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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 features and specs

  • Comprehensive Statistical Tools
    XLSTAT offers a wide range of statistical tools and methods, making it versatile for various types of data analysis, from basic statistics to advanced multivariate analysis.
  • Excel Integration
    Seamlessly integrates with Microsoft Excel, which allows users to perform complex statistical analyses without leaving the Excel environment they are familiar with.
  • User-Friendly Interface
    The interface is designed to be intuitive, helping users quickly learn how to navigate and apply statistical tests without the steep learning curve of standalone statistical software.
  • Comprehensive Documentation and Support
    Provides extensive documentation and customer support, which can be very helpful for troubleshooting and learning how to utilize the full capabilities of the software.
  • Customization and Flexibility
    Offers numerous customizable features that allow users to tailor their analysis to specific needs, including options for data visualization and reporting.

Possible disadvantages of Xlstat

  • Cost
    The software can be expensive for individuals or small businesses, particularly if all the advanced features and modules are required.
  • Resource-Intensive
    Complex analyses can be resource-intensive, requiring significant computing power, which might slow down processing on less powerful machines.
  • Excel Dependency
    While Excel integration is a strength, it also means the software cannot function independently of Excel, limiting its use to environments where Excel is available.
  • Learning Curve for Advanced Features
    While basic functions are easy to use, mastering advanced features could be challenging without prior statistical knowledge or training.
  • Limited Cross-Platform Compatibility
    Primarily designed for Windows, which could be a disadvantage for users working on Mac or other operating systems without a compatible version of Excel.

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

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

Technical Computing
100 100%
Technical Computing
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Office & Productivity
100 100%
Office & Productivity
0% 0
Data Dashboard
6 6%
Data Dashboard
94% 94

User comments

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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 33 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 (33)

  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / about 2 months ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / 4 months ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / 6 months ago
  • 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 / 11 months 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: 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.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

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