MatplotCLI Create matplotlib visualizations from the command-line MatplotCLI is a simple utility to quickly create plots from the command-line, levera

chem: collection of mostly python code for molecular visualization, QM/MM, FEP,

Dashboard and intuitive data downloader for more interactive experience with interpreting osm change data.

Bokeh-Python-Visualization A Bokeh project developed for learning and teaching Bokeh interactive plotting! See my medium blog posts about making bokeh

A simple visual node editor for Python Ryven combines flow-based visual scripting with Python. It gives you absolute freedom for your nodes and a simp

emcee The Python ensemble sampling toolkit for affine-invariant MCMC emcee is a stable, well tested Python implementation of the affine-invariant ense

A collection of Deep Learning images and visualizations. The project has been developed by the AI Summer team and currently contains almost 100 images.

Data visualisation Hey, You can learn Basic to advanced level Data visualisation techniques from this Repository. Data visualization is the graphic re

X4DS This repo is a collection of Python & Julia port of codes in the following excellent R books: An Introduction to Statistical Learning (ISLR) Stat

PyDLC - Density Line Charts with Python Python implementation of the Density Line Chart (Moritz & Fisher, 2018) to visualize large collections of time

Personal IMDB Graphs with Bokeh Do you like watching movies and also rate all of them in IMDB? Would you like to look at your IMDB stats based on your

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Check out our home page for more inform

ivis Implementation of the ivis algorithm as described in the paper Structure-preserving visualisation of high dimensional single-cell datasets. Ivis

Welcome to TensorWatch TensorWatch is a debugging and visualization tool designed for data science, deep learning and reinforcement learning from Micr

attractors Attractors is a package for simulation and visualization of strange attractors. Installation The simplest way to install the module is via

monolens View part of your screen in grayscale or filtered to simulate color vision deficiency. Watch the demo on YouTube. Install with pip install mo

SpecViewer A simple visualization tool for astronomers. Dependencies Python = 3.7.4 PyQt5 = 5.15.4 pyqtgraph == 0.10.0 numpy = 1.19.4 How to use py

An interactive NVIDIA-GPU process viewer, the one-stop solution for GPU process management.

MINT (Metabolomics Integrator) The Metabolomics Integrator (MINT) is a post-processing tool for liquid chromatography-mass spectrometry (LCMS) based m

YOPO is an interactive dashboard which generates various standard plots.you can create various graphs and charts with a click of a button. This tool uses Dash and Flask in backend.