Software Alternatives & Reviews

Superset VS Plotly

Compare Superset VS Plotly and see what are their differences

Superset logo Superset

Superset is a platform that enables colleges to automate campus placements end-to-end, helps employers hire young talent from across colleges in the country, and empowers students to access opportunities democratically.

Plotly logo Plotly

Low-Code Data Apps
  • Superset Landing page
    Landing page //
    2023-07-21
  • Plotly Landing page
    Landing page //
    2023-07-31

Superset videos

SUPERSET PRE WORKOUT REVIEW | BEYOND YOURSELF

More videos:

  • Review - Open Source Data Visualization: What is Apache Superset? Part 2/2 - Why / when to use Superset
  • Review - FITNESS CREATORS NEED TO CHECK THIS OUT! - SuperSet 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 Superset and Plotly)
Data Dashboard
9 9%
91% 91
Data Visualization
4 4%
96% 96
Business Intelligence
23 23%
77% 77
Charting Libraries
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 Superset and Plotly

Superset Reviews

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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 Superset. While we know about 29 links to Plotly, we've tracked only 1 mention of Superset. 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.

Superset mentions (1)

  • Revolutionize Your Campus Recruitment with Superset's Advanced Software Solutions
    Superset's virtual campus placement and campus hiring software redefines the landscape of campus recruitment. By embracing automation, optimizing processes, and fostering meaningful connections, Superset empowers colleges and employers to embark on a transformative journey towards successful campus placements and strategic hiring of young talent. Elevate your campus recruitment game with Superset's advanced... Source: 5 months ago

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: 12 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 Superset and Plotly, you can also consider the following products

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.

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.

Metabase - Metabase is the easy, open source way for everyone in your company to ask questions and learn from...

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

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

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