201.uber / react-vis
Data Visualization Components
- uber
- chart
- data-visualization
- charting-library
- visualization
- react
Ranked by Attention Score: stars gained over the last 30 complete days
201–300 of 427 by Attention Score · Oct 6, 2026 – Nov 4, 2026 (UTC)
Data Visualization Components
A scikit-learn compatible neural network library that wraps PyTorch
Impress your boss and turn a Jupyter notebook into a beautiful, shareable web app — no callbacks, no frontend, no rewrite.
Open-source reporting platform to build and share live dashboards from APIs, SQL and NoSQL databases, with powerful AI assistant, scheduling, and embeddable charts 📈📊
Graph drawing library for JavaScript
:bar_chart: A library of modular chart components built on D3
Clean APIs for data cleaning. Python implementation of R package Janitor
Python package for graph statistics
Apache StreamPipes - A self-service (Industrial) IoT toolbox to enable non-technical users to connect, analyze and explore IoT data streams.
Autonomous multi-agent framework to optimize scientific software
stable diffusion webui colab
:bar_chart: A D3-based reusable chart library
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Automatically visualize your pandas dataframe via a single print! 📊 💡
Python library that makes it easy for data scientists to create charts.
The machine learning toolkit for time series analysis in Python
A well tested and comprehensive Golang statistics library package with no dependencies.
React data visualization library for streaming, networks, and AI-assisted development
Lightweight analytics abstraction layer for tracking page views, custom events, & identifying visitors
:dango: An interactive and responsive charting library based on G2.
AnyChart Android Chart is an amazing data visualization library for easily creating interactive charts in Android apps. It runs on API 19+ (Android 4.4) and features dozens of built-in chart types.
A python module for scientific analysis of 3D data based on VTK and Numpy
R Package for 2D and 3D mapping and data visualization
Layout algorithms for visualizing directed acyclic graphs
GoNB, a Go Notebook Kernel for Jupyter
Mixed-effects models in R using S4 classes and methods with RcppEigen
AWStats Log Analyzer project (official sources)
A tool to easily create OpenStreetMap SVG maps to plot them with a pen plotter.
General Transit Feed Specification (GTFS) Editing and Analysing Tools
Charts library for Android compatible with API 8+, several chart types with scaling, scrolling and animations 📊
Visualize call graph of a Go program using Graphviz
A collection of infrastructure and tools for research in neural network interpretability.
Visual analysis and diagnostic tools to facilitate machine learning model selection.
:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.
Modern, privacy-friendly, and detailed web analytics that works without cookies or JS.
Go package to make lightweight ASCII line graph ╭┈╯ in command line apps with no other dependencies.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
A general-purpose tool for dynamic report generation in R
3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
An R package for causal inference in time series
graphics framework for sveltejs
A Git extension for JupyterLab
A Jupyter - Leaflet.js bridge
Owl - OCaml Scientific Computing @ https://ocaml.xyz
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
📊 Data visualization library for React. Maintained by @goodcodeus.
Run ruff, isort, pyupgrade, mypy, pylint, flake8, and more on Jupyter Notebooks
Python DataFrames as Interactive DataTables
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
📱📈An elegant, interactive and flexible charting library for mobile.
🦄 Sourcerer app makes a visual profile from your GitHub and git repositories.
Machine learning, computer vision, statistics and general scientific computing for .NET
Simple, powerful, first-party analytics for Rails
Highly customizable stock charts with ReactJS and d3
RISE: "Live" Reveal.js Jupyter/IPython Slideshow Extension
Finished, accessible charts that any page, and any agent, can add with one script tag or one validated JSON config.
A Laravel package to retrieve pageviews and other data from Google Analytics
Visualize and compare datasets, target values and associations, with one line of code.
Android Graph Library for creating zoomable and scrollable line and bar graphs.
Enhancing {ggplot2} plots with statistical analysis 📊📣
moDel Agnostic Language for Exploration and eXplanation
:lock_with_ink_pen: Opinionated, typographic-centric ggplot2 themes and theme components
Visualize large time series data with plotly.py
Interactive graphing library for .NET programming languages :chart_with_upwards_trend:
R package for web-based interactive topic model visualization.
Electronic Health Record Analysis with Python.
A filesystem-like contents manager for multiple backends in Jupyter
◢ High-perfomance, self-hosted and privacy-focused web analytics service. Written in Go.
Source-available semantic and context layer, rule engine, and semantic sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context across 8 SQL dialects.
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
Multi-Dimensional charting built to work natively with crossfilter rendered with d3.js
JavaScript toolkit for creating interactive real-time graphs
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.
Missing data visualization module for Python.
Fast, flexible and easy to use probabilistic modelling in Python.
A cross-platform plotting library for .NET
Interactive visualizations of time series using JavaScript and the HTML canvas tag
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
App to easily query, script, and visualize data from every database, file, and API.
An interactive graphing library for R
An intuitive library to add plotting functionality to scikit-learn objects.
Common financial technical indicators implemented in Pandas.
Easily generate information-rich, publication-quality tables from R
PySAL: Python Spatial Analysis Library Meta-Package