Overview

Plotly.js

Stacks399

Followers694

Votes69

GitHub Stars17.9K

Forks1.9K

AnyChart

Stacks22

Followers96

Votes18

AnyChart vs Plotly: What are the differences?

Customization: AnyChart offers a wide range of customization options through its extensive API, allowing users to highly customize their charts to fit their specific needs. Plotly also offers customization capabilities, but it may not be as extensive as AnyChart.
Interactivity: AnyChart focuses on providing interactive features such as drill-down, tool-tips, and zooming, making the user experience more engaging. Plotly also provides interactive capabilities, but the level of interactivity may differ compared to AnyChart.
Integration: AnyChart can easily integrate with other JavaScript libraries and frameworks such as Angular, React, and Vue. Plotly also offers integration with various platforms, but the process and compatibility may vary.
Chart Types: AnyChart offers a wide variety of chart types out of the box including funnel, pyramid, stock, and Gantt charts. Plotly also provides a range of chart types, but the specific types available may differ from AnyChart.
Community Support: AnyChart has an active community that provides support, tutorials, and resources for users. While Plotly also has a community, the level of support and resources available may differ from AnyChart.
Performance: AnyChart is known for its fast rendering and performance, making it suitable for handling large datasets efficiently. Plotly also focuses on performance, but the rendering speed and efficiency may vary compared to AnyChart.

In Summary, AnyChart and Plotly differ in terms of customization, interactivity, integration, chart types, community support, and performance.

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Advice on Plotly.js, AnyChart

Steve

Lead Software Tools Engineer at Leonardo UK

Oct 30, 2020

Review

I would specifically recommend basing your application on Pandas which will handle the vast majority of the work for you. You will be amazed at what you will be able to get done with only a few lines of code.

Pandas can load the data from either Excel xslx files or csv files (and a lot of other places)

If you structure your code well you can have a cross platform command line program, a GUI desktop program, a Jupyter Notebook and a web service all with the vast majority of the code in common.

A jupyter notebook is a great place to start developing your code and may be all that you need.

Some plug-ins & resources that can help:

pandas-summary (for a rapid overview of the data): https://github.com/mouradmourafiq/pandas-summary
pandasgui (for exploring what you would like to do): https://github.com/adamerose/pandasgui
Pandas-Bokeh (plotting): https://github.com/PatrikHlobil/Pandas-Bokeh
plot.ly (plotting): https://plotly.com/python/pandas-backend/
wxPython (for a desktop GUI): https://wxpython.org/

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Comments

Detailed Comparison

Plotly.js	AnyChart
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.	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.
Feature parity with MATLAB/matplotlib graphing; Online chart editor; Fully interactive (hover, zoom, pan); SVG and WebGL backends; Publication-quality image export	Cross-platform, cross-browser (IE6+);Compatible with virtually all scripting languages (ASP, PHP, ColdFusion, Perl, etc.);Huge, constantly growing number of supported types of charts, maps, stock/financial graphs, Gantt charts;No installation;Driven by the state-of-the-art JavaScript API;No dependencies;Highly customizable;Easy to use;Events support;Multiple demos;Extensive docs and API reference;multiple interactive features (tooltips, (multi-)selection, hover, (multi-level) drill-downs, excluding data points, etc.);Powerful export engine;Full accessibility (Section 508);Fast, attentive customer support;Resonable pricing ($79+), flexible OEM/SaaS/PaaS licensing, free for non-commercial use
Statistics
GitHub Stars 17.9K	GitHub Stars -
GitHub Forks 1.9K	GitHub Forks -
Stacks 399	Stacks 22
Followers 694	Followers 96
Votes 69	Votes 18
Pros & Cons
Pros 16 Bindings to popular languages like Python, Node, R, etc 10 Integrated zoom and filter-out tools in charts and maps 9 Great support for complex and multiple axes 8 Powerful out-of-the-box featureset 6 Beautiful visualizations Cons 18 Terrible document	Pros 10 Easy to use and super fast 8 A lot of chart types
Integrations
Python React MATLAB Jupyter Julia	Symfony Revel Slim Apache Maven Clojure Hibernate Akka Perl Pug ExpressJS

What are some alternatives to Plotly.js, AnyChart?

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.

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.

ApexCharts

A modern JavaScript charting library to build interactive charts and visualizations with simple API.

Bokeh

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets.