Renderers and renderer extensions for JupyterLab
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Updated
Feb 20, 2025 - HTML
Renderers and renderer extensions for JupyterLab
This repository provide tutorials regarding using Plotly offline package in python.
An R package to plot interactive three-way differential expression analysis
🚀 CRYPTO SUPER SCREENER 🚀 Forget TradingView. THIS is the BEST Screener for Crypto (ALL exchanges supported by CCXT). FILTERING and GRID WATCHING ANY amount of crypto CHARTS simultaneously!
compare sequences to a shared root reference sequence.
🎟Using Plotly to visualize data from Lollapalooza
describer: an interactive table interface for data summaries
A convenient but aesthetic way of creating a GANTT chart thanks to Plotly library (especially for everyone who doesn't want to do one). But what is a GANNT ? https://en.wikipedia.org/wiki/Gantt_chart And what Plotly currently offer : https://plotly.com/python/gantt/
This is a repository for resources completed as part of the Johns Hopkins University Data Visualization and Dashboarding With R Specialization.
MerCat2: python code for versatile k-mer counting and diversity estimation for database independent property analysis for metaome data
Uses Sankey Diagrams to visualize politicians that have "crossed the floor" from election to election.
Automate Visualization of realtime data streams in chart.JS using Flask in python3.
A Jupyter Book (v0.6.4) that contains figures for the Phase-unwrapping research paper (written in Julia). First author Nan-kuei Chen and second author Pei-Hsin Wu, report a new postprocessing procedure that uses Fourier‐domain data analyses to improve the accuracy and reliability of phase unwrapping for MRI data of low SNR.
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