Alternatives to amCharts logo

Alternatives to amCharts

Highcharts, D3.js, Google Charts, FusionCharts, and Plotly.js are the most popular alternatives and competitors to amCharts.
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What is amCharts and what are its top alternatives?

amCharts is a powerful JavaScript charting library that allows users to create interactive and visually appealing charts and graphs for web applications. Some key features of amCharts include a wide range of chart types, built-in themes for customization, multi-language support, extensive documentation, and compatibility with various platforms. However, a limitation of amCharts is that the free version has limited features and a watermark on the charts.

  1. Highcharts: Highcharts is a popular JavaScript charting library that offers a wide range of chart types, interactive features, and customization options. Pros include extensive documentation, easy integration with various frameworks, and strong community support. Cons compared to amCharts include a higher cost for commercial use and being less feature-rich in the free version.
  2. D3.js: D3.js is a powerful data visualization library that provides great flexibility in creating customizable and complex charts. Pros include its ability to handle large datasets and its strong community support. Cons compared to amCharts include a steeper learning curve and more complex implementation.
  3. Chart.js: Chart.js is a lightweight charting library that offers simple and responsive charts with various customization options. Pros include easy integration, good performance, and a simple API. Cons compared to amCharts include a limited range of chart types and less advanced features.
  4. Google Charts: Google Charts is a free charting library from Google that offers a variety of chart types and styling options. Pros include easy integration with Google services, good performance, and a wide range of chart types. Cons compared to amCharts include limited customization options and less advanced features.
  5. Plotly: Plotly is a JavaScript graphing library that offers interactive charts, real-time data visualization, and support for various programming languages. Pros include its ease of use, extensive documentation, and advanced features like subplots and animations. Cons compared to amCharts include a more limited range of chart types and some advanced features being available only in paid versions.
  6. FusionCharts: FusionCharts is a comprehensive charting library that offers a wide range of interactive charts, maps, and dashboards. Pros include extensive chart customization options, support for real-time data, and good performance. Cons compared to amCharts include a higher cost for commercial licenses and a more complex API.
  7. ApexCharts: ApexCharts is a modern JavaScript charting library that offers a simple API, responsive charts, and support for streaming data. Pros include easy integration with front-end frameworks, good performance, and customization options. Cons compared to amCharts include a more limited range of chart types and a smaller community.
  8. ECharts: ECharts is a powerful charting library from Apache that offers a wide range of chart types, animation support, and interactive features. Pros include good performance, extensive documentation, and support for big data visualization. Cons compared to amCharts include a more complex configuration and customization process.
  9. Toast UI Chart: Toast UI Chart is an open-source charting library that offers various chart types, customization options, and responsive design. Pros include ease of use, good performance, and support for both vertical and horizontal layouts. Cons compared to amCharts include a smaller community and a less extensive range of chart types.
  10. ZingChart: ZingChart is a charting library that offers a wide range of chart types, tool integrations, and interactive features like zooming and panning. Pros include good performance, extensive documentation, and the ability to create complex dashboards. Cons compared to amCharts include a less intuitive API and a higher cost for commercial licenses.

Top Alternatives to amCharts

  • 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. ...

  • 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. ...

  • Google Charts
    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. ...

  • FusionCharts
    FusionCharts

    It is the most comprehensive JavaScript charting library, with over 100+ charts and 2000+ maps. Integrated with all popular JavaScript frameworks and server-side programming languages. Create interactive JavaScript charts for your web and enterprise applications. ...

  • 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. ...

  • 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. ...

  • Victory
    Victory

    A collection of composable React components for building interactive data visualizations. ...

  • JavaScript
    JavaScript

    JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles. ...

amCharts alternatives & related posts

Highcharts logo

Highcharts

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A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web...
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PROS OF HIGHCHARTS
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    Low learning curve and powerful
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    Multiple chart types such as pie, bar, line and others
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    Responsive charts
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    Handles everything you throw at it
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    Extremely easy-to-parse documentation
  • 5
    Built-in export chart as-is to image file
  • 5
    Easy to customize color scheme and palettes
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    Export on server side, can be used in email
CONS OF HIGHCHARTS
  • 9
    Expensive

related Highcharts posts

Here is my stack on #Visualization. @FusionCharts and Highcharts are easy to use but only free for non-commercial. Chart.js and Plotly are two lovely tools for commercial use under the MIT license. And D3.js would be my last choice only if a complex customized plot is needed.

See more
D3.js logo

D3.js

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A JavaScript visualization library for HTML and SVG
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PROS OF D3.JS
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    Beautiful visualizations
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    Svg
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    Data-driven
  • 81
    Large set of examples
  • 61
    Data-driven documents
  • 24
    Visualization components
  • 20
    Transitions
  • 18
    Dynamic properties
  • 16
    Plugins
  • 11
    Transformation
  • 7
    Makes data interactive
  • 4
    Open Source
  • 4
    Enter and Exit
  • 4
    Components
  • 3
    Exhaustive
  • 3
    Backed by the new york times
  • 2
    Easy and beautiful
  • 1
    Highly customizable
  • 1
    Awesome Community Support
  • 1
    Simple elegance
  • 1
    Templates, force template
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    Angular 4
CONS OF D3.JS
  • 11
    Beginners cant understand at all
  • 6
    Complex syntax

related D3.js posts

Tim Abbott
Shared insights
on
Plotly.jsPlotly.jsD3.jsD3.js
at

We use Plotly (just their open source stuff) for Zulip's user-facing and admin-facing statistics graphs because it's a reasonably well-designed JavaScript graphing library.

If you've tried using D3.js, it's a pretty poor developer experience, and that translates to spending a bunch of time getting the graphs one wants even for things that are conceptually pretty basic. Plotly isn't amazing (it's decent), but it's way better than than D3 unless you have very specialized needs.

See more
Amit Garg
Shared insights
on
D3.jsD3.jsApexChartsApexChartsReactReact

Hi,

I am looking at integrating a charting library in my React frontend that allows me to create appealing and interactive charts. I have basic familiarity with ApexCharts with React but have also read about D3.js charts and it seems a much more involved integration. Can someone please share their experience across the two libraries on the following dimensions:

  1. Amount of work needed for integration
  2. Amount of work or ease for creating new charts in either of the libraries.

Regards

Amit

See more
Google Charts logo

Google Charts

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A Web service that creates graphical charts
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PROS OF GOOGLE CHARTS
    Be the first to leave a pro
    CONS OF GOOGLE CHARTS
      Be the first to leave a con

      related Google Charts posts

      FusionCharts logo

      FusionCharts

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      JavaScript Charts for Web & Mobile Dashboards
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      PROS OF FUSIONCHARTS
        Be the first to leave a pro
        CONS OF FUSIONCHARTS
        • 1
          Not free

        related FusionCharts posts

        Plotly.js logo

        Plotly.js

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        A high-level, declarative charting library
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        PROS OF PLOTLY.JS
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          Bindings to popular languages like Python, Node, R, etc
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          Integrated zoom and filter-out tools in charts and maps
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          Great support for complex and multiple axes
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          Powerful out-of-the-box featureset
        • 6
          Beautiful visualizations
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          Active user base
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          Impressive support for webgl 3D charts
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          Charts are easy to share with a cloud account
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          Webgl chart types are extremely performant
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          Interactive charts
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          Easy to use online editor for creating plotly.js charts
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          Publication quality image export
        CONS OF PLOTLY.JS
        • 18
          Terrible document

        related Plotly.js posts

        Tim Abbott
        Shared insights
        on
        Plotly.jsPlotly.jsD3.jsD3.js
        at

        We use Plotly (just their open source stuff) for Zulip's user-facing and admin-facing statistics graphs because it's a reasonably well-designed JavaScript graphing library.

        If you've tried using D3.js, it's a pretty poor developer experience, and that translates to spending a bunch of time getting the graphs one wants even for things that are conceptually pretty basic. Plotly isn't amazing (it's decent), but it's way better than than D3 unless you have very specialized needs.

        See more

        Here is my stack on #Visualization. @FusionCharts and Highcharts are easy to use but only free for non-commercial. Chart.js and Plotly are two lovely tools for commercial use under the MIT license. And D3.js would be my last choice only if a complex customized plot is needed.

        See more
        ECharts logo

        ECharts

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        A free, powerful charting and visualization library
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        PROS OF ECHARTS
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          East to implement
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          Smaller learning curve
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          Free to use
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          Vue Compatible
        • 3
          Very customizable
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          Angular compatible
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          React compatible
        CONS OF ECHARTS
        • 2
          Support is in chinese

        related ECharts posts

        Victory logo

        Victory

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        ReactJS library for building interactive data visualizations
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        PROS OF VICTORY
          Be the first to leave a pro
          CONS OF VICTORY
            Be the first to leave a con

            related Victory posts

            Server side

            We decided to use Python for our backend because it is one of the industry standard languages for data analysis and machine learning. It also has a lot of support due to its large user base.

            • Web Server: We chose Flask because we want to keep our machine learning / data analysis and the web server in the same language. Flask is easy to use and we all have experience with it. Postman will be used for creating and testing APIs due to its convenience.

            • Machine Learning: We decided to go with PyTorch for machine learning since it is one of the most popular libraries. It is also known to have an easier learning curve than other popular libraries such as Tensorflow. This is important because our team lacks ML experience and learning the tool as fast as possible would increase productivity.

            • Data Analysis: Some common Python libraries will be used to analyze our data. These include NumPy, Pandas , and matplotlib. These tools combined will help us learn the properties and characteristics of our data. Jupyter notebook will be used to help organize the data analysis process, and improve the code readability.

            Client side

            • UI: We decided to use React for the UI because it helps organize the data and variables of the application into components, making it very convenient to maintain our dashboard. Since React is one of the most popular front end frameworks right now, there will be a lot of support for it as well as a lot of potential new hires that are familiar with the framework. CSS 3 and HTML5 will be used for the basic styling and structure of the web app, as they are the most widely used front end languages.

            • State Management: We decided to use Redux to manage the state of the application since it works naturally to React. Our team also already has experience working with Redux which gave it a slight edge over the other state management libraries.

            • Data Visualization: We decided to use the React-based library Victory to visualize the data. They have very user friendly documentation on their official website which we find easy to learn from.

            Cache

            • Caching: We decided between Redis and memcached because they are two of the most popular open-source cache engines. We ultimately decided to use Redis to improve our web app performance mainly due to the extra functionalities it provides such as fine-tuning cache contents and durability.

            Database

            • Database: We decided to use a NoSQL database over a relational database because of its flexibility from not having a predefined schema. The user behavior analytics has to be flexible since the data we plan to store may change frequently. We decided on MongoDB because it is lightweight and we can easily host the database with MongoDB Atlas . Everyone on our team also has experience working with MongoDB.

            Infrastructure

            • Deployment: We decided to use Heroku over AWS, Azure, Google Cloud because it is free. Although there are advantages to the other cloud services, Heroku makes the most sense to our team because our primary goal is to build an MVP.

            Other Tools

            • Communication Slack will be used as the primary source of communication. It provides all the features needed for basic discussions. In terms of more interactive meetings, Zoom will be used for its video calls and screen sharing capabilities.

            • Source Control The project will be stored on GitHub and all code changes will be done though pull requests. This will help us keep the codebase clean and make it easy to revert changes when we need to.

            See more
            Patrick Sun
            Software Engineer at Stitch Fix · | 10 upvotes · 52.8K views

            As a frontend engineer on the Algorithms & Analytics team at Stitch Fix, I work with data scientists to develop applications and visualizations to help our internal business partners make data-driven decisions. I envisioned a platform that would assist data scientists in the data exploration process, allowing them to visually explore and rapidly iterate through their assumptions, then share their insights with others. This would align with our team's philosophy of having engineers "deploy platforms, services, abstractions, and frameworks that allow the data scientists to conceive of, develop, and deploy their ideas with autonomy", and solve the pain of data exploration.

            The final product, code-named Dora, is built with React, Redux.js and Victory, backed by Elasticsearch to enable fast and iterative data exploration, and uses Apache Spark to move data from our Amazon S3 data warehouse into the Elasticsearch cluster.

            See more
            JavaScript logo

            JavaScript

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            PROS OF JAVASCRIPT
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              Lots of great frameworks
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              Fast
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              Light weight
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              Flexible
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              You can't get a device today that doesn't run js
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              Non-blocking i/o
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              Ubiquitousness
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              Expressive
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              Extended functionality to web pages
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              Relatively easy language
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              Executed on the client side
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              Relatively fast to the end user
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              Pure Javascript
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              Functional programming
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              Async
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              Full-stack
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              Setup is easy
            • 12
              Future Language of The Web
            • 12
              Its everywhere
            • 11
              Because I love functions
            • 11
              JavaScript is the New PHP
            • 10
              Like it or not, JS is part of the web standard
            • 9
              Expansive community
            • 9
              Everyone use it
            • 9
              Can be used in backend, frontend and DB
            • 9
              Easy
            • 8
              Most Popular Language in the World
            • 8
              Powerful
            • 8
              Can be used both as frontend and backend as well
            • 8
              For the good parts
            • 8
              No need to use PHP
            • 8
              Easy to hire developers
            • 7
              Agile, packages simple to use
            • 7
              Love-hate relationship
            • 7
              Photoshop has 3 JS runtimes built in
            • 7
              Evolution of C
            • 7
              It's fun
            • 7
              Hard not to use
            • 7
              Versitile
            • 7
              Its fun and fast
            • 7
              Nice
            • 7
              Popularized Class-Less Architecture & Lambdas
            • 7
              Supports lambdas and closures
            • 6
              It let's me use Babel & Typescript
            • 6
              Can be used on frontend/backend/Mobile/create PRO Ui
            • 6
              1.6K Can be used on frontend/backend
            • 6
              Client side JS uses the visitors CPU to save Server Res
            • 6
              Easy to make something
            • 5
              Clojurescript
            • 5
              Promise relationship
            • 5
              Stockholm Syndrome
            • 5
              Function expressions are useful for callbacks
            • 5
              Scope manipulation
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              Everywhere
            • 5
              Client processing
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              What to add
            • 4
              Because it is so simple and lightweight
            • 4
              Only Programming language on browser
            • 1
              Test
            • 1
              Hard to learn
            • 1
              Test2
            • 1
              Not the best
            • 1
              Easy to understand
            • 1
              Subskill #4
            • 1
              Easy to learn
            • 0
              Hard 彤
            CONS OF JAVASCRIPT
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              A constant moving target, too much churn
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              Horribly inconsistent
            • 15
              Javascript is the New PHP
            • 9
              No ability to monitor memory utilitization
            • 8
              Shows Zero output in case of ANY error
            • 7
              Thinks strange results are better than errors
            • 6
              Can be ugly
            • 3
              No GitHub
            • 2
              Slow
            • 0
              HORRIBLE DOCUMENTS, faulty code, repo has bugs

            related JavaScript posts

            Zach Holman

            Oof. I have truly hated JavaScript for a long time. Like, for over twenty years now. Like, since the Clinton administration. It's always been a nightmare to deal with all of the aspects of that silly language.

            But wowza, things have changed. Tooling is just way, way better. I'm primarily web-oriented, and using React and Apollo together the past few years really opened my eyes to building rich apps. And I deeply apologize for using the phrase rich apps; I don't think I've ever said such Enterprisey words before.

            But yeah, things are different now. I still love Rails, and still use it for a lot of apps I build. But it's that silly rich apps phrase that's the problem. Users have way more comprehensive expectations than they did even five years ago, and the JS community does a good job at building tools and tech that tackle the problems of making heavy, complicated UI and frontend work.

            Obviously there's a lot of things happening here, so just saying "JavaScript isn't terrible" might encompass a huge amount of libraries and frameworks. But if you're like me, yeah, give things another shot- I'm somehow not hating on JavaScript anymore and... gulp... I kinda love it.

            See more
            Conor Myhrvold
            Tech Brand Mgr, Office of CTO at Uber · | 44 upvotes · 12.5M views

            How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

            Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

            Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

            https://eng.uber.com/distributed-tracing/

            (GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

            Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

            See more