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  1. Stackups
  2. Business Tools
  3. UI Components
  4. Charting Libraries
  5. Chartify vs Lightweight Charts

Chartify vs Lightweight Charts

OverviewComparisonAlternatives

Overview

Chartify
Chartify
Stacks17
Followers25
Votes0
GitHub Stars3.6K
Forks335
Lightweight Charts
Lightweight Charts
Stacks5
Followers26
Votes0
GitHub Stars12.8K
Forks2.0K

Chartify vs Lightweight Charts: 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; Lightweight Charts: Financial charts built with HTML5 canvas. The library displays financial data as an interactive chart on your web page without affecting your web page loading speed and performance.

Chartify and Lightweight Charts can be categorized as "Charting Libraries" tools.

Lightweight Charts is an open source tool with 607 GitHub stars and 53 GitHub forks. Here's a link to Lightweight Charts's open source repository on GitHub.

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Detailed Comparison

Chartify
Chartify
Lightweight Charts
Lightweight Charts

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.

The library displays financial data as an interactive chart on your web page without affecting your web page loading speed and performance.

-
Open source; Responsive across devices; Touch-optimized; Zoom through scales; Mouse-wheel zoom; Chart scroll; Candlesticks & Bars; Baseline; Several price series overlay; Custom S/M/H/D/W/Mo/Y; Custom chart colors
Statistics
GitHub Stars
3.6K
GitHub Stars
12.8K
GitHub Forks
335
GitHub Forks
2.0K
Stacks
17
Stacks
5
Followers
25
Followers
26
Votes
0
Votes
0
Pros & Cons
No community feedback yet
Pros
  • 0
    Open Source
Integrations
Python
Python
TypeScript
TypeScript
Node.js
Node.js
ES6
ES6
HTML5
HTML5

What are some alternatives to Chartify , Lightweight Charts?

D3.js

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

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

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

Chart.js

Visualize your data in 6 different ways. Each of them animated, with a load of customisation options and interactivity extensions.

Recharts

Recharts

Quickly build your charts with decoupled, reusable React components. Built on top of SVG elements with a lightweight dependency on D3 submodules.

ECharts

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

ZingChart

The most feature-rich, fully customizable JavaScript charting library available used by start-ups and the Fortune 100 alike.

amCharts

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

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

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.

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