Need advice about which tool to choose?Ask the StackShare community!
Add tool
Chartify vs Frappé Charts: What are the differences?
Developers describe Chartify as "A React.js plugin for building customizable charts". Build charts with CSS in React. On the other hand, Frappé Charts is detailed as "GitHub-inspired simple and modern charts for the web with zero dependencies". 📊🍩📈 Simple, responsive, modern SVG Charts with zero dependencies.
Chartify and Frappé Charts belong to "Charting Libraries" category of the tech stack.
Chartify and Frappé Charts are both open source tools. Frappé Charts with 12.6K GitHub stars and 524 forks on GitHub appears to be more popular than Chartify with 633 GitHub stars and 22 GitHub forks.
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn MorePros of Chartify
Pros of Frappé Charts
Pros of Chartify
Be the first to leave a pro
Pros of Frappé Charts
- SVG based1
- Small bundlesize1
Sign up to add or upvote prosMake informed product decisions
- No public GitHub repository available -
What is Chartify?
Build charts with CSS in React
What is Frappé Charts?
📊🍩📈 Simple, responsive, modern SVG Charts with zero dependencies
Need advice about which tool to choose?Ask the StackShare community!
What companies use Chartify?
What companies use Frappé Charts?
What companies use Chartify?
No companies found
What companies use Frappé Charts?
See which teams inside your own company are using Chartify or Frappé Charts.
Sign up for StackShare EnterpriseLearn MoreSign up to get full access to all the companiesMake informed product decisions
What tools integrate with Chartify?
What tools integrate with Frappé Charts?
What tools integrate with Chartify?
What tools integrate with Frappé Charts?
No integrations found
What are some alternatives to Chartify and Frappé Charts?
Matplotlib
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.
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.
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.
Chart.js
Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.
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.