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Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Engineers' toolkit for building, testing, and deploying data models
Quary lets engineers connect to databases, define sources, write modular SQL models, test via version control, and deploy documented data assets—all from a VSCode extension and Rust CLI.
When teams consider Quary, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Transform raw event logs into clean analytics tables
Engineers split complex ETL logic into modular SQL models, versioned and tested automatically.
Create a sales performance chart for quarterly review
SQL‑driven chart generated within VSCode, ready to embed in reports.
Validate data quality before production deployment
Automated tests catch schema or value anomalies, preventing faulty data releases.
Deploy documented data models to production database
CLI builds and pushes transformed tables, ensuring reproducible deployments.
Quary works with any database that has a compatible driver; out‑of‑the‑box support includes DuckDB, PostgreSQL, MySQL, and others via standard SQL connections.
The extension provides the UI; the CLI performs all core operations. The extension depends on the CLI, so installing both is recommended.
Tests are written as SQL assertions in model files and executed with `quary test`, integrating with version control.
Yes, models can be compiled, built, and deployed to target databases, and the workflow supports CI/CD pipelines.
Join the community Slack, file issues on GitHub, or submit pull requests; the project is Apache‑2.0 licensed.
Project at a glance
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