pitchfork | Flask | |
---|---|---|
13 | 135 | |
653 | 66,417 | |
2.5% | 0.4% | |
8.5 | 8.7 | |
21 days ago | about 21 hours ago | |
Ruby | Python | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" 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.
pitchfork
- Rage: Fast web framework compatible with Rails
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Ruby 3.2.0 Is from Another Dimension
Depends what you are after and what you are constrained by.
Some people might be struggling with memory usage and may not see it as worth it, but for others who may have some extra RAM sitting around, it might come as a free perf increase.
As for memory usage, proper use of CoW can reduce it dramatically: https://github.com/Shopify/pitchfork/blob/master/benchmark/R...
- Pitchfork: Rack HTTP server for shared-nothing architecture
- Shopify makes new web server Pitchfork based on Unicorn that forks a warmed up Ruby VM to service requests
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a new web server GitHub - Shopify/pitchfork
Reforking yes, all explained here
Flask
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Ask HN: High quality Python scripts or small libraries to learn from
I'd suggest Flask or some of the smaller projects in the Pallets ecosystem:
https://github.com/pallets/flask
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Rapid Prototyping with Flask, Bootstrap and Secutio
#!/usr/bin/python # # https://flask.palletsprojects.com/en/3.0.x/installation/ # from flask import Flask, jsonify, request contacts = [ { "id": "1", "firstname": "Lorem", "lastname": "Ipsum", "email": "[email protected]", }, { "id": "2", "firstname": "Mauris", "lastname": "Quis", "email": "[email protected]", }, { "id": "3", "firstname": "Donec Purus", "lastname": "Purus", "email": "[email protected]", } ] app = Flask(__name__, static_url_path='', static_folder='public',) @app.route("/contact//save", methods=["PUT"]) def save_contact(id): data = request.json contacts[id - 1] = data return jsonify(contacts[id - 1]) @app.route("/contact/", methods=["GET"]) @app.route("/contact//edit", methods=["GET"]) def get_contact(id): return jsonify(contacts[id - 1]) @app.route('/') def root(): return app.send_static_file('index.html') if __name__ == '__main__': app.run(debug=True)
- Microdot "The impossibly small web framework for Python and MicroPython"
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Why do all the popular projects use relative imports in __init__ files if PEP 8 recommends absolute?
I was looking at all the big projects like numpy, pytorch, flask, etc.
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10 Github repositories to achieve Python mastery
Explore here.
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Ask HN: What would you use to build a mostly CRUD back end today?
I may use Flask-Admin initially to offload the "CRUD" operations to have an initial prototype fast but then drop it ASAP because I don't want to write a "flask-admin application" to fight against later on. If the application is mainly "CRUD", then Flask-Admin is suitable.
Now...
Would you do a breakdown/list of all the jobs you've done by sector/vertical and by function/role and by application functionality?
- [0]: https://flask.palletsprojects.com
- [1]: https://flask-admin.readthedocs.io/en/latest
- [2]: https://flask.palletsprojects.com/en/2.3.x/patterns/celery
- [3]: https://sentry.io
- [4]: https://posthog.com
- [5]: https://www.docker.com
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Implementing continuous delivery pipelines with GitHub Actions
In the lab to follow, we will be setting up an end-to-end DevOps workflow for a Flask microservice with GitHub Actions, using a self-managed custom runner for maximal control over the pipeline execution environment and automating deployments to a local Kubernetes cluster. Furthermore, we will construct separate pipelines for our "development" and "production" environments to further elaborate on the concepts of continuous deployment and delivery.
- How do you iterate on a library built locally?
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Flask Application Load Balancing using Docker Compose and Nginx
Flask Micro web Framework: You will use Flask to build a Flask web application.
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Open Source Flask-based web applications
In an earlier post I mentioned a bunch of Open Source web applications. Let's now focus on the ones written in Python using Flask the light-weight web framework.
What are some alternatives?
Puma - A Ruby/Rack web server built for parallelism
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
falcon - A high-performance web server for Ruby, supporting HTTP/1, HTTP/2 and TLS.
Django - The Web framework for perfectionists with deadlines.
distribution - Probability distributions for Ruby.
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
WASI - WebAssembly System Interface
starlette - The little ASGI framework that shines. 🌟
grpc_kit - A kit for creating gRPC server/client in Ruby.
quart - An async Python micro framework for building web applications.
vim-matchup - vim match-up: even better % :facepunch: navigate and highlight matching words :facepunch: modern matchit and matchparen. Supports both vim and neovim + tree-sitter.
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.