XLCubed VS Plotly

Compare XLCubed VS Plotly and see what are their differences

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XLCubed

Discover business intelligence within Microsoft Excel with XLCubed's reporting and analytics tool. Connect to your business data, design reports and dashboards, and publish to a web platform to share with other users. UK HQ, global customers.

Plotly

Low-Code Data Apps

Landing page //
2023-09-13

Landing page //
2023-07-31

XLCubed Product Demo

Plotly videos

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

Category Popularity

0-100% (relative to XLCubed and Plotly)

XLCubed

Plotly

Business Intelligence

16 16%

Business Intelligence

84% 84

Data Visualization

4 4%

Data Visualization

96% 96

Data Dashboard

5 5%

Data Dashboard

95% 95

Charting Libraries

0 0%

Charting Libraries

100% 100

User comments

Share your experience with using XLCubed and Plotly. 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 XLCubed and Plotly

XLCubed 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.

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

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than XLCubed. While we know about 29 links to Plotly, we've tracked only 1 mention of XLCubed. 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.

XLCubed mentions (1)

BI tool to share a report (view only, apply filters) to a massive amount of specified users ?
XLCubed allows you to do that. You can manage the right and permissions easily so people can view and interact with the report via browser. You can completely control what level of interaction they have from full slice and dice analytics and filtering to just viewing with only a couple slicer to change. Source: almost 2 years 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