Best Microframeworks for PostgresML
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Compare the Top Microframeworks that integrate with PostgresML as of November 2025
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This a list of Microframeworks that integrate with PostgresML. Use the filters on the left to add additional filters for products that have integrations with PostgresML. View the products that work with PostgresML in the table below.
What are Microframeworks for PostgresML?
Microframeworks are lightweight web application frameworks that provide basic functionality such as routing, request and response handling, templating and input validation. They typically do not include any libraries or helpers for common tasks, leaving developers with the freedom to choose their own libraries for such functions. Microframeworks are designed for applications that require minimal setup and fast development cycles, although they may also be suitable for larger applications. They offer an alternative to full-stack frameworks. Compare and read user reviews of the best Microframeworks for PostgresML currently available using the table below. This list is updated regularly.
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Falcon
Falcon
Falcon is a blazing fast, minimalist Python web API framework for building robust app backends and microservices. The framework works great with both asyncio (ASGI) and gevent/meinheld (WSGI). The Falcon web framework encourages the REST architectural style. Resource classes implement HTTP method handlers that resolve requests and perform state transitions. Falcon complements more general Python web frameworks by providing extra reliability, flexibility, and performance wherever you need it. A number of Falcon add-ons, templates, and complementary packages are available for use in your projects. We've listed several of these on the Falcon wiki as a starting point, but you may also wish to search PyPI for additional resources.
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