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

• litestar

  27 4,416 9.8 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-...

• litestar-fullstack

  2 240 8.7 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.

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• NGINX Unit

  16 5,092 9.5 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.

  

• awesome-litestar

  1 37 7.1 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.

• saq

  7 373 7.7 Python

  Simple Async Queues

• orval

  20 2,257 9.5 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.

• fastapi

  466 70,779 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

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

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