Graphene
Flask
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Graphene | Flask | |
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19 | 134 | |
7,945 | 66,108 | |
0.5% | 0.6% | |
5.0 | 8.7 | |
about 1 month 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.
Graphene
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Who moved my error codes? Adding error types to your GoLang GraphQL Server
And gqlgen is not alone in this. We found several more GraphQL frameworks that don’t take it upon themselves to address this problem. Widely used GraphQL server implementations, such as graphql-go/graphql and Python’s graphene, have the exact same gap of exposing messages of unexpected errors by default.
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Using GraphQL with Strawberry, FastAPI, and Next.js
There are multiple Python-based GraphQL libraries and they all vary slightly from each other. For the longest time, Graphene was a natural choice as it was the oldest and was used in production at different companies, but now other newer libraries have also started gaining some traction.
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Wasmer and Trademarks
> But you need to know that Wasmer and its sibling projects will stay free forever. We are open source lovers, all of us, and we have a strong background on working on open source projects before joining Wasmer too.
That's great. I'm sure the closed source paid 10x faster editions of the graphene Python GraphQL server written by Syrus "CEO of Graphene" and CEO of wasmer will be open sourced in this spirit.
https://github.com/graphql-python/graphene/issues/268#issuec...
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[Python] What minimal application server do you run your Python x GraphQL services with? Django, Flask....
Thanks for the reply, I was looking at Strawberry a bit but not enough documentation for a graphql noob like me... Hate to turn this into tech support but could you potentially answer a question for me? I'm having a really hard time figuring out how to do this. Given this example: https://github.com/graphql-python/graphene/blob/master/examples/simple_example.py and a slight modification:
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Strawberry Django Plus: Enchanted Strawberry GraphQL integration with Django
Graphene was one of the first (if not the first) lib built on top of graphql-core to provide an easy to use api to build graphql applications. It's been around since 2015 and has a lot of integrations built for it (e.g. Django, SQL Alchemy, etc).
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Graphene 3.0 is released!
Perhaps I should have put another link as a submission. FWIW this document may serve as a rough upgrade guide: https://github.com/graphql-python/graphene/wiki/v3-release-notes
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Graphene VS strawberry - a user suggested alternative
2 projects | 7 Oct 2021
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How (Not) To Build Your Own GraphQL Server
You can find an example of a modern code-first way to build a GraphQL server is the Python library graphene. You can use Graphene build servers that connect with data sources like a database or custom Python objects. Below you can see what a basic implementation of a GraphQL server with Graphene looks like:
- Ask HN: What startup/technology is on your 'to watch' list?
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.
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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.
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I'm learning python but I'm confused for the path ahead.
I also suggest that once you've gained familiarity with the basics, you look at micro-frameworks, such as FastAPI and flask, before switching to a full fat framework like django, which will give you an appreciation of what opinionated frameworks such as django can do for you.
- I released my first package. Feedback needed.
What are some alternatives?
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
strawberry - A GraphQL library for Python that leverages type annotations 🍓
Django - The Web framework for perfectionists with deadlines.
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
quart - An async Python micro framework for building web applications.
starlette - The little ASGI framework that shines. 🌟
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.
uvicorn - An ASGI web server, for Python. 🦄
CherryPy - CherryPy is a pythonic, object-oriented HTTP framework. https://cherrypy.dev
ariadne - Python library for implementing GraphQL servers using schema-first approach.
web.py - web.py is a web framework for python that is as simple as it is powerful.
Bottle - bottle.py is a fast and simple micro-framework for python web-applications.