domonic
panel
| domonic | panel | |
|---|---|---|
| 32 | 39 | |
| 130 | 4,235 | |
| - | 5.5% | |
| 6.1 | 9.9 | |
| 3 months ago | 2 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.
domonic
- Ludic: New framework for Python with seamless Htmx support
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Sunday Daily Thread: What's everyone working on this week?
I did the 100th release of this python DOM 0.9.11... https://github.com/byteface/domonic
I've managed to tweak domonic (https://github.com/byteface/domonic) to work with elementpath (https://github.com/sissaschool/elementpath)...
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Web Scraping Open Knowledge
I'm not sure about quicker. Doesn't scrapy use elementpath?. which converts a css query to an xpath under the hood as there is no complete CSSOM available for python. Likely as there is no modern standards based python dom to operate on so doing it on lxml tree is probably the best option. I find the main difference is xpath can return an attribute value where as css returns the node. You can use either from the terminal in my lib... https://github.com/byteface/domonic (as it uses elementpath like scrapy)
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5% of the 420 python codebases we checked had silently skipped tests - including big projects with over 50k stars and 20k forks
Thanks for your tool. I've been using it this week and updated a bunch of code. You are now a contributer... https://github.com/byteface/domonic/pull/58
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htmlx - a pure python dom
[domonic](https://domonic.readthedocs.io/) will continue to evolve. It's a pure python dom I been working on in free time over last 2 years... https://github.com/byteface/domonic/
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Saturday Daily Thread: Resource Request and Sharing! Daily Thread
and used it on my lib yesterday... https://github.com/byteface/domonic/commit/96a91bbf3ee6f672bc1c0e5978f55e45706392aa
- an evolving python DOM for creating html
- PyML - A python library to build html.
- A python 3 library to create HTML with an evolving DOM API
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?
pglet - Pglet - build internal web apps quickly in the language you already know!
streamlit - Streamlit — A faster way to build and share data apps.
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.
dash - Data Apps & Dashboards for Python. No JavaScript Required.
examples - Sample apps for Pglet
gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Flask - The Python micro framework for building web applications.
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
enaml-web - Build interactive websites with enaml
appsmith - Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
TurboGears - Python web framework with full-stack layer implemented on top of a microframework core with support for SQL DBMS, MongoDB and Pluggable Applications
jupyterlite - Wasm powered Jupyter running in the browser 💡