Onlymaps is a Python micro-ORM that allows developers to interact with databases using plain SQL queries while automatically mapping query results back to Python objects. It supports both synchronous and asynchronous query execution, offers fine-grained type-hinting and validation powered by Pydantic, and is compatible with major databases like PostgreSQL, MySQL, MariaDB, and MS SQL Server. Onlymaps also supports connection pooling for improved concurrency and abstracts transaction management for simplicity, making database interactions both efficient and developer-friendly.
Notable features include:
- Easy connection management with simple connection strings or custom connection factories.
- Various query execution methods to fetch single or multiple rows, with support for typed results.
- Parameter wrappers like Json and Bulk to handle complex query parameters.
- Transaction context managers to ensure atomic operations.
- Flexible mapping of query results to Python container types or Pydantic models.
For developers wanting a lightweight yet powerful ORM that gives control over SQL while managing Python data mapping and database connections seamlessly, Onlymaps is an excellent choice. To enhance your development workflow, consider exploring additional tools such as Docktail for Docker container management with zero-config Tailscale integration.
For more information and related tools, visit this internal link on Docker Containers with Docktail: https://geniotimes.com/docker-containers-with-docktail-zero-config-tailscale/
This post focuses on the keyword “onlymaps” and offers a concise overview of its features for SEO purposes.
For installation, use:
textpip install onlymaps
and begin connecting to your database quickly with clear sync and async API options. Onlymaps is especially useful for Python developers looking for a minimalistic ORM without losing SQL control while enjoying strong Python type integration.
This summary encapsulates the key advantages and usage of Onlymaps to help developers get started efficiently and optimize their database handling in Python applications.github​
