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React Timeseries Charts

Declarative and modular timeseries charting components for React
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What is React Timeseries Charts?

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.
React Timeseries Charts is a tool in the Charting Libraries category of a tech stack.
React Timeseries Charts is an open source tool with 774 GitHub stars and 263 GitHub forks. Here’s a link to React Timeseries Charts's open source repository on GitHub

Who uses React Timeseries Charts?

6 developers on StackShare have stated that they use React Timeseries Charts.

React Timeseries Charts Integrations

React Timeseries Charts's Features

  • 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

React Timeseries Charts Alternatives & Comparisons

What are some alternatives to React Timeseries Charts?
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.
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
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.
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.
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 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.
See all alternatives

React Timeseries Charts's Followers
25 developers follow React Timeseries Charts to keep up with related blogs and decisions.