Litestar – powerful, flexible, and highly performant Python ASGI framework

1. litestar

   1 33 6,589 9.5 Python

   Production-ready, Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs

   

   What would you like to see here? Could you perhaps open an issue at https://github.com/litestar-org/litestar so we can track and implement this?

   If you are just needing a client what you need should be available OOTB, unless you want more hands off.

   Here is also a good article for example: https://dev.to/pbaletkeman/secure-python-litestar-site-with-...

2. InfluxDB

   www.influxdata.com featured

   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

3. litestar-fullstack

   2 2 435 7.2 Python

   Litestar Fullstack Reference Application with React, Vite, SQLAlchemy, Docker, Task Queues, and more!

   

   - Vite/React/Tailwind for the frontend, with [Orval](https://orval.dev/) to generate FE definitions based on the API spec.

   For non-API/SPA use-cases, it also has good HTML support, with built-in Jinja and HTMX integrations. The docs are great (https://docs.litestar.dev/latest/ - not quite Django-tier but that's the gold standard), however the reference application is a tad too complex imo (https://github.com/litestar-org/litestar-fullstack).

   https://github.com/litestar-org/awesome-litestar has a list of useful extensions - highly recommend trying it out if you are starting a new Python web project.

4. NGINX Unit

   3 19 5,519 9.1 C

   NGINX Unit is a lightweight and versatile open-source web app server that has three core capabilities. It is a HTTP reverse proxy, a web server for static media assets, and an application server that can natively execute application code in seven different languages.

   

5. awesome-litestar

   4 1 112 4.7 Makefile

   A curated list of resources related to Litestar.

   

   - Vite/React/Tailwind for the frontend, with [Orval](https://orval.dev/) to generate FE definitions based on the API spec.

   For non-API/SPA use-cases, it also has good HTML support, with built-in Jinja and HTMX integrations. The docs are great (https://docs.litestar.dev/latest/ - not quite Django-tier but that's the gold standard), however the reference application is a tad too complex imo (https://github.com/litestar-org/litestar-fullstack).

   https://github.com/litestar-org/awesome-litestar has a list of useful extensions - highly recommend trying it out if you are starting a new Python web project.

6. saq

   5 7 676 9.1 Python

   Simple Async Queues

   

7. orval

   6 22 3,942 9.6 TypeScript

   orval is able to generate client with appropriate type-signatures (TypeScript) from any valid OpenAPI v3 or Swagger v2 specification, either in yaml or json formats. 🍺

   

   - Vite/React/Tailwind for the frontend, with [Orval](https://orval.dev/) to generate FE definitions based on the API spec.

   For non-API/SPA use-cases, it also has good HTML support, with built-in Jinja and HTMX integrations. The docs are great (https://docs.litestar.dev/latest/ - not quite Django-tier but that's the gold standard), however the reference application is a tad too complex imo (https://github.com/litestar-org/litestar-fullstack).

   https://github.com/litestar-org/awesome-litestar has a list of useful extensions - highly recommend trying it out if you are starting a new Python web project.

8. fastapi

   7 546 84,506 9.8 Python

   FastAPI framework, high performance, easy to learn, fast to code, ready for production

   

   It’s been my experience that async Python frameworks tend to turn IO bound problems into CPU bound problems with a high enough request rate, because due to their nature they act as unbounded queues.

   This ends up made worse if you’re using sync routes.

   If you’re constrained on a resource such as a database connection pool, your framework will continue to pull http requests off the wire that a sane client will cancel and retry due to timeouts because it takes too long to get a connection out of the pool. Since there isn’t a straightforward way to cancel the execution of a route handler in every Python http framework I’ve seen exhibit this problem, the problem quickly snowballs.

   This is an issue with fastapi, too- https://github.com/tiangolo/fastapi/issues/5759

9. SaaSHub

   www.saashub.com featured

   SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

   

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