go-chart vs Chartify | What are the differences? | StackShare

Chartify vs go-chart

Overview

go-chart

Stacks1

Followers14

Votes1

GitHub Stars4.0K

Forks336

Chartify

Stacks17

Followers25

Votes0

GitHub Stars3.6K

Forks335

Chartify vs go-chart: What are the differences?

Chartify : Easier chart creation in Python for data scientists, by Spotify. Consistent input data format: Spend less time transforming data to get your charts to work. All plotting functions use a consistent tidy input data format. Smart default styles: Create pretty charts with very little customization required. Flexibility: Chartify is built on top of Bokeh, so if you do need more control you can always fall back on Bokeh's API; go-chart: Basic (1 or 2 axis) time-series graphs in Golang. go chart is a basic charting library in native golang.

Chartify and go-chart can be primarily classified as "Charting Libraries" tools.

go-chart is an open source tool with 2.28K GitHub stars and 145 GitHub forks. Here's a link to go-chart's open source repository on GitHub.

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Detailed Comparison

go-chart	Chartify
go chart is a basic charting library in native golang.	Consistent input data format: Spend less time transforming data to get your charts to work. All plotting functions use a consistent tidy input data format. Smart default styles: Create pretty charts with very little customization required. Flexibility: Chartify is built on top of Bokeh, so if you do need more control you can always fall back on Bokeh's API.
Statistics
GitHub Stars 4.0K	GitHub Stars 3.6K
GitHub Forks 336	GitHub Forks 335
Stacks 1	Stacks 17
Followers 14	Followers 25
Votes 1	Votes 0
Pros & Cons
Pros 1 Free to use	No community feedback yet
Integrations
Golang	Python

What are some alternatives to go-chart, Chartify ?

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.