JFreeChart vs Koto
Overview
Share your Stack
Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.
CLI (Node.js)
Manual
Detailed Comparison
KotoJS is HEAVILY inspired by another reusable charting framework maintained by the Miso Project called d3.chart. I think that project is well designed and well documented. For those who are not familiar with d3.chart, the framework provides a logical way to ensure that all data-visualization components that are authored using the framework are done in a way that facilitates re-usablily. | It is a free Java chart library that makes it easy for developers to display professional quality charts in their applications. It has a consistent and well-documented API, supporting a wide range of chart types. |
| - | Flexible design that is easy to extend, and targets both server-side and client-side applications;
Support for many output types, including Swing and JavaFX components, image files (including PNG and JPEG), and vector graphics file formats (including PDF, EPS and SVG);
open source or, more specifically, free software |
Statistics | |
GitHub Stars 277 | GitHub Stars 1.3K |
GitHub Forks 13 | GitHub Forks 569 |
Stacks 1 | Stacks 47 |
Followers 13 | Followers 23 |
Votes 0 | Votes 2 |
Pros & Cons | |
No community feedback yet | Pros
Cons
|
Integrations | |
What are some alternatives to Koto, JFreeChart?
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.
