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Vis.js VS Plotly

Compare Vis.js VS Plotly and see what are their differences

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Vis.js logo Vis.js

A dynamic, browser based visualization library.

Plotly logo Plotly

Low-Code Data Apps
  • Vis.js Landing page
    Landing page //
    2021-12-22
  • Plotly Landing page
    Landing page //
    2023-07-31

Vis.js

Categories
  • Diagrams
  • Flowcharts
  • Wireframing
  • Javascript UI Libraries
Website visjs.org
Pricing URL-
Edit details

Plotly

Categories
  • Application And Data
  • Developer Tools
  • App Development
  • App Deployment
  • Data Visualization
  • Low Code
Website plotly.com
Pricing URL Official Plotly Pricing
Edit details

Vis.js videos

+ Add

Twitter data visualisation into the browser with vis.js

Plotly videos

+ Add

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Category Popularity

0-100% (relative to Vis.js and Plotly)

Vis.js

Plotly

Charting Libraries
16 16%
Charting Libraries
84% 84
Data Visualization
11 11%
Data Visualization
89% 89
Data Dashboard
0 0%
Data Dashboard
100% 100
Javascript UI Libraries
100 100%
Javascript UI Libraries
0% 0

User comments

Share your experience with using Vis.js and Plotly. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Vis.js and Plotly

Vis.js Reviews

20+ JavaScript libraries to draw your own diagrams (2022 edition)
Vis.js is a dynamic, browser-based visualization library. The library is designed to be easy to use, handle large amounts of dynamic data, and enable manipulation of the data. This project is also abandoned.
Source: modeling-languages.com

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Source: www.technotification.com
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly should be more popular than Vis.js. It has been mentiond 29 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Vis.js mentions (11)

  • How to make beautiful flowchart with Angular ?
    ❔vis.js - Seems fits my need but prefer something else. Source: 9 months ago
  • How to Build a Graph Visualization Engine and Why You Shouldn’t
    One of the key created HTML elements is the element. Renderer class creates CanvasRenderingContext2D which is used for drawing shapes, text, images, and other objects. As we used vis.js before creating Orb, credit for some of the drawing logic in Orb (shapes, arrows, curved lines) goes to the developers who created it. They did a great job, and we didn’t want to reinvent the wheel. Canvas API with... - Source: dev.to / about 1 year ago
  • Graph of keywords identified in international news articles
    The graph was created with this JavaScript library: https://visjs.org/. Source: about 1 year ago
  • A graph of keywords that visualizes what happened last week worldwide
    Data source: https://rapidapi.com/mrdimosthenis/api/papercliff/ Visualization library: https://visjs.org/. Source: over 1 year ago
  • Visualize your commits in realtime with Ably and GitHub webhooks
    In order to display the GitHub data in a graph, I used VisJS, a library specially designed to handle large amounts of dynamic data. The graph is rendered in the browser in an HTML canvas, making it possible to show complex animations efficiently. The VisJS network component was exactly what I needed to display a complex diagram of “nodes” and their connecting lines, called “edges”. Nodes and edges are represented... - Source: dev.to / over 1 year ago
View more

Plotly mentions (29)

  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 4 months ago
  • Junior Developer asked to make Saaas in first month.
    If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: 11 months ago
  • PSA: You don't need fancy stuff to do good work.
    Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 11 months ago
  • Wait, but I thought they were the same thing?
    I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
  • Storing your data in a Plotly Dash data dashboard
    Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago
View more

What are some alternatives?

When comparing Vis.js and Plotly, you can also consider the following products

UMLGraph - UMLGraph is a professional automated drawing tool that allows the designers the declarative specification and drawing of UML class and sequence diagram.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Dia - Dia is a GTK+ based diagram creation program for GNU/Linux, MacOS X, Unix, and Windows, and is released under the GPL license.

Chart.js - Easy, object oriented client side graphs for designers and developers.

yEd - yEd is a free desktop application to quickly create, import, edit, and automatically arrange diagrams. It runs on Windows, Mac OS X, and Unix/Linux.

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

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