dash-local-react-components
TinyFeed
dash-local-react-components | TinyFeed | |
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1 | 2 | |
22 | 12 | |
- | - | |
10.0 | 1.6 | |
over 1 year ago | about 1 year ago | |
Python | Python | |
MIT License | MIT License |
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dash-local-react-components
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Faster prototyping of local ract.js components in Dash Plotly visualizations using the dash-local-react-components package
dash-local-react-components is a small library that helps with speeding up the prototyping phase of Dash visualizations that contain small react components.
TinyFeed
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I built a YouTube channel / playlist feed aggregator to keep track of YouTube channels and playlists in python and flask.
Link to github repo
- I built a YouTube channel / playlist feed aggregator to keep track of my favorite YouTube channels and playlists. I think it is ideal for anyone who does not want to log in to their google account for the sake of YouTube. It is powered by flask and requests and does not make any use of API keys.
What are some alternatives?
vizro - Vizro is a toolkit for creating modular data visualization applications.
microblog - The microblogging application developed in my Flask Mega-Tutorial series. This version maps to the 2024 Edition of the tutorial.
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
reader - A Python feed reader library.
Dash.jl - Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.
usocial - Read. Listen. Pay back. The podcast client and feed reader for your personal server. With Lightning Network support.
MAGI - MAGI system is a cluster of three AI supercomputers that manage and support all task performed by the NERV organization from their Tokyo-3 headquarter.
Instant-Host - Host static pages and Files from your Terminal. It can host your HTML, JSON, XML, and many non-binary files. All hosted files are encrypted and compressed.
twitterbot2 - Like and retweet your tweets, or search tweets by topic. It stores and serves data with a Flask webapp. 🐦 Live demo running on twitter.com/ai_testing