Awesome Python Data Science

Apache ECharts is a powerful, interactive charting and data visualization library for browser

Interactive Data Visualization in the browser, from Python

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

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.

A collection of infrastructure and tools for research in neural network interpretability.

Visual analysis and diagnostic tools to facilitate machine learning model selection.

Vizro is a low-code toolkit for building high-quality data visualization apps.

Python library that makes it easy for data scientists to create charts.

Sequential model-based optimization with a `scipy.optimize` interface

An intuitive library to add plotting functionality to scikit-learn objects.

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

🎆 A visualization of the CapsNet layers to better understand how it works

Python histogram library - histograms as updateable, fully semantic objects with visualization tools. [P]ython [HYST]ograms.