spreadsheet-like interface on top.
What It Does Well
The "connect to any database" approach is NocoDB's defining feature. Point it at an existing production database and you get an instant Airtable-like interface over your data -- without migrating anything. This makes it uniquely useful for teams that already have data in SQL databases and want a visual layer for non-technical users to browse, filter, and edit records.
View coverage is comprehensive. Grid view works as your default spreadsheet interface. Kanban boards let you drag records across status columns. Gallery view displays records as cards with cover images. Calendar view plots records by date fields. Form view generates shareable forms that write directly to your tables. Every view supports filtering, sorting, and grouping.
NocoDB recently added Dark Mode, webhook custom payloads for cleaner automation integrations, and group-by aggregations for analytics within views.
Self-Hosting Requirements
- NocoDB app -- single Docker container
- Any SQL database -- MySQL, PostgreSQL, MariaDB, or SQLite
Two services at minimum. The real advantage is that NocoDB connects to a database you already run. Docker Compose handles the standard deployment, and a 2GB RAM VPS handles small to mid-size teams.
Limitations
The license change is the elephant in the room. NocoDB recently moved from AGPL-3.0 to a Sustainable Use License. You can still self-host, modify, and use it for internal purposes. But offering NocoDB as a managed service to third parties or embedding it in a commercial SaaS product may require a commercial license. If open source licensing purity matters to your organization, this is worth evaluating carefully.
Performance can degrade with very complex views on large tables, especially when using nested filters and lookups across linked records. The formula system works but is less powerful than Grist's Python-based approach. Documentation has improved but still has gaps in advanced configuration areas.
Best for: Teams with existing SQL databases who want a no-code interface for non-technical users without migrating data.
Baserow -- Best No-Code Database Builder
Baserow is the tool that feels most like a purpose-built Airtable replacement. The interface is clean, modern, and immediately familiar to Airtable users. It's built by a dedicated company (Baserow B.V.) with a clear open-core business model -- the core product is MIT-licensed and genuinely open source.
What It Does Well
The UI polish is Baserow's biggest advantage. Creating tables, adding fields, switching between views, and building forms all feel smooth and intuitive. The grid view handles large datasets without noticeable lag. Kanban and gallery views work as expected. Form view generates clean, embeddable forms for data collection.
The automation system pulls ahead of most open source alternatives. Triggers fire on record creation, updates, or deletions. Actions can update records, send notifications, call external APIs, run AI operations, or branch into conditional logic with routers.
The REST API is comprehensive with an OpenAPI schema. The plugin system lets you extend Baserow with custom field types, views, and integrations. Baserow is GDPR, HIPAA, and SOC 2 Type II compliant -- which matters for regulated industries.
Self-Hosting Requirements
Baserow offers a remarkably simple deployment:
- Single Docker container -- includes the application, web server, and Celery workers
One command gets you running: docker run -v baserow_data:/baserow/data -p 80:80 baserow/baserow. For production, Docker Compose configurations are available with PostgreSQL and Redis as separate services for better performance and reliability. Cloudron, Helm, and AWS deployment guides exist for scaled environments.
Limitations
The GitHub star count (4K+) is lower than NocoDB or Teable, which reflects a smaller community rather than a quality gap. The plugin ecosystem is growing but still limited compared to Airtable's marketplace. Calendar view is not yet available in the open source edition -- it's a premium feature.
The all-in-one Docker image is convenient for getting started but can be resource-heavy for production. A proper production setup with separate PostgreSQL and Redis services requires more configuration.
Best for: Teams that want the closest overall experience to Airtable with a polished UI, built-in automations, and a comprehensive API -- especially those in regulated industries needing compliance certifications.
Grist -- Best for Spreadsheet Power Users
Grist takes a different angle from every other tool on this list. While NocoDB and Baserow aim to replicate Airtable's no-code database experience, Grist combines the familiar spreadsheet interface with relational database capabilities and -- critically -- uses full Python for formulas.
What It Does Well
The Python formula engine is Grist's killer feature. Instead of learning a proprietary formula language (Airtable's FIELD() functions, Baserow's formula syntax), you write actual Python. The full standard library is available. If you can write a Python expression, it works as a Grist formula. For teams with any Python knowledge, this eliminates the "how do I do X in this formula language?" problem entirely.
The data model is genuinely relational. Tables reference each other with proper foreign key relationships, and summary tables aggregate data across linked records -- closer to SQL views than Airtable's linked record fields. You can display the same data as grids, card layouts, charts, calendars, and custom widgets built with HTML/CSS/JS.
Access control is granular down to individual rows and columns -- not just table-level access. Something Airtable only offers on Business and Enterprise plans. Grist documents are self-contained SQLite files, making backup, migration, and portability straightforward.
Self-Hosting Requirements
- Grist app -- single Docker container
One service. Grist runs as a single container with data stored in SQLite files. For production deployments, you'll want to configure the GRIST_SANDBOX_FLAVOR=gvisor environment variable to sandbox Python formula execution for security. Authentication can be configured via SAML, OIDC, or a reverse proxy.
The lightest deployment of any tool on this list -- it runs on minimal infrastructure and stores everything in portable files.
Limitations
Grist looks and feels more like a spreadsheet than a database app. If your team expects the Airtable-style card layouts, kanban boards, and form builders, Grist's interface will feel less polished. The kanban view exists but is less refined than NocoDB's or Baserow's.
The Python formula engine runs in a sandbox, which adds a small performance overhead. For very large datasets (100K+ rows with complex computed columns), formula recalculation can be noticeably slow.
Form functionality is more basic than dedicated no-code database tools. Automations are limited compared to Baserow's workflow builder. The community is smaller than NocoDB's, which means fewer tutorials, integrations, and third-party resources.
Best for: Teams with spreadsheet power users or Python developers who need relational data modeling with full programming language formulas -- data analysts, finance teams, and operations teams.
Teable -- Fastest-Growing Modern Alternative
Teable is the newest serious contender in the open source Airtable space and the fastest-growing by GitHub star velocity. Built from the ground up on PostgreSQL, it stores your data in standard Postgres tables -- not an abstraction layer on top -- which means any tool that speaks PostgreSQL can query your Teable data directly.
What It Does Well
Performance is Teable's standout feature. Because it uses PostgreSQL natively (not as a metadata store with a custom data layer), operations on large datasets -- filtering, sorting, grouping, searching -- run at database speed. Teams working with hundreds of thousands of records will notice the difference compared to tools that hit performance walls at scale.
The UI is modern and responsive. Grid, kanban, gallery, calendar, and form views are all available. Real-time collaboration lets multiple users edit simultaneously with live cursor presence and instant updates. The drag-and-drop experience is smooth, and the overall interface feels like a 2026 product rather than a legacy codebase with a fresh coat of paint.
The PostgreSQL-native approach has a practical benefit beyond performance: your data is accessible through any PostgreSQL-compatible tool. Connect BI dashboards, ETL pipelines, or custom applications directly to the same database Teable uses. No export/import cycles, no API rate limits, no data synchronization issues.
Self-Hosting Requirements
- Teable app -- Docker container (React/Next.js frontend, Node.js backend)
- PostgreSQL -- database
Two services with a standard Docker Compose deployment. The PostgreSQL requirement is non-negotiable -- Teable doesn't support SQLite or MySQL. For teams already running PostgreSQL, this is a natural fit. The community edition is free under the AGPL license.
Limitations
Teable is young. While the rapid growth (21K+ stars) signals strong community interest, the project hasn't been battle-tested at enterprise scale the way NocoDB has over its longer history. Breaking changes between versions are more likely. The plugin ecosystem is minimal. Documentation is growing but has gaps.
The automation system is functional but less mature than Baserow's workflow builder. Integration options are more limited -- you'll rely on the API and webhooks rather than native connectors.
Best for: Teams that prioritize performance on large datasets and want direct PostgreSQL access to their data -- especially those already running PostgreSQL infrastructure.
Undb -- Local-First, Privacy-Focused
Undb is the newest and smallest project on this list, but it's worth including for teams that prioritize local-first operation and data privacy. Built entirely in TypeScript with a SQLite backend, Undb can be packaged as a single binary using Bun, making it one of the simplest tools to deploy.
What It Does Well
The local-first architecture means your data stays on your machine or server by default. There's no cloud dependency, no phone-home telemetry, no external service requirements. For teams handling sensitive data -- legal, healthcare, financial -- this zero-trust approach is appealing.
Built with modern TypeScript throughout (React frontend, Bun backend), the codebase is well-structured and type-safe. Grid, kanban, gallery, and form views cover the basics. A single Docker container or binary with SQLite means zero external dependencies -- the fastest path from "I want to try it" to "it's running."
Self-Hosting Requirements
- Undb -- single Docker container or Bun binary
- SQLite -- embedded, zero configuration
One service, zero external dependencies. This is the lightest deployment footprint of any tool on this list.
Limitations
Undb has roughly 3K GitHub stars and the last major update was in mid-2025. The community is small, development pace is uncertain, and the risk of the project stalling is higher than more established alternatives. If you're choosing a tool for long-term production use, this is a significant consideration.
Feature depth is shallower than the other tools. Automations, integrations, and advanced formula capabilities are limited or absent. The SQLite backend keeps things simple but limits concurrent write performance for larger teams.
Best for: Solo users and small teams who want a dead-simple, private, local-first database tool -- especially TypeScript developers who might contribute to or customize the project.
How to Choose
"I have an existing SQL database and need a visual layer" -- NocoDB. It connects to your existing MySQL or PostgreSQL database and adds an Airtable-like interface without migrating data.
"I want the closest experience to Airtable" -- Baserow. The UI polish, automation builder, REST API, and plugin system give you the most complete Airtable replacement out of the box.
"I need powerful formulas and spreadsheet logic" -- Grist. Full Python formulas, relational data modeling, and granular access control. Best for data-heavy teams that think in spreadsheets.
"I need performance on large datasets" -- Teable. PostgreSQL-native storage means database-speed operations on hundreds of thousands of records, plus direct SQL access to your data.
"I want the simplest possible setup" -- Undb for a single binary with SQLite, or Grist for a single Docker container with portable document files.
"Open source licensing matters to me" -- Baserow (MIT core), Grist (Apache 2.0), or Teable/Undb (AGPL-3.0). Note that NocoDB's recent license change to Sustainable Use License may not qualify as open source by OSI standards.
Cost Comparison: Airtable vs Self-Hosting
For a 20-person team, here's the annual cost breakdown.
Airtable (20 Users)
| Plan | Annual Cost |
|---|---|
| Team ($20/user/month) | $4,800 |
| Business ($45/user/month) | $10,800 |
| Enterprise Scale | Custom (typically higher) |
Self-Hosting (20 Users)
| Cost | Annual Estimate |
|---|---|
| VPS (4GB RAM, 2 vCPU) | $240-$480 |
| Admin time (2-4 hrs/month at $75/hr) | $1,800-$3,600 |
| Backup storage | $60-$120 |
| Domain + SSL (Let's Encrypt) | $12-$20 |
| Total | $2,112-$4,220 |
Break-even point: Self-hosting saves money starting at about 8-10 users compared to Airtable Team. If your team already manages self-hosted infrastructure, the marginal cost is minimal -- just the VPS and backup storage at $300-$600/year.
Beyond cost, you get no record limits per base, no API rate limits, no automation run caps, and complete control over data retention and privacy policies.
Methodology
We evaluated these tools based on:
- Feature parity with Airtable -- Views (grid, kanban, calendar, gallery, form), field types, formulas, automations, API quality, and integrations.
- Self-hosting viability -- Docker availability, number of required services, documentation quality, and real-world deployment complexity.
- Community health -- GitHub stars, commit frequency, release cadence, issue responsiveness, and active maintainership as of March 2026.
- Production readiness -- Stability at scale, authentication options, data portability, and suitability for team use.
- Data architecture -- How data is stored, queried, and accessed. Direct SQL access, backup portability, and integration with external tools.
We did not accept payment or sponsorship from any project listed. Tools were tested via self-hosted Docker deployments where available.
Find Your Alternative
The right Airtable alternative depends on whether you need a visual layer over existing databases, a polished no-code builder, spreadsheet-grade formula power, or raw performance on large datasets.
Browse all Airtable alternatives on OSSAlt to see detailed feature comparisons, deployment guides, and community reviews -- and find the right fit for your team.