Software Alternatives & Reviews

Apache Superset VS Plotly

Compare Apache Superset VS Plotly and see what are their differences

Apache Superset

modern, enterprise-ready business intelligence web application

Plotly

Low-Code Data Apps
  • Apache Superset Landing page
    Landing page //
    2023-10-21
  • Plotly Landing page
    Landing page //
    2023-07-31

Apache Superset

Categories
  • Data Analysis And Visualization
  • Business Intelligence
  • Data Dashboard
  • Data Visualization
Website superset.apache.org  
Pricing URL-
Details $

Plotly

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

Apache Superset videos

Observing Intraday Indicators Using Real-Time Tick Data on Apache Superset and Druid

More videos:

  • Review - Apache Superset-Building Dashboard-Filter or Slicer
  • Review - Installing Apache Superset

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 Apache Superset and Plotly)
Data Dashboard
39 39%
61% 61
Data Visualization
28 28%
72% 72
Business Intelligence
62 62%
38% 38
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 Apache Superset and Plotly

Apache Superset Reviews

8 Alternatives to Apache Superset That’ll Empower Start-ups and Small Businesses with BI
Open-source vs cloud-hosted vs self-hosted Apache Superset open-sourceApache Superset interactive example dashboard. Image source: https://superset.apache.org/Main features and benefits Pricing and offersBest for Main drawbacks Apache Superset alternatives that are suitable for a small business or startup 1. Trevor.ioMain features and benefits Pricing and offersKey...
Source: trevor.io
Top 10 Tableau Open Source Alternatives: A Comprehensive List
Apache Superset is one of the best Tableau Open Source alternatives that you can opt for Data Exploration and Business Analytics. This Open-Source project is licensed under the Apache License 2.0, which allows anyone to use it and distribute a modified version of it. In comparison to Tableau, which charges a minimum of $15 per month for Tableau Viewer, this software is...
Source: hevodata.com
Top 10 Data Analysis Tools in 2022
Apache Superset It is an open-source software application, meaning it can be modified to suit a company’s needs. It is among the few data analysis tools available to handle big data. Apache Superset is free to use. Apache Superset is a free tool businesses can use to explore and visualize data. However, it does not support NoSQL databases.

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, Apache Superset should be more popular than Plotly. It has been mentiond 51 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.

Apache Superset mentions (51)

  • A modern data stack for startups
    Do you have any thoughts on Superset? Did you consider it as a candidate? For anyone who doesn't know: https://superset.apache.org/ (There's at least one service that offers managed Superset hosting if that's what you're looking for; it's easy to find so I won't link it here.). - Source: Hacker News / 2 months ago
  • More public SQL-queryable databases?
    Recently I discovered BigQuery public datasets - just over 200 datasets available for directly querying via SQL. I think this is a great thing! I can connect these direct to an analytics platform (we use Apache Superset which uses Python SQLAlchemy under the hood) for example and just start dashboarding. Source: 8 months ago
  • How useful is SQL for managers?
    If they don't want to pay for powerbi, can try something like https://superset.apache.org/. Source: 8 months ago
  • Real-time data analytics with Apache Superset, Redpanda, and RisingWave
    In today's fast-paced data-driven world, organizations must analyze data in real-time to make timely and informed decisions. Real-time data analytics enables businesses to gain valuable insights, respond to real-time events, and stay ahead of the competition. Also, the analytics engine must be capable of running analytical queries and returning results in real-time. In this article, we will explore how you can... - Source: dev.to / 9 months ago
  • How do you visualize / drill down your financial data (hlegder)
    For charting, I use superset. It is a good solution if you have a server, but a bit difficult to install. You can use hledger2psql to convert the journal to a database and you can use the docker-compose file included to install with one command. Source: 11 months 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: 3 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: 9 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: 10 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: 11 months 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 Apache Superset and Plotly, you can also consider the following products

Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases

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.

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.

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