Plotly VS Super

Super

Super is a subscription service that provides care and repair for your home.

Landing page //
2023-07-31

Landing page //
2023-07-28

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

Super videos

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Dragon Ball: SUPER Review (Part 1) - Battle of Gods & Resurrection F

Category Popularity

0-100% (relative to Plotly and Super)

Super

Data Visualization

100 100%

Data Visualization

0% 0

Productivity

0 0%

Productivity

100% 100

Data Dashboard

100 100%

Data Dashboard

0% 0

Web App

0 0%

Web App

100% 100

User comments

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

Reviews

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

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

Super Reviews

37 Apps Like Thumbtack To Help You Pick Up More Work in Your Field

Positioning itself as an online home services concierge, Super manages the logistics and coordinates maintenance and repair jobs. Pros can choose from an assortment of available jobs in their area with the mobile app. Once accepted, clients will be able to see your distance in proximity to their location (arrival time). Super covers breakdown charges for service pros.

Source: www.housecallpro.com

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 30 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.

Plotly mentions (30)

Essential Deep Learning Checklist: Best Practices Unveiled
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / 3 days ago
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: 6 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: about 1 year 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: about 1 year 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

Super mentions (0)

We have not tracked any mentions of Super yet. Tracking of Super recommendations started around Mar 2021.

What are some alternatives?

When comparing Plotly and Super, 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.

Potion - Transform outreach, close more deals, & boost response rates by up to 500% with Potion’s AI-Powered video prospecting magic 🎥🚀 Book a free demo to connect, convert, and close deals like never before!

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

Notelet - Create a website or blog with Notion.

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

Squared - Squared is a bite sized learning platform with insights in social media, marketing, sales, design and more.