Bottle
fastapi
Our great sponsors
Bottle | fastapi | |
---|---|---|
21 | 462 | |
8,267 | 69,701 | |
0.4% | - | |
2.0 | 9.7 | |
about 2 months ago | 4 days ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Bottle
-
Ask HN: What are some unpopular technologies you wish people knew more about?
Bottle.py: uber-fast and simple python web microframework, about 3x faster, saner, and more memory-efficient than Flask in my experience: https://github.com/bottlepy/bottle
Fossil: distributed version control and much more in a single executable, from the creators of SQLite: https://fossil-scm.org/
-
I want to read good python code, where can I find some excellent code?
Here's a web framework in a single file: bottle.py
-
GitHub - miguelgrinberg/microdot: The impossibly small web framework for Python and MicroPython.
I don't do much development for microcontrollers or limited resource environments, but it's nice to have a low boilerplate tool for throwing together quick web apps. I've used Bottle for that in the past. It looks like this might have more of an API focus, rather than templates or static pages? Very cool, will check it out.
-
Server-side Dart
There was a time, I want to start a new project and have to choose what technologies to use for the frontend and backend parts as well. Research gets me to Aqueduct and Shelf, both of them weren't looking actively developing and supported and that leads me to the idea to make my own small micro-framework like Echo for Golang or Bottle for Python. And it was easy to decide: I've had time and motivation :)
-
Python frameworks | best web frameworks for python
It was developed by Marcel Hellkamp and Bottle was initially released on July 1 2009 it is cross-platform and open-source. its Github repository is https://github.com/bottlepy/bottle. It is integrated with Python, Vue JS, and Jinja.
-
Python Flask has no remaining open issues or pull requests
This post inspired me to check on Bottle, and it can't say the same: https://github.com/bottlepy/bottle
-
Looking for a drop in replacement for werkzeug
why not https://github.com/bottlepy/bottle the first python micro framework less than 5k of lines,
-
Which language to use along with Python ?
Another option you might want to look in to is small web server stuff. I do a lot of prototyping of REST services using Bottle (http://bottlepy.org/). It's so easy to get going and works really well. Plus my code is so decoupled that if I promote to a heavier-weight server I don't really have to worry much about it.
-
What're the cleanest, most beautifully written projects in Github that are worth studying the code?
Raymond Hettinger recommended bottle in one of his talks for exactly this reason, https://github.com/bottlepy/bottle
- Ask HN: Good Python projects to read for modern Python?
fastapi
-
LangChain, Python, and Heroku
An API application framework (such as FastAPI)
-
Litestar – powerful, flexible, and highly performant Python ASGI framework
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
-
AI-Powered Image Search with CLIP, pgvector, and Fast API
Fast API.
- Ask HN: What is your go-to stack for the web?
-
Fun with Avatars: Crafting the core engine | Part. 1
We will create our API using FastAPI, a modern high-performance web framework for building fast APIs with Python. It is designed to be easy to use, efficient, and highly scalable. Some key features of FastAPI include:
-
Building Fast APIs with FastAPI: A Comprehensive Guide
FastAPI is a modern, fast, web framework for building APIs with Python 3.7+ based on standard Python type hints. It is designed to be easy to use, fast to run, and secure. In this blog post, we’ll explore the key features of FastAPI and walk through the process of creating a simple API using this powerful framework.
-
Effortless API Documentation: Accelerating Development with FastAPI, Swagger, and ReDoc
FastAPI is a modern, fast web framework for building APIs with Python 3.7+ that automatically generates OpenAPI and JSON Schema documentation. While FastAPI simplifies API development, manually creating and updating API documentation can still be a time-consuming task. In this blog post, we’ll explore how to leverage FastAPI’s automatic documentation generation capabilities, specifically focusing on Swagger and ReDoc, and how to streamline the process of documenting your APIs.
-
Building a Dynamic Tile Server Using Cloud Optimized GeoTIFF(COG) with TiTiler
TiTiler is a dynamic tile server built on FastAPI and Rasterio/GDAL. Its main features include support for Cloud Optimized GeoTIFF(COG), multiple projection methods, various output formats (JPEG, JP2, PNG, WEBP, GTIFF, NumpyTile), WMTS, and virtual mosaic. It also provides Lambda and ECS deployment environments using AWS CDK.
-
Writing Clean Code with FastAPI Dependency Injection
To make it a bit more realistic, we’re going to use a FastAPI route as an example, and we’re also going to use FastAPI’s dependency injection, which can really help with readability (and testability, but more on that later).
-
🔥14 Excellent Open-source Projects for Developers😎
2. FastAPI - Turbocharge Your Web APIs with Python ⚡
What are some alternatives?
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
HS-Sanic - Async Python 3.6+ web server/framework | Build fast. Run fast. [Moved to: https://github.com/sanic-org/sanic]
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
django-ninja - 💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
Flask - The Python micro framework for building web applications.
swagger-ui - Swagger UI is a collection of HTML, JavaScript, and CSS assets that dynamically generate beautiful documentation from a Swagger-compliant API.
Django - The Web framework for perfectionists with deadlines.
starlite - Light, Flexible and Extensible ASGI API framework | Effortlessly Build Performant APIs [Moved to: https://github.com/litestar-org/litestar]
BentoML - Build Production-Grade AI Applications
django-rest-framework - Web APIs for Django. 🎸
quart - An async Python micro framework for building web applications.
chalice - Python Serverless Microframework for AWS