panel
alive-progress
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panel | alive-progress | |
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39 | 6 | |
4,160 | 5,094 | |
6.3% | - | |
9.9 | 5.6 | |
7 days ago | about 2 months ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT 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.
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.
alive-progress
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I am a proficient Python coder whose learning has plateaued. Any really useful libraries I should look into learning? Taking recommendations.
And here are some libraries that might pique your interest although they don't strictly answer your question: - tqdm for adding a progress bar on for loops (it comes with useful information like iteration per second and estimated time needed to finish) - alive_progress adds a progress bar like tqdm, but it works even with generators and while loops which I don't think tqdm does. -timebudget, with just a decorator as soon as a function is completed it prints the time taken to execute it - send2trash for sending files to the trash bin instead of permanently deleting them - keyboard for sending keyboard inputs or check if a key is pressed - mouse same as keyboard but with mouse buttons - textract for extracting text from many types of file with a single interface. It supports documents, powerpoint presentations, csv, excels, images, gifs, audio, and many more
- Alive Progress: A new kind of Progress Bar
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A new kind of Progress Bar for Python
I still have to write about all the 2.0 features, the largest release I'll ever do... 😅 => https://github.com/rsalmei/alive-progress/pull/51
What are some alternatives?
streamlit - Streamlit — A faster way to build and share data apps.
tqdm - :zap: A Fast, Extensible Progress Bar for Python and CLI
dash - Data Apps & Dashboards for Python. No JavaScript Required.
rich - Rich is a Python library for rich text and beautiful formatting in the terminal.
gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
CUTIE - Command line User Tools for Input Easification
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
progressbar - Terminal-based progress bar for Java / JVM
appsmith - Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
enlighten - Enlighten Progress Bar for Python Console Apps
jupyterlite - Wasm powered Jupyter running in the browser 💡
PBar - Small python library to display customizable progress bars on the terminal easily.