1426 Open source projects that are alternatives of or similar to ipychart

Create beautiful Javascript charts with minimal code

Mercury - data visualize and discovery with Javascript, such as apache zeppelin and jupyter

Matplot++: A C++ Graphics Library for Data Visualization 📊🗾

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

React components for Chart.js, the most popular charting library

A complete tutorial in python for Data Analysis and Machine Learning

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Beaker Extensions for Jupyter Notebook

HCLineChartView is a beautiful iOS library for drawing line charts. It is highly customizable and easy to use.

Interactive data visualization library for Swift

📊 [wip] Create beautiful, responsive, animated charts using a simple and intuitive API.

A web frontend for scheduling Jupyter notebook reports

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Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

Simple, responsive, modern Charts with zero dependencies

AnyChart is a lightweight and robust JavaScript charting solution with great API and documentation. The chart types and unique features are numerous, the library works easily with any development stack.

No description or website provided.

A Flutter widget to use Apache ECharts (incubating) in a reactive way.

Highcharts built with proper React components

📈 React chart component library 📉

A curated list of awesome Chart.js resources and libraries

daru-view is for easy and interactive plotting in web application & IRuby notebook. daru-view is a plugin gem to the existing daru gem.

ChartJs Widget For Yii2

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

source{d} Community Edition (CE)

🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.

😎 A curated list of awesome Jupyterlab extension projects. 🌠 Detailed introduction with images.

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Jupyter magic to allow Node.js code to run in a notebook

📈 A Django package for plotting charts using the excellent Chart.JS library.

Quick & smart charting for STDIN

SVG time-series charting library

Continuous- and Discrete-Time Signals and Systems - Theory and Computational Examples

📝 Web-based, reactive Datalog notebooks for data analysis and visualization

📈 Svelte bindings for frappe-charts.

A Flutter data visualization library based on Grammar of Graphics.

Open-source JavaScript charting library behind Plotly and Dash

Financial lightweight charts built with HTML5 canvas

WebGL Heatmap Viewer for Big Data and Bioinformatics

Brings Chart.js charts to Blazor

Lavacharts is a graphing / charting library for PHP 5.4+ that wraps Google's Javascript Chart API.

A drag-and-drop dashboard editor for JupyterLab

Enable Analytics in your Apps

Sample programs showing how to use TeeChart VCL for Delphi and C++ Builder

HTML5 JavaScript Component Suite for Responsive Web Development

The most advanced amCharts charting library for JavaScript and TypeScript apps.

D3 Components for React

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.

📊 Transform Google sheets to pretty charts!

Vue3 wrapper for ChartJS

Data Visualization Charting Library

Open-source web platform for creating charts out of different data sources (databases and APIs) 📈📊

Gauge Chart Library

Dashblocks Vue Material Admin Template

GPX Viewer web app built with Jupyter, ipywidgets, ipyleaflet, bqplot and voila

A jupyter widget for the cornerstone library to make showing flashy images with nice tools easier.

A plugin to select syntax highlighting on Jupyter

Enables the use of Stata together with Python via Jupyter (IPython) notebooks.

Create beautiful JavaScript charts with one line of Ruby