Overview

Google Charts

Stacks122

Followers214

Votes0

Charted

Stacks4

Followers17

Votes0

Charted vs Google Charts: What are the differences?

Introduction: In the realm of data visualization, tools like Charted and Google Charts provide powerful solutions for creating stunning charts and graphs. Understanding the key differences between these two platforms can help users make informed decisions about which one best suits their needs.

Data Sources: Charted primarily relies on CSV files as the data source, making it a suitable choice for users with structured data stored in CSV format. On the other hand, Google Charts offers more flexibility by supporting a wide range of data sources, including Google Sheets, JSON, and SQL databases, making it more versatile in terms of data integration.
Customization Options: Google Charts provides a robust set of customization options, allowing users to fine-tune every aspect of their charts, from colors and fonts to animation and interactivity. In comparison, Charted offers a simpler set of customization features, making it quick and easy to create basic charts without delving into complex design settings.
Hosting Requirements: Charted requires users to host their own instance of the tool, which may be a barrier for those without the technical expertise or resources to set up and maintain a server. Google Charts, on the other hand, is a cloud-based solution, eliminating the need for self-hosting and offering seamless integration with other Google services.
Chart Types: While both Charted and Google Charts support a variety of chart types, Google Charts boasts a wider selection, including specialized options like maps, organizational charts, and gauges. This diversity in chart types gives users more flexibility in choosing the most suitable visualization for their data.
Community Support: Google Charts benefits from a large and active community of users and developers, providing a wealth of resources, tutorials, and forums for troubleshooting and learning. This community-driven support system can be invaluable for users seeking assistance or inspiration when working with Google Charts.

In Summary, understanding the key differences between Charted and Google Charts in terms of data sources, customization options, hosting requirements, chart types, and community support can help users decide which platform best aligns with their data visualization needs.

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Detailed Comparison

Google Charts	Charted
It is an interactive Web service that creates graphical charts from user-supplied information. The user supplies data and a formatting specification expressed in JavaScript embedded in a Web page; in response the service sends an image of the chart.	Charted is a tool for automatically visualizing data, created by the Product Science team at Medium. Provide the link to a data file and Charted returns a beautiful, interactive, and shareable chart of the data.
charts; visualization; pie-chart; bar-chart; svg; animation;	Rendering well on all screen sizes, including monitors;Re-fetching the data and updating the chart every 30 minutes;Moving data series into separate charts;Adjusting the chart type, labels/titles, and background
Statistics
Stacks 122	Stacks 4
Followers 214	Followers 17
Votes 0	Votes 0

What are some alternatives to Google Charts, Charted?

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.