sqlpage

sqlpage/SQLPage

Rust MIT Web Dev

Fast SQL-only data application builder. Automatically build a UI on top of SQL queries.

2.5k stars
175 forks
active
GitHub +7 / week

2.5k

Stars

175

Forks

140

Open issues

30

Contributors

v0.44.1 11 Jun 2026

AI Analysis

SQLPage is a SQL-only web application builder that transforms database queries into interactive UIs without requiring traditional backend code. It's best suited for rapid development of data-centric applications where developers want to work exclusively in SQL, supporting SQLite, PostgreSQL, MySQL, SQL Server, and ODBC-compatible databases. It serves data engineers, business analysts, and developers who prefer SQL-first development over conventional web frameworks.

Web Dev Web Framework Discovery value: 6/10
Documentation 8/10
Activity 10/10
Community 8/10
Code quality 5/10

Inferred from signals mentioned in the README (tests, CI, type safety) — not a review of the actual code.

Overall score 8/10

AI's overall editorial judgment — not an average of the bars above, can weigh other factors too.

sql-first data-applications low-code database-driven web-builder
Actively maintained Well documented MIT licensed Niche/specialized use case Beginner friendly Production ready
Deep Analysis · Based on README and public signals
1w ago

SQL-only web app builder: write database queries, get interactive UIs automatically

SQLPage is a Rust-based runtime that transpiles SQL queries into rendered web components (forms, charts, lists, tabs). Users write `.sql` files; SQLPage executes them and outputs HTML/interactive pages. Targets data-centric applications where SQL expertise exists but web development doesn't. Supports SQLite, PostgreSQL, MySQL, SQL Server, and ODBC databases. Adoption appears concentrated among small teams and individual developers building internal tools and dashboards.

Origin

Created August 2022, SQLPage emerged as a narrowly-scoped solution to the observation that many data professionals can write SQL but struggle with full-stack web development. It follows a pattern of declarative UI builders (e.g., Streamlit for Python, Retool for drag-and-drop), but specialized for SQL-native workflows.

Growth

Repository grew from 0 to ~2,500 stars over 4 years, averaging modest growth (5 stars/week recently). Activity increased measurably in 2023–2024 as Docker support and ODBC integration matured. Growth rate appears plateaued; recent 7-day gain of 5 stars suggests continued but slow adoption rather than viral expansion. No evidence of a single high-profile adoption event driving spike.

In production

Adoption not verified through named deployments, case studies, or reported user counts. README includes Docker hub image and homebrew package, suggesting some production deployment infrastructure exists. Website (sql-page.com) and 'get started' guide imply intended use by non-trivial audience, but concrete evidence of production usage (companies, projects, user testimonials) is absent from README.

Code analysis
Architecture

Appears to be a single Rust binary that acts as an HTTP server. README shows it accepts `.sql` files from disk, parses them, executes queries against connected databases, and renders results using component templates (list, chart, form, card, tab, text). Likely uses a declarative configuration layer where SQL result columns with specific names (e.g., 'component', 'title') control which UI elements render. Component abstraction suggests separation between query logic and rendering, though source code not inspected.

Tests

Not documented in README. No mention of test suite, coverage reports, or testing philosophy.

Maintenance

Last push 2026-06-25 (8 days before evaluation date); active and recent. Repository has been consistently maintained across 4 years with no multi-month gaps evident. Moderate commit velocity inferred from star/fork ratio and update frequency. Not a stagnant project, but growth is incremental rather than accelerating.

Honest verdict

ADOPT IF: you have SQL expertise, need rapid internal tool/dashboard prototyping, are willing to accept limited UI customization, and have a supported database. AVOID IF: you require heavily customized UI, complex business logic beyond SQL, real-time reactivity, or need to move fast iterating on UX with designers. MONITOR IF: you're evaluating for a small data team's internal tools but unsure about long-term maintenance; adoption appears real but not yet large enough to guarantee ecosystem maturity.

Independent dimensions

Mainstream potential

3/10

Technical importance

5/10

Adoption evidence

3/10

Risks
  • Adoption not verified at scale; may be primarily early-adopter and hobby-project usage.
  • Limited customization beyond templated components; non-trivial UI requirements force users into custom SQL hacks or back to traditional web development.
  • Small maintainer surface area; project appears maintained by small team (inferred from commit history). Bus factor risk if key contributor exits.
  • Database support via ODBC introduces operational complexity and potential driver version friction.
  • No evidence of enterprise support, SLA, or commercial backing; sustainability depends on continued volunteer maintenance.
Prediction

Likely to remain a specialized tool for SQL-literate teams building internal data tools. Modest growth expected as self-hosted BI/dashboarding becomes more appealing post-SaaS consolidation, but unlikely to reach mainstream developer adoption. May see increased interest in 2027–2028 if Rust web ecosystem matures further and internal tool markets expand.

0 found this helpful

Newsletter

Get analyses like this every Monday

Free weekly digest of the most interesting open-source discoveries.

Languages

Rust
81.2%
Handlebars
9.3%
SQL
3.2%
JavaScript
2.9%
TypeScript
1.7%
Shell
0.8%
CSS
0.4%
Dockerfile
0.4%

Information

Language
Rust
License
MIT
Last updated
18h ago
Created
48mo ago
Analyzed with
anthropic/claude-haiku-4-5

Stars over time

Loading…

Contributors over time

Top 100 contributors only — repos with more will plateau at 100.

Loading…

Similar repos

SeaQL

SeaQL/sea-query

SeaQuery is a dynamic SQL query builder for Rust that supports MySQL, Postgres,...

1.7k Rust Dev Tools
lana-k

lana-k/sqliteviz

Sqliteviz is an offline-first PWA for client-side SQL queries and data...

2.4k JavaScript Data
saschagrunert

saschagrunert/webapp.rs

A complete full-stack web application written entirely in Rust, featuring a...

2.2k Rust Web Dev
joaoh82

joaoh82/rust_sqlite

SQLRite is an educational embedded database implementation written in Rust,...

1.1k Rust Education
sql-js

sql-js/sql.js

sql.js is a JavaScript library that compiles SQLite to WebAssembly, enabling...

13.6k JavaScript Web Dev
vs. alternatives
Streamlit (Python)

Broader ecosystem (Python + arbitrary libraries vs. SQL-only). Streamlit serves data science and analytics; SQLPage targets SQL-native DevOps/DBA workflows. SQLPage likely faster for schema-to-UI if schema is already in SQL; Streamlit more flexible for custom logic.

Retool / Budibase

Drag-and-drop, visual builders with larger feature surface and SaaS options. SQLPage is code-first and self-hosted only. Retool/Budibase serve wider audience (non-technical); SQLPage assumes SQL literacy.

Metabase / Apache Superset

BI/analytics dashboards with pre-built visualizations. SQLPage is not primarily a BI tool; it's a general-purpose web app builder. Metabase/Superset are more mature for reporting; SQLPage better for CRUD applications.

SeaQL / sea-query (Rust SQL builder)

Library-level SQL query builder for Rust developers. SQLPage is a runtime/server. Different abstraction levels; not direct competitors.

Custom Flask/Django + SQL

Hand-coded web framework. SQLPage eliminates boilerplate for common patterns (forms, lists, charts). Trades flexibility for speed-to-prototype. Custom code is strictly more powerful; SQLPage faster for data-centric CRUD.