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Xlstat VS Plotly

Compare Xlstat VS Plotly and see what are their differences

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Xlstat logo Xlstat

Xlstat is for getting the perfect data analysis in MS Excel.

Plotly logo Plotly

Low-Code Data Apps
  • Xlstat Landing page
    Landing page //
    2023-09-29
  • Plotly Landing page
    Landing page //
    2023-07-31

Xlstat videos

+ Add

How to get started with XLSTAT?

More videos:

  • Review - XLStat 2020 Full Premium License Key & Keygen [100% Activated] Download

Plotly videos

+ Add

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 Xlstat and Plotly)

Xlstat

Plotly

Business & Commerce
100 100%
Business & Commerce
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
Data Dashboard
6 6%
Data Dashboard
94% 94

User comments

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

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

Xlstat Reviews

25 Best Statistical Analysis Software
XLSTAT is a versatile statistical software add-on for Microsoft Excel that enables researchers to analyze data and make well-informed decisions.
Source: www.scijournal.org
Top 10 Free Statistical Analysis Software 2023
1. XLSTAT includes descriptive statistics, inferential statistics, regression analysis, ANOVA, factor analysis, survival analysis, multivariate analysis, time series analysis, and other statistical analysis tools.
Source: fellowshipbard.com

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 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.

Xlstat mentions (0)

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

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: 11 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
View more

What are some alternatives?

When comparing Xlstat and Plotly, you can also consider the following products

GraphPad Prism - Overview. GraphPad Prism, available for both Windows and Mac computers, combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization.

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.

Azure Databricks - Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.

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

MyAnalytics - MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.

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

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