quart-schema
Quart-Schema is a Quart extension that provides schema validation and auto-generated API documentation. (by pgjones)
dash
Data Apps & Dashboards for Python. No JavaScript Required. (by plotly)
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| quart-schema | dash | |
|---|---|---|
| 3 | 56 | |
| 69 | 20,472 | |
| - | 1.5% | |
| 7.7 | 9.6 | |
| 15 days ago | 6 days ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
quart-schema
Posts with mentions or reviews of quart-schema.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-22.
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FASTAPI VS QUART (again)
Thanks, this is a good suggestion - I've added https://github.com/pgjones/quart-schema/commit/b206f15a0985942bd704f3e78b4906cb4d0f0afc and hope to release soon.
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Quart is now a Pallets project
You can do the same, with very similar code, with e.g. Flask-Pydantic-Spec or Quart-Schema as both generate the OpenAPI specs from Pydantic models.
- Python Flask has no remaining open issues or pull requests
dash
Posts with mentions or reviews of dash.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-10-13.
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dash VS solara - a user suggested alternative
2 projects | 13 Oct 2023
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[Python] NiceGUI: Lassen Sie jeden Browser das Frontend für Ihren Python-Code sein
Of course there are valid use cases for splitting frontend and backend technologies. NiceGUI is for those who don’t want to leave the Python ecosystem and like to reap the benefits of having all code in one place. There are other options like Streamlit, Dash, Anvil, JustPy, and Pynecone. But we initially created NiceGUI to easily handle the state of external hardware like LEDs, motors, and cameras. Additionally, we wanted to offer a gentle learning curve while still providing the ability to go all the way down to HTML, CSS, and JavaScript if needed.
- Visualizing parquet in s3 bucket for data analysis?
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Little guidance of a python newbie
You could use something like Streamlit or Dash. In any case you will be accessing your app through the browser.
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Launch HN: Pynecone (YC W23) – Web Apps in Pure Python
Useful list. Dash & bokeh as two more in the space
https://github.com/plotly/dash
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Python projects with best practices on Github?
I also heard of Dash which serves the same purpose I guess, but I think it has more to offer.
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4 Streamlit Alternatives for Building Python Data Apps
Plotly is a plotting library, and Dash is their open-source framework for building data apps with Python, R or Julia. (Dash also has an Enterprise version, but we'll focus on the open-source library here.)
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NiceGUI: Let any browser be the frontend for your Python code
Of course there are valid use cases for splitting frontend and backend technologies. NiceGUI is for those who don’t want to leave the Python ecosystem and like to reap the benefits of having all code in one place. There are other options like Streamlit, Dash, Anvil, JustPy, and Pynecone. But we initially created NiceGUI to easily handle the state of external hardware like LEDs, motors, and cameras. Additionally, we wanted to offer a gentle learning curve while still providing the ability to go all the way down to HTML, CSS, and JavaScript if needed.
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Sharing interactive Plotly graphs
looks like you can get it manually (albeit with a loss of interactivity) https://github.com/plotly/dash/issues/145
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Containerizing Shiny for Python and Shinylive Applications
Shiny is a framework that makes it easy to build interactive web applications. Shiny was introduced 10 years ago as an R package. In his 10th anniversary keynote speech, Joe Cheng announced Shiny for Python at the 2022 RStudio Conference. Python programmers can now try out Shiny to create interactive data-driven web applications. Shiny comes as an alternative to other frameworks, like Dash, or Streamlit.
What are some alternatives?
When comparing quart-schema and dash you can also consider the following projects:
connexion - Connexion is a modern Python web framework that makes spec-first and api-first development easy.
streamlit - Streamlit — A faster way to build and share data apps.
apiflask - A lightweight Python web API framework.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
flask-pydantic - flask extension for integration with the awesome pydantic package
panel - Panel: The powerful data exploration & web app framework for Python
starlette - The little ASGI framework that shines. 🌟
uvicorn - An ASGI web server, for Python. 🦄
Jinja2 - A very fast and expressive template engine.
Flask - The Python micro framework for building web applications.
nicegui - Create web-based user interfaces with Python. The nice way.