Software Alternatives & Reviews

Raphael VS Plotly

Compare Raphael VS Plotly and see what are their differences

Raphael logo Raphael

Raphael.js is an Object Oriented drawing library. It is good at making in-depth diagrams with complex interactions.

Plotly logo Plotly

Low-Code Data Apps
  • Raphael Landing page
    Landing page //
    2023-03-22
  • Plotly Landing page
    Landing page //
    2023-07-31

Raphael videos

NECA Teenage Mutant Ninja Turtles 1990 Movie Raphael (Gamestop Exclusive) | Video Review

More videos:

  • Review - Raphael & Robin Batman vs TMNT DC Collectibles Figure Review
  • Review - Nickelodeon Teenage Mutant Ninja Turtles Raphael Figure Review

Plotly videos

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 Raphael and Plotly)
Javascript UI Libraries
100 100%
0% 0
Data Visualization
5 5%
95% 95
Charting Libraries
15 15%
85% 85
Data Dashboard
0 0%
100% 100

User comments

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Reviews

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

Raphael Reviews

20+ JavaScript libraries to draw your own diagrams (2022 edition)
Raphaël is a small JavaScript library that should simplify your work with vector graphics on the web. If you want to create your own specific chart or image crop and rotate widget, for example, you can achieve it simply and easily with this library. Raphaël uses the SVG W3C Recommendation and VML as a base for creating graphics. This means every graphical object you create...

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.
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...
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.

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Raphael. While we know about 29 links to Plotly, we've tracked only 2 mentions of Raphael. 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.

Raphael mentions (2)

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: 5 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: 12 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
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What are some alternatives?

When comparing Raphael and Plotly, you can also consider the following products

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.

p5.js - JS library for creating graphic and interactive experiences

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

Snap.svg - Snap.svg is a javascript SVG library for the modern web.

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

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...