firebuild
quart
| firebuild | quart | |
|---|---|---|
| 6 | 5 | |
| 117 | 2,634 | |
| 0.9% | 1.8% | |
| 9.1 | 8.0 | |
| 8 days ago | 6 days ago | |
| C++ | Python | |
| GNU General Public License v3.0 or later | 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.
firebuild
- I Improved My Rust Compile Times by 75%
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More than 10x faster Rust + Cargo builds with Firebuild cache
It is true that the license is not OSI-approved, but it allows redistributing, studying and modifying the source as discussed in the Debian packaging intent. As the license states it is free for non-commercial use and commercial use requires a paid license to fund development. It is also free for public GitHub repositories, even for commercial projects: https://github.com/apps/firebuild.
- Firebuild
-
Ask HN: What have you created that deserves a second chance on HN?
https://github.com/firebuild/firebuild : A caching build accelerator like ccache, but for any compiler or random script.
There is a short intro: https://balintreczey.hu/blog/how-to-speed-up-your-next-build...
It did not get to the first page in the first round:
- Show HN: Firebuild – automatic accelerator for builds and just random commands
quart
-
Ask HN: What have you created that deserves a second chance on HN?
I've three things :),
1. Quart, https://quart.palletsprojects.com, an ASGI (async/await) re-implementation of the Python web MicroFramework Flask. It is now maintained alongside, by the same people, as Flask.
2. Hypercorn, https://hypercorn.readthedocs.io, an ASGI/WSGI server that supports HTTP/1, HTTP/2, and HTTP/3.
3. My book "A Blueprint for Production-Ready Web Applications", which uses both of the above and shows a beginner how to build a full stack app (React frontend) running on AWS. See https://pgjones.dev/tozo/ for details, code, and link to the example app.
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How does a single running instance of a Flask application handle multiple requests at once? Is it all async or multithreaded? Or handled by the webserver (NGINX, gunicorn, etc)?
If you want async flask, you should use quart for now. The roadmap is to fully incorporate quart into flask at some point, but it’s unclear when that’s going to happen.
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This Week In Python
quart – An async Python micro framework for building web applications
- Quart: An async Python micro framework for building web applications
- Quart, the async implementation of Flask has joined Pallets
What are some alternatives?
hckrweb - Hcker News mobile web app
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
tripods-web - A puzzle game.
Flask - The Python micro framework for building web applications.
ultra-weather - UltraWeather gives user-friendly, actionable weather forecasts.
starlette - The little ASGI framework that shines. 🌟
KaithemAutomation - Pure Python, GUI-focused home automation/consumer grade SCADA
flask-pydantic - flask extension for integration with the awesome pydantic package
sccache - Sccache is a ccache-like tool. It is used as a compiler wrapper and avoids compilation when possible. Sccache has the capability to utilize caching in remote storage environments, including various cloud storage options, or alternatively, in local storage.
flask-smorest - DB agnostic framework to build auto-documented REST APIs with Flask and marshmallow
osxphotos - Python app to work with pictures and associated metadata from Apple Photos on macOS. Also includes a package to provide programmatic access to the Photos library, pictures, and metadata.
django-awl - Miscellaneous django tools