reactpy
Flask
reactpy | Flask | |
---|---|---|
30 | 135 | |
7,665 | 66,488 | |
0.5% | 0.6% | |
7.3 | 8.7 | |
15 days ago | 3 days ago | |
Python | Python | |
MIT License | 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.
reactpy
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reactpy VS solara - a user suggested alternative
2 projects | 13 Oct 2023
- Reflex – Web apps in pure Python
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Front-end chatbot for my langchain bot
Havent used this yet, but I heard some great reviews about reactpy
- Learning JavaScript isn’t all too hard but still nice addition….right?
- React, but in Python
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It's React, but in Python
ReactPy dev here. We haven't actually landed on how we want to solve this problem at the moment. We have some ideas though. Would be curious to hear your thoughts on this issue: https://github.com/reactive-python/reactpy/issues/828
We think option 4 looks the most appealing.
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ReactPy: Build ReactJS Interfaces in Pure Python
Feel free to look at this issue for some history.
I'm primarily the maintainer of our Django integrations, and haven't frequently maintained ReactPy Core. As a result I'm not well versed on terminology such as flux architecture. However, what you described is how our stack currently operates.
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?
dash - Data Apps & Dashboards for Python. No JavaScript Required.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
ipywidgets - Interactive Widgets for the Jupyter Notebook
Django - The Web framework for perfectionists with deadlines.
wave - Realtime Web Apps and Dashboards for Python and R
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
wasmer-python - 🐍🕸 WebAssembly runtime for Python
starlette - The little ASGI framework that shines. 🌟
htmx - </> htmx - high power tools for HTML
quart - An async Python micro framework for building web applications.
idom-client-react - THIS PROJECT HAS MOVED
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.