Matplotlib vs React Timeseries Charts
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. It can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application servers, and four graphical user interface toolkits. | This library contains a set of modular charting components used for building flexible interactive charts. It was built for React from the ground up, specifically to visualize timeseries data and network traffic data in particular. |
| - | Declarative layout of charts using JSX;
Composition into multiple axis and multiple rows and overlays;
Interactivity, including pan and zoom, selection and highlighting;
Easily add your own chart types or overlays;
Line, area, scatter, bar, boxplot and event charts;
Brushing for interactive chart region selection;
Chart pan and zoom constraints;
Legends;
Baselines;
Markers |
Statistics | |
GitHub Stars - | GitHub Stars 875 |
GitHub Forks - | GitHub Forks 281 |
Stacks 1.6K | Stacks 6 |
Followers 336 | Followers 26 |
Votes 11 | Votes 0 |
Pros & Cons | |
Pros
Cons
| No community feedback yet |
Integrations | |
| No integrations available | |
What are some alternatives to Matplotlib, React Timeseries Charts?
D3.js
It is a JavaScript library for manipulating documents based on data. Emphasises on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework.
Highcharts
Highcharts currently supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types.
Plotly.js
It is a standalone Javascript data visualization library, and it also powers the Python and R modules named plotly in those respective ecosystems (referred to as Plotly.py and Plotly.R). It can be used to produce dozens of chart types and visualizations, including statistical charts, 3D graphs, scientific charts, SVG and tile maps, financial charts and more.
Chart.js
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
Recharts
Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.
ECharts
It is an open source visualization library implemented in JavaScript, runs smoothly on PCs and mobile devices, and is compatible with most current browsers.
ZingChart
The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.
amCharts
amCharts is an advanced charting library that will suit any data visualization need. Our charting solution include Column, Bar, Line, Area, Step, Step without risers, Smoothed line, Candlestick, OHLC, Pie/Donut, Radar/ Polar, XY/Scatter/Bubble, Bullet, Funnel/Pyramid charts as well as Gauges.
CanvasJS
Lightweight, Beautiful & Responsive Charts that make your dashboards fly even with millions of data points! Self-Hosted, Secure & Scalable charts that render across devices.
AnyChart
AnyChart is a flexible JavaScript (HTML5) based solution that allows you to create interactive and great looking charts. It is a cross-browser and cross-platform charting solution intended for everybody who deals with creation of dashboard, reporting, analytics, statistical, financial or any other data visualization solutions.
