Software Alternatives & Reviews

Plotly VS DataPad

Compare Plotly VS DataPad and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

DataPad logo DataPad

The Easiest Way to Track KPIs as a Team
  • Plotly Landing page
    Landing page //
    2023-07-31
  • DataPad Landing page
    Landing page //
    2023-10-19

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

DataPad videos

Everything you need to know about the Datapad in Star Wars Galaxy's Edge | Walt Disney World

More videos:

  • Review - Star Wars Datapad, New Galaxy’s Edge Book & Other Stuff We Bought!
  • Review - Losing at Galaxy's Edge: The Datapad & Smuggler's Run (Opinion)
  • Review - Galaxy's Edge $45 Datapad Builder kit BUT I made it BETTER???
  • Review - Star Wars Galaxy's Edge Datapad Trading Hack to complete your Datapad

Category Popularity

0-100% (relative to Plotly and DataPad)
Data Visualization
94 94%
6% 6
Data Dashboard
87 87%
13% 13
Productivity
0 0%
100% 100
Charting Libraries
100 100%
0% 0

User comments

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Reviews

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

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.

DataPad Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Datapad isn't meant for in-depth KPI tracking. The motive of building this tool is to save founders and businesses time. What you get with it is a quick overview of all the KPIs, and you can then guide your team via the app about how to tackle specific KPI outbursts.
Source: www.datapad.io

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. 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.

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: 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
  • 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

DataPad mentions (0)

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

What are some alternatives?

When comparing Plotly and DataPad, 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.

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.

June - Instant analytics reports, built on top of Segment

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

Maptiks - Analytics for web map applications