StackRender
Database schema design and SQL migration generator supporting PostgreSQL, MySQL, MariaDB, SQLite, SQL Server, and Oracle.
Activity has dropped noticeably. Check the repository before committing to it.
Commit activity more than 10% of tracked projects; popularity more than 25%. How this is calculated.
Commits, last 11 months
| Stars | 549 |
|---|---|
| Latest release | v1.4.0 · 10 Jun 2026 |
| Repo updated | 13 Sept 2026 |
| Licence | AGPL-3.0 |
| Built with | Nodejs, Docker |
Is StackRender actively maintained?
StackRender is under active development: 19 commits landed over the last 11 months, averaging roughly 6 commits a month in the most recent quarter.
The most recent tagged release, v1.4.0, is about 4 months old.
StackRender ranks #15 of 21 tracked database management projects. Several better-maintained options exist in the same category — they are listed below.
What StackRender actually does
StackRender is a self-hosted tool designed for database schema design and SQL migration generation. It provides support for multiple relational database management systems, including PostgreSQL, MySQL, MariaDB, SQLite, SQL Server, and Oracle. The software aims to simplify the creation and maintenance of database structures through a centralised web interface.
Best fit: It suits developers and database administrators who manage multi-database environments and need a standardised way to generate and track schema migrations.
Worth knowing: The AGPL-3.0 licence requires you to release the complete source code of your modified version if you offer it as a network service, which may affect proprietary deployments. Additionally, development velocity appears to be slowing.
Deployment notes
As a Node.js application packaged with Docker, it typically requires persistent storage volumes for state retention and a reverse proxy to handle TLS termination. You will also need to connect it to an external database instance if it does not use an embedded SQLite file by default.
Alternatives to StackRender
Projects in the same categories, ordered by health score.
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Intuitive UI to manage data collaboratively, for users of all technical skill levels. Built on Postgres – connect an existing DB or set up a new one.