sierra
panel
| sierra | panel | |
|---|---|---|
| 16 | 39 | |
| 89 | 4,260 | |
| - | 6.0% | |
| 6.7 | 9.9 | |
| 3 months ago | about 7 hours ago | |
| Python | Python | |
| Apache License 2.0 | 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.
sierra
- Lona - A web framework for responsive web apps in full python
- Template-less HTML rendering in Python
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A Python native engine for Web Development
Sierra is a Python native engine for Web Development, which makes integration with the backend faster, as well as have full control on your frontend. You can now develop your web application purely in Python, taking full advantage of its powerful functionalities with simple and elegant.
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Show HN: A Python native engine for web development
Sorry, but this is really not suitable for much. There is so much wrong with this implementation that I’m not sure where to start. Every call to your template writes to a single file called “index.html”[1] which is then copied to another file when “written”? You also print exceptions rather than allowing people to handle them as they wish.
The idea is nice, but try and remove all file system calls and do this entirely in-memory.
1. https://github.com/BrainStormYourWayIn/sierra/blob/main/src/...
2. https://github.com/BrainStormYourWayIn/sierra/blob/main/src/...
- Show HN: Sierra – A micro templating engine purely in Python
- What do you guys think of Dominate? Use cases?
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How can I display a graph on my Flask app?
You could try Sierra, if you want to do it purely in Python
- Can you convert python to JavaScript with libraries?
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Flask templating with Sierra?
Here's the GitHub and the documentation to it
- Python framework for WAY easier integration with HTML and CSS (you can basically use all of Python's functionalities on your web application with a much easier process)
panel
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This Week In Python
panel – data exploration & web app framework for Python
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panel VS solara - a user suggested alternative
2 projects | 13 Oct 2023
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What python library you are using for interactive visualisation?(other than plotly)
https://panel.holoviz.org/ It's a web app framework for Python similar to what Dash does for plotly. It plays nicely with bokeh visuals and I think the front-end is built using bokeh css elements.
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FastAPI, Panel and Bokeh
I'm following the Panel FastAPI example here: https://github.com/holoviz/panel/blob/main/examples/apps/fastApi/main.py
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How to approach GIS and which language to use
If you want to build Python dashboards, look at the solara (react-style lib, https://solara.dev/) and panel (https://panel.holoviz.org/).
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Panel - A high-level app and dashboarding solution for Python
panel
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Ask HN: Fastest way to turn a Jupyter notebook into a website these days?
My suggestion is https://panel.holoviz.org/
Fully open sourced, makes it easy to make reactive apps with small changes, can even configured as a graphical REPL.
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Updating a page with MQTT
I am doing something like this in a [panel](https://panel.holoviz.org/) dashboard, which I am currently converting to nicegui. Maybe I can provide an example in some days.
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Mercury – Turn Python Notebooks to Web Apps
Ill have to check it out and see how it compares to voilà and holoviz panel. What I like about Holoviz panel is you can create a data web app from code that resides in a notebook or create a completely standalone app from just plain py scripts, and it supports many different visualization backends. I have found it to be the more flexible and generalizable data web app framework among the others I have come across (like Voilà, Dash, Plotly, and Streamlit).
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4 Streamlit Alternatives for Building Python Data Apps
Like the previous three alternatives, Panel is an open-source Python library for creating interactive dashboard web apps. Panel is extremely flexible, allowing you to use any plotting library you like. Like Gradio but unlike Streamlit, you can use Panel in Jupyter notebooks. Panel dashboards can also be deployed as standalone web apps, but like Plotly Dash, you'll need to set up a server to deploy it yourself.
What are some alternatives?
domonic - Create HTML with python 3 using a standard DOM API. Includes a python port of JavaScript for interoperability and tons of other cool features. A fast prototyping library.
streamlit - Streamlit — A faster way to build and share data apps.
lona-project-template
dash - Data Apps & Dashboards for Python. No JavaScript Required.
wasmer-python - 🐍🕸 WebAssembly runtime for Python
gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
reactpy - It's React, but in Python
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
dominate - Dominate is a Python library for creating and manipulating HTML documents using an elegant DOM API. It allows you to write HTML pages in pure Python very concisely, which eliminate the need to learn another template language, and to take advantage of the more powerful features of Python.
appsmith - Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
enaml-web - Build interactive websites with enaml
jupyterlite - Wasm powered Jupyter running in the browser 💡