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Chart.js vs Tableau: What are the differences?

Key Differences between Chart.js and Tableau

Chart.js and Tableau are popular tools used for data visualization, each offering unique capabilities and features. Here are the key differences between these two tools:

  1. Scalability and Complexity: Tableau is known for its scalability, enabling users to handle large datasets and create complex visualizations without performance issues. On the other hand, Chart.js is more suitable for smaller datasets and simpler visualizations, making it a better choice for basic charting needs.

  2. Data Sources and Connections: Tableau offers extensive data source connectivity options, allowing users to connect to various databases, spreadsheets, and online sources. It also supports live connections for real-time data analysis. Chart.js, however, relies on manual data input or the use of JavaScript to fetch data, making it less flexible in terms of data sources.

  3. Ease of Use: Chart.js is relatively simple to use, with a lightweight and intuitive interface. It is easy for developers to integrate and customize into web applications. In contrast, Tableau is a comprehensive tool with a steeper learning curve, requiring some level of technical expertise to fully utilize its capabilities.

  4. Interactivity and Dashboarding: Tableau excels in interactive dashboards and enables users to create dynamic visualizations. It offers features like filters, drill-downs, and parameter controls, allowing users to explore and analyze data interactively. Chart.js, on the other hand, lacks built-in interactivity features, although it can be integrated with JavaScript libraries to achieve similar results.

  5. Accessibility and Collaboration: Tableau provides a collaborative environment for users to share visualizations, collaborate on projects, and publish dashboards to a wider audience. It also offers robust accessibility features such as screen reader support. Chart.js, being a client-side library, does not include these collaboration and accessibility options out-of-the-box.

  6. Cost and Pricing Model: Tableau is a commercial product with different pricing tiers based on the features and capabilities required. It offers both individual and enterprise-level licensing options. Chart.js, on the other hand, is an open-source library that is free to use and distribute, making it a cost-effective choice for small-scale projects.

In summary, Tableau provides a comprehensive and scalable solution for data visualization, with advanced features for interactivity and collaboration. Chart.js, on the other hand, is a lightweight and beginner-friendly option suitable for simpler visualizations and quick implementation. The choice between the two depends on the specific requirements and complexity of the project, as well as the level of expertise and budget available.

Advice on Chart.js and Tableau
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HighchartsHighchartsChart.jsChart.js
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RechartsRecharts

I have used highcharts and it is pretty awesome for my previous project. now as I am about to start my new project I want to use other charting libraries such as recharts, chart js, Nivo, d3 js.... my upcoming project might use react js as front end and laravel as a backend technology. the project would be of hotel management type. please suggest me the best charts to use

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Replies (1)
Darren Adams
Senior Developer at Burning Glass Technologies · | 2 upvotes · 169.3K views
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HighchartsHighcharts

I've used Highcharts with both Angular Js Reactive applications (render as ReactJs) and also a bit of D3. Personally I found Highcharts to be the easiest to use but, with still quite a good level of customisability if you need it. graphs and charts then give D3 a try.

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Decisions about Chart.js and Tableau

Very easy-to-use UI. Good way to make data available inside the company for analysis.

Has some built-in visualizations and can be easily integrated with other JS visualization libraries such as D3.

Can be embedded into product to provide reporting functions.

Support team are helpful.

The only complain I have is lack of API support. Hard to track changes as codes and automate report deployment.

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Vojtech Kopal
Head of Data at Mews Systems · | 3 upvotes · 329K views

Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.

And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.

Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.

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Pros of Chart.js
Pros of Tableau
  • 19
    Offers all types of charts
  • 14
    Interactive Charts
  • 10
    It's totally free
  • 6
    Capable of visualising billions of rows
  • 1
    Intuitive and easy to learn
  • 1
    Responsive

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Cons of Chart.js
Cons of Tableau
  • 12
    Slow rendering
  • 2
    Bitmap quality export
  • 1
    Low quality zoom plugin
  • 0
    It's totally free
  • 3
    Very expensive for small companies

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What is Chart.js?

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

What is Tableau?

Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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What companies use Chart.js?
What companies use Tableau?
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What tools integrate with Chart.js?
What tools integrate with Tableau?

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What are some alternatives to Chart.js and Tableau?
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.
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.
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.
ApexCharts
A modern JavaScript charting library to build interactive charts and visualizations with simple API.
Google Charts
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.
See all alternatives