1.plotly / plotly.py
The interactive graphing library for Python :sparkles:
+15 stars
from 18,853 · score 2.77
Trending repositories
Ranked by Attention Score: stars gained over the last 7 complete days
22 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
2.pyvista / pyvista
3D visualization and mesh analysis for science and engineering
+10 stars
from 3,861 · score 2.40
3.Kanaries / pygwalker
PyGWalker: Turn your dataframe into an interactive UI for visual analysis
+9 stars
from 15,994 · score 2.30
4.mckinsey / vizro
Vizro is a low-code toolkit for building high-quality data visualization apps.
+8 stars
from 3,810 · score 2.20
5.JPCERTCC / LogonTracer
Investigate malicious Windows logon by visualizing and analyzing Windows event log
+5 stars
from 3,294 · score 1.79
6.napari / napari
napari: a fast, interactive, multi-dimensional image viewer for python
+5 stars
from 2,786 · score 1.79
7.git-cola / git-cola
git-cola: The highly caffeinated Git GUI
+3 stars
from 2,584 · score 1.39
8.marcomusy / vedo
A python module for scientific analysis of 3D data based on VTK and Numpy
+2 stars
from 2,272 · score 1.10
9.eralchemy / eralchemy
Entity Relation Diagrams generation tool
+2 stars
from 1,431 · score 1.10
10.negrinho / sane_tikz
Reconquer the canvas: beautiful Tikz figures without clunky Tikz code
+2 stars
from 430 · score 1.10
11.vaexio / vaex
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
+1 stars
from 8,517 · score 0.69
12.microsoft / MMdnn
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
+1 stars
from 5,803 · score 0.69
13.lux-org / lux
Automatically visualize your pandas dataframe via a single print! 📊 💡
+1 stars
from 5,379 · score 0.69
14.DistrictDataLabs / yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
+1 stars
from 4,407 · score 0.69
15.h2oai / wave
Realtime Web Apps and Dashboards for Python and R
+1 stars
from 4,260 · score 0.69
16.spotify / chartify
Python library that makes it easy for data scientists to create charts.
+1 stars
from 3,655 · score 0.69
17.graphistry / pygraphistry
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
+1 stars
from 2,575 · score 0.69
18.AutoViML / AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
+1 stars
from 1,903 · score 0.69
19.daleroberts / itermplot
An awesome iTerm2 backend for Matplotlib, so you can plot directly in your terminal.
+1 stars
from 1,499 · score 0.69
20.ozeranskii / httptap
Rich-powered CLI that breaks each HTTP request into DNS, connect, TLS, wait, and transfer phases with waterfall timelines, compact summaries, or metrics-only output.
+1 stars
from 845 · score 0.69
21.brainglobe / brainrender
A Python package to visualise neuroanatomical data in atlas space
+1 stars
from 681 · score 0.69
22.dmunish / notecharts
Modern, interactive charts for Jupyter notebooks with Apache ECharts
+1 stars
from 6 · score 0.69