Alternatives to D3.js logo

Alternatives to D3.js

three.js, Plotly.js, Highcharts, Python, and Tableau are the most popular alternatives and competitors to D3.js.
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What is D3.js and what are its top alternatives?

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.
D3.js is a tool in the Charting Libraries category of a tech stack.
D3.js is an open source tool with 102.4K GitHub stars and 23.2K GitHub forks. Here’s a link to D3.js's open source repository on GitHub

Top Alternatives to D3.js

  • three.js
    three.js

    It is a cross-browser JavaScript library and Application Programming Interface used to create and display animated 3D computer graphics in a web browser. ...

  • 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. ...

  • 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. ...

  • Python
    Python

    Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best. ...

  • Tableau
    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. ...

  • Bokeh
    Bokeh

    Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets. ...

  • Dash
    Dash

    Dash is an API Documentation Browser and Code Snippet Manager. Dash stores snippets of code and instantly searches offline documentation sets for 150+ APIs. You can even generate your own docsets or request docsets to be included. ...

  • jQuery
    jQuery

    jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML. ...

D3.js alternatives & related posts

three.js logo

three.js

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A JavaScript 3D library
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PROS OF THREE.JS
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    CONS OF THREE.JS
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      related three.js posts

      Shared insights
      on
      BabylonJSBabylonJSthree.jsthree.jsUnityUnity

      We already have an existing 3d interactive application for windows, mac, and iOS devices and have planned to move that app to the web for high availability to different types of users. I have been searching for different options for it. Our existing application is made in Unity so we prefer to work on unity webgl but it also has its drawbacks. Other than that we are also thinking to change the tech stack to three.js or BabylonJS due to their high compatibility with the web ecosystem. I want to know which engine/library/framework we should use for the development of our 3d web application. Also with unity webgl, we want to develop all UI parts in web technologies only and will use the unity3d for 3d part only.

      Points that are very important to consider - 1. Memory optimization and allocation 2. Quality 3. Shaders 4. Materials 5. Lighting 6. Mesh editing, mesh creation at runtime 7. Ar 8. Vr 10. Support on different browsers including mobile browsers 11. Physics(gravity, collision, cloth simulation, etc.) 12. Initial load time 13. Speed and performance 14. Max vertices count. What happens when we load models exceeding max vertex count? 15. Development time 16. Learning curve (Unity3d we already working on) 17. Ease of use. What artists can do using any platform eg. in unity3d, artists can edit materials, set up lighting etc? 18. Future scope 19. Scalability 20. Integration with web ecosystem

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      Shared insights
      on
      WebGLWebGLthree.jsthree.js

      I want a advice on what to use as a beginner three.js or WebGL?

      See more
      Plotly.js logo

      Plotly.js

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      A high-level, declarative charting library
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      PROS OF PLOTLY.JS
      • 16
        Bindings to popular languages like Python, Node, R, etc
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        Integrated zoom and filter-out tools in charts and maps
      • 9
        Great support for complex and multiple axes
      • 8
        Powerful out-of-the-box featureset
      • 6
        Beautiful visualizations
      • 4
        Active user base
      • 4
        Impressive support for webgl 3D charts
      • 3
        Webgl chart types are extremely performant
      • 3
        Charts are easy to share with a cloud account
      • 2
        Publication quality image export
      • 2
        Easy to use online editor for creating plotly.js charts
      • 2
        Interactive charts
      CONS OF PLOTLY.JS
      • 16
        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
      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
      • 16
        Multiple chart types such as pie, bar, line and others
      • 12
        Responsive charts
      • 8
        Handles everything you throw at it
      • 7
        Extremely easy-to-parse documentation
      • 5
        Easy to customize color scheme and palettes
      • 4
        Built-in export chart as-is to image file
      • 1
        Export on server side, can be used in email
      • 0
        It is nice
      CONS OF HIGHCHARTS
      • 6
        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
      Python logo

      Python

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      A clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
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      PROS OF PYTHON
      • 1.1K
        Great libraries
      • 944
        Readable code
      • 833
        Beautiful code
      • 777
        Rapid development
      • 682
        Large community
      • 426
        Open source
      • 385
        Elegant
      • 278
        Great community
      • 268
        Object oriented
      • 214
        Dynamic typing
      • 75
        Great standard library
      • 56
        Very fast
      • 51
        Functional programming
      • 43
        Scientific computing
      • 42
        Easy to learn
      • 33
        Great documentation
      • 26
        Matlab alternative
      • 25
        Productivity
      • 25
        Easy to read
      • 21
        Simple is better than complex
      • 18
        It's the way I think
      • 17
        Imperative
      • 15
        Very programmer and non-programmer friendly
      • 15
        Free
      • 14
        Powerfull language
      • 14
        Powerful
      • 13
        Machine learning support
      • 13
        Fast and simple
      • 12
        Scripting
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        Explicit is better than implicit
      • 8
        Clear and easy and powerfull
      • 8
        Unlimited power
      • 8
        Ease of development
      • 7
        Import antigravity
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        Print "life is short, use python"
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        It's lean and fun to code
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        Great for tooling
      • 5
        I love snakes
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        Flat is better than nested
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        Although practicality beats purity
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        High Documented language
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        Python has great libraries for data processing
      • 5
        Fast coding and good for competitions
      • 5
        There should be one-- and preferably only one --obvious
      • 4
        Rapid Prototyping
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        Readability counts
      • 3
        Web scraping
      • 3
        Now is better than never
      • 3
        Great for analytics
      • 3
        Plotting
      • 3
        Lists, tuples, dictionaries
      • 3
        Socially engaged community
      • 3
        Complex is better than complicated
      • 3
        Multiple Inheritence
      • 3
        Beautiful is better than ugly
      • 3
        CG industry needs
      • 2
        No cruft
      • 2
        Many types of collections
      • 2
        Easy to learn and use
      • 2
        Special cases aren't special enough to break the rules
      • 2
        If the implementation is hard to explain, it's a bad id
      • 2
        If the implementation is easy to explain, it may be a g
      • 2
        List comprehensions
      • 2
        Generators
      • 2
        Simple and easy to learn
      • 2
        Easy to setup and run smooth
      • 2
        Import this
      • 1
        Powerful language for AI
      • 1
        Because of Netflix
      • 1
        A-to-Z
      • 1
        Only one way to do it
      • 1
        Can understand easily who are new to programming
      • 1
        Flexible and easy
      • 1
        Better outcome
      • 1
        Batteries included
      • 1
        Good for hacking
      • 1
        Should START with this but not STICK with This
      • 1
        Pip install everything
      • 1
        It is Very easy , simple and will you be love programmi
      • 0
        Powerful
      CONS OF PYTHON
      • 51
        Still divided between python 2 and python 3
      • 29
        Performance impact
      • 26
        Poor syntax for anonymous functions
      • 21
        GIL
      • 19
        Package management is a mess
      • 14
        Too imperative-oriented
      • 12
        Dynamic typing
      • 12
        Hard to understand
      • 10
        Very slow
      • 8
        Not everything is expression
      • 7
        Indentations matter a lot
      • 7
        Explicit self parameter in methods
      • 6
        No anonymous functions
      • 6
        Poor DSL capabilities
      • 6
        Incredibly slow
      • 6
        Requires C functions for dynamic modules
      • 5
        The "lisp style" whitespaces
      • 5
        Fake object-oriented programming
      • 5
        Hard to obfuscate
      • 5
        Threading
      • 4
        Circular import
      • 4
        The benevolent-dictator-for-life quit
      • 4
        Official documentation is unclear.
      • 4
        Lack of Syntax Sugar leads to "the pyramid of doom"
      • 4
        Not suitable for autocomplete
      • 2
        Meta classes
      • 1
        Training wheels (forced indentation)

      related Python posts

      Conor Myhrvold
      Tech Brand Mgr, Office of CTO at Uber · | 41 upvotes · 5.2M 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
      Nick Parsons
      Building cool things on the internet 🛠️ at Stream · | 35 upvotes · 1.7M views

      Winds 2.0 is an open source Podcast/RSS reader developed by Stream with a core goal to enable a wide range of developers to contribute.

      We chose JavaScript because nearly every developer knows or can, at the very least, read JavaScript. With ES6 and Node.js v10.x.x, it’s become a very capable language. Async/Await is powerful and easy to use (Async/Await vs Promises). Babel allows us to experiment with next-generation JavaScript (features that are not in the official JavaScript spec yet). Yarn allows us to consistently install packages quickly (and is filled with tons of new tricks)

      We’re using JavaScript for everything – both front and backend. Most of our team is experienced with Go and Python, so Node was not an obvious choice for this app.

      Sure... there will be haters who refuse to acknowledge that there is anything remotely positive about JavaScript (there are even rants on Hacker News about Node.js); however, without writing completely in JavaScript, we would not have seen the results we did.

      #FrameworksFullStack #Languages

      See more
      Tableau logo

      Tableau

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      Tableau helps people see and understand data.
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      PROS OF TABLEAU
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        Capable of visualising billions of rows
      • 1
        Intuitive and easy to learn
      • 1
        Responsive
      CONS OF TABLEAU
      • 1
        Very expensive for small companies

      related Tableau posts

      Looking for the best analytics software for a medium-large-sized firm. We currently use a Microsoft SQL Server database that is analyzed in Tableau desktop/published to Tableau online for users to access dashboards. Is it worth the cost savings/time to switch over to using SSRS or Power BI? Does anyone have experience migrating from Tableau to SSRS /or Power BI? Our other option is to consider using Tableau on-premises instead of online. Using custom SQL with over 3 million rows really decreases performances and results in processing times that greatly exceed our typical experience. Thanks.

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      Bokeh logo

      Bokeh

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      An interactive visualization library
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      PROS OF BOKEH
      • 11
        Beautiful Interactive charts in seconds
      CONS OF BOKEH
        Be the first to leave a con

        related Bokeh posts

        Shared insights
        on
        MatplotlibMatplotlibBokehBokehDjangoDjango

        Hi - I am looking to develop an app accessed by a browser that will display interactive networks (including adding or deleting nodes, edges, labels (or changing labels) based on user input. Look to use Django at the backend. Also need to manage graph versions if one person makes a graph change while another person is looking at it. Mainly tree networks for starters anyway. I probably will use the Networkx package. Not sure what the pros and cons are using Bokeh vs Matplotlib. I would be grateful for any comments or suggestions. Thanks.

        See more
        Dash logo

        Dash

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        Gives your Mac instant offline access to 150+ API documentation sets
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        PROS OF DASH
        • 17
          Dozens of API docs and Cheat-Sheets
        • 12
          Great for offline use
        • 8
          Works with Alfred
        • 8
          Excellent documentation
        • 8
          Quick API search
        • 5
          Fast
        • 3
          Good integration with Xcode and AppCode
        • 2
          Great for mobile dev work
        CONS OF DASH
          Be the first to leave a con

          related Dash posts

          jQuery logo

          jQuery

          177.6K
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          The Write Less, Do More, JavaScript Library.
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          PROS OF JQUERY
          • 1.3K
            Cross-browser
          • 957
            Dom manipulation
          • 807
            Power
          • 660
            Open source
          • 610
            Plugins
          • 458
            Easy
          • 395
            Popular
          • 350
            Feature-rich
          • 281
            Html5
          • 227
            Light weight
          • 92
            Simple
          • 84
            Great community
          • 79
            CSS3 Compliant
          • 69
            Mobile friendly
          • 67
            Fast
          • 43
            Intuitive
          • 42
            Swiss Army knife for webdev
          • 35
            Huge Community
          • 11
            Easy to learn
          • 4
            Clean code
          • 3
            Because of Ajax request :)
          • 2
            Just awesome
          • 2
            Used everywhere
          • 2
            Powerful
          • 2
            Nice
          • 1
            Widely Used
          • 1
            Improves productivity
          • 1
            Open Source, Simple, Easy Setup
          • 1
            It Just Works
          • 1
            Industry acceptance
          • 1
            Allows great manipulation of HTML and CSS
          • 1
            Javascript
          • 1
            Easy Setup
          CONS OF JQUERY
          • 6
            Large size
          • 5
            Sometimes inconsistent API
          • 5
            Encourages DOM as primary data source
          • 2
            Live events is overly complex feature

          related jQuery posts

          Kir Shatrov
          Engineering Lead at Shopify · | 21 upvotes · 799.3K views

          The client-side stack of Shopify Admin has been a long journey. It started with HTML templates, jQuery and Prototype. We moved to Batman.js, our in-house Single-Page-Application framework (SPA), in 2013. Then, we re-evaluated our approach and moved back to statically rendered HTML and vanilla JavaScript. As the front-end ecosystem matured, we felt that it was time to rethink our approach again. Last year, we started working on moving Shopify Admin to React and TypeScript.

          Many things have changed since the days of jQuery and Batman. JavaScript execution is much faster. We can easily render our apps on the server to do less work on the client, and the resources and tooling for developers are substantially better with React than we ever had with Batman.

          #FrameworksFullStack #Languages

          See more
          Ganesa Vijayakumar
          Full Stack Coder | Technical Lead · | 19 upvotes · 3M views

          I'm planning to create a web application and also a mobile application to provide a very good shopping experience to the end customers. Shortly, my application will be aggregate the product details from difference sources and giving a clear picture to the user that when and where to buy that product with best in Quality and cost.

          I have planned to develop this in many milestones for adding N number of features and I have picked my first part to complete the core part (aggregate the product details from different sources).

          As per my work experience and knowledge, I have chosen the followings stacks to this mission.

          UI: I would like to develop this application using React, React Router and React Native since I'm a little bit familiar on this and also most importantly these will help on developing both web and mobile apps. In addition, I'm gonna use the stacks JavaScript, jQuery, jQuery UI, jQuery Mobile, Bootstrap wherever required.

          Service: I have planned to use Java as the main business layer language as I have 7+ years of experience on this I believe I can do better work using Java than other languages. In addition, I'm thinking to use the stacks Node.js.

          Database and ORM: I'm gonna pick MySQL as DB and Hibernate as ORM since I have a piece of good knowledge and also work experience on this combination.

          Search Engine: I need to deal with a large amount of product data and it's in-detailed info to provide enough details to end user at the same time I need to focus on the performance area too. so I have decided to use Solr as a search engine for product search and suggestions. In addition, I'm thinking to replace Solr by Elasticsearch once explored/reviewed enough about Elasticsearch.

          Host: As of now, my plan to complete the application with decent features first and deploy it in a free hosting environment like Docker and Heroku and then once it is stable then I have planned to use the AWS products Amazon S3, EC2, Amazon RDS and Amazon Route 53. I'm not sure about Microsoft Azure that what is the specialty in it than Heroku and Amazon EC2 Container Service. Anyhow, I will do explore these once again and pick the best suite one for my requirement once I reached this level.

          Build and Repositories: I have decided to choose Apache Maven and Git as these are my favorites and also so popular on respectively build and repositories.

          Additional Utilities :) - I would like to choose Codacy for code review as their Startup plan will be very helpful to this application. I'm already experienced with Google CheckStyle and SonarQube even I'm looking something on Codacy.

          Happy Coding! Suggestions are welcome! :)

          Thanks, Ganesa

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