Visualization Libraries

111 Components & Libraries

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Visualization Libraries

Apache Superset is a Data Visualization and Data Exploration Platform

A modern, enterprise-ready business intelligence web application. Superset is a modern data exploration and data visualization platform. Superset can replace or augment proprietary business intellige…

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

It just takes a few lines of Python to create a beautiful demo like the one above, so let's get started 💫 You can run Gradio in your favorite code editor, Jupyter notebook, Google Colab, or anywhere …

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

Redash is designed to enable anyone, regardless of the level of technical sophistication, to harness the power of data big and small. SQL users leverage Redash to explore, query, visualize, and share…

Data Apps & Dashboards for Python. No JavaScript Required.

With Dash Open Source, Dash apps run on your local laptop or workstation, but cannot be easily accessed by others in your organization. Scale up with Dash Enterprise when your Dash app is ready for d…

Interactive Data Visualization in the browser, from Python

Non-monetary support can help with development, collaboration, infrastructure, security, and vulnerability management. The Bokeh project is grateful to the following companies for their donation of s…

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

A data visualization and analytics component, especially well-suited for large and/or streaming datasets.

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Aim is an open-source, self-hosted ML experiment tracking tool designed to handle 10,000s of training runs. Aim provides a performant and beautiful UI for exploring and comparing training runs. Addit…

Portfolio analytics for quants, written in Python

QuantStats: Portfolio analytics for quants ========================================== Here's an example of a simple tear sheet analyzing a strategy: Output: Output: You can create 7 different report …

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

Yellowbrick is compatible with Python 3.4 or later and also depends on scikit-learn and matplotlib. The simplest way to install Yellowbrick and its dependencies is from PyPI with pip, Python's prefer…

VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.

VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution. The preferred way to install VizTracer is via pip Assume you have a python script…

Debugging, monitoring and visualization for Python Machine Learning and Data Science

TensorWatch is a debugging and visualization tool designed for data science, deep learning and reinforcement learning from Microsoft Research. It works in Jupyter Notebook to show real-time visualiza…

Turns Data and AI algorithms into production-ready web applications in no time.

Taipy is designed for data scientists and machine learning engineers to build full-stack apps. To install Taipy stable release run: Below is our filter function. This is a typical Python …

🛠 All-in-one web-based IDE specialized for machine learning and data science.

The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on you…

Data Science Roadmap from A to Z

Pandas

App to easily query, script, and visualize data from every database, file, and API.

DataStation is an open-source data IDE for developers. It allows you to easily build graphs and tables with data pulled from SQL databases, logging databases, metrics databases, HTTP servers, and all…

Carefully curated resource links for data science in one place

A trove of carefully curated resources and links (on the topics of software, platforms, language, techniques, etc.) related to data science, all in one place. Homework 3

Log images, point clouds, etc, and visualize them effortlessly. Built in Rust using egui

Use one of our logging APIs (Python or Rust) to log rich data, such as images and point clouds, to the Rerun Viewer, where it is visualized live or after the fact. Some shortcomings: Rerun uses an op…

🙌 Welcome open-source Python mini-project contributions!

A collection of easy Python small projects to help you improve your programming skills. As a Python newbie, I understand the problems that people face when they first begin studying and attempting to…

Better GitHub statistics images for your profile, with stats from private repos too

Generate visualizations of GitHub user and repository statistics with GitHub Actions. Visualizations can include data for both private repositories, and for repositories you have contributed to, but …

The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

The ROOT system provides a set of modules with all the functionality needed to handle and analyze large amounts of data in a very efficient way. Having the data defined as a set of objects, specializ…

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

These lecture notes are intended for introductory linear algebra courses, suitable for university students, programmers, data analysts, algorithmic traders and etc. The lectures notes are loosely bas…

napari: a fast, interactive, multi-dimensional image viewer for python

It is recommended to install napari into a virtual environment, like this: From inside an IPython shell, you can open up an interactive viewer by calling All our layer types support n-dimensional dat…

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the most must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

Graphistry gets used on problems like visually mapping the behavior of devices and users, investigating fraud, analyzing machine learning results, and starting in graph AI. It provides point-and-clic…

Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. It alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance.

Because NannyML can estimate performance, it is possible to weed out data drift alerts that do not impact expected performance, combatting alert fatigue. Besides linking data drift issues to drops in…

Multiplatform plotting library based on the Grammar of Graphics

This grammar [...] is made up of a set of independent components that can be composed in many different ways. This makes [it] very powerful because you are not limited to a set of pre-specified graph…

Diskover Community Edition - Open source file indexer, file search engine and data management and analytics powered by Elasticsearch

diskover is an open source file system indexer that uses Elasticsearch to index and manage data across heterogeneous storage systems. Using diskover, you are able to more effectively search and organ…

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