TensorFlow vs XLSTAT

Rayven

Clickworker

Google Cloud

Rayven delivers operational systems for industrial businesses, turning messy data into automation and made-to-fit operational applications.

clickworker has a full managed service to customize the collection, categorization and evaluation, tagging and annotation, of your AI training data. Some of the more popular services include datasets and text creation, data categorization, sentiment and text analysis, search relevance, and surveys.

Google Cloud Platform is a modular-based platform providing multiple build and scale services to businesses of any size within any industry. It offers tools for document storage, data warehousing, security key enforcement, app creation, API management, AI and machine learning, live chat, and more.

TensorFlow is an open-source platform, which helps developers, businesses, and researchers build, launch, and manage machine learning (ML)-enabled applications. The solution offers a collection of customizable workflows to assist organizations with developing and training models.

Configurable Workflow

Deep Learning

Model Training

Natural Language Processing

Predictive Modeling

Workflow Management

Open Source

TensorFlow

Web-based

Windows

Mixpanel

Minitab

Reputation

IT and Cybersecurity Coordinator

Leveraging its python integration and community tutorials, model building and tuning was dead simple.

TensorFlow has helped us to transition to proactive from reactive security.

Backend developer

Tensorflow helps me build, train and test models in machine learning and Deep learning. With its commpatibilty to create Deep learning neurons for training purpose and having methods to directly apply it makes tensorflow  the best to pursue!!

Teacher

AI tools need to be more graphically represented  

Data Scientist

It is hard to build our classes and integrate them with TensorFlow pre-built classes.

good performance .integration with python is easy

Student

It comes in handy for almost any stage related to Machine Learning, as it houses methods and toolkits to load data, analyze it, visualize results and much more.

software engineer

I have applied machine learning with tensorflow library for my university research.

Frequent version updates leads to changes in the code3.

Research Scholar

Need provision for TPU support, difficulty in understanding error messages, Tensor flow only supports NVIDIA GPU.

There is a huge support group for tensorflow and I got a great support from them while I was doing my research.

I used it to build many deep learning projects.

Researcher

Research Assistant

Convolutional neural networks for multi-dimensional arrays (2 to 5 dimensions)

TensorFlow is one of the most powerful frameworks made for machine learning and analysis.

Earlier it used to require a deeper level of understanding to use the library, but now it is very fluid, simple, and at the same time effective.

Chief Marketing Officer

It's very easily deployable, and allows users to leverage the Machine Learning reportedly used within Google itself.

Systems Engineer

tensorboard feature provides nice charts.

Systems engineer 

Tenaor flow is faster than other libraries like keras or theano.

Machine Learning Engineer

The ML features of this engine provide SOTA results in every task in machine learning and artificial intelligence.

Easy solution for the end-to-end deployment of machine learning models.

My overall experience is very good using TensorFlow to develop AI models.

Software Engineer

It's cross platform nature makes it one of the most popular libraries.

I like that both beginners and experts use this software.

I used it's machine learning services to integrate those in my web applications.

AI Engineer

Its easy to install on machine like Linux, and provide pretty accurate results for image classification and object detection.

Software developer

TensorFlow helped to Learn and understand the working of any machine learning models.

I used it mainly for image classification task.

Choosing number of hidden layers and learning rate is difficult to manage.

Frond End Dev

Tensorflow is great and intuitive but the computation speed isn't optimal.

Graph visualisation will help to understand the model.

Also it only supports NVIDIA not any others.

I would recommend everyone to use Google Cloud ML Engine for developing AI systems.

Awesome collection of libraries backed by Google

The ML features are very handy and easy to use and integrate in other applications as well.

It makes use of building the Deep Learning Architecture easy and convenient.

My overall experience with Google Cloud ML platform was very good.

Machine Learning models are easy to code.

User Interface

Library

Machine Learning

Project Build

Features

Training and Learning Curve

Performance and Speed

Customer Support

Model Deployment

Small Business

Mid-size Business

Large Enterprises

Freelancers

Google

Minitab Statistical Software helps organizations analyze data, improve quality, and make data-driven decisions with powerful statistical tools, predictive analytics, and both desktop and cloud-based access.

MATLAB

MATLAB is a programming and numeric computing platform, which enables businesses and educational institutions to create models, develop algorithms, analyze data sets and more. Professionals can use the live editor to create scripts and enhance code with hyperlinks, images, and headings.


IBM SPSS Statistics

IBM SPSS Statistics is a business intelligence software that helps businesses of all sizes conduct statistical analysis utilizing big data, machine learning algorithms, open-source extensibility, and other methodologies from within a unified platform.

The leading data analysis and statistical solution for Microsoft EXCEL®

Association Discovery

Customer Database

Customizable Reports

Dashboard

Data Analysis Tools

Data Capture and Transfer

Data Discovery

Data Management

Data Preparation

Data Visualization

Forecasting

ML Algorithm Library

Multivariate Analysis

Predictive Analytics

Regression Analysis

Reporting/Analytics

Reporting & Statistics

Self-service Analytics

Statistical Analysis

Statistical Process Control

Statistical Simulation

Survival Analysis

Text Analysis

Time Series Analysis

Some users say XLSTAT offers affordable pricing and good value, especially for students, and they appreciate academic discounts. However, some reviewers find it expensive for academics and small businesses, and report added costs for premium features.

Value for money

The XLSTAT integration most frequently cited by reviewers is Microsoft Excel, a spreadsheet product rated 4.9 out of 5 for its integration with XLSTAT.

Integrations

By industry, XLSTAT reviewers are most commonly professionals in research (16%). The most frequent use case for XLSTAT cited by reviewers is statistical analysis (83% of reviewers).

Proprietary

XLSTAT

Stata

XLSTAT BASIC

XLSTAT BASIC+

Premium

High cost for students

51% of reviewers feel negative about XLSTAT’s pricing. Some users report that the software is expensive, particularly for students and small businesses with limited budgets. Reviewers indicate that the annual subscription and maintenance fees are difficult to afford without institutional support. Some reviewers find that even student versions are pricey and not easily accessible. Users say the inability to purchase individual tools adds to the cost, making it less attractive for those who use XLSTAT infrequently or only need specific features.

Frequent crashes and glitches

67% of reviewers feel negative about XLSTAT’s bugs and issues. Some users report frequent crashes, especially when handling large datasets or using the software on Mac systems. Reviewers indicate that installation and updates can be problematic, sometimes requiring complete reinstallation. Some reviewers find that compatibility issues with certain Excel versions and Windows or Mac updates disrupt their workflow. Users say error messages are often unclear, and troubleshooting can be difficult. They find that glitches and freezing occasionally lead to lost work and frustration during data analysis.

Seamless Excel integration

97% of reviewers feel positive about XLSTAT’s integrations. Some users report that XLSTAT’s seamless integration with Microsoft Excel is a major advantage, enabling them to process and analyze data without switching platforms. Reviewers indicate that the add-in format leverages Excel’s familiar environment, making advanced statistical functions easy to access. Some reviewers find that transferring data between Excel and XLSTAT is efficient, saving time and reducing confusion. Users think the compatibility with Excel and R software expands their analytical capabilities and streamlines their workflow.

Comprehensive statistics in Excel

98% of reviewers feel positive about XLSTAT’s statistics capabilities. Some users report that XLSTAT offers a wide range of statistical analyses directly within Excel, making it accessible for both beginners and advanced users. Reviewers indicate that the integration with Excel simplifies complex statistical tasks and helps them achieve better results in academic courses and research. Some reviewers find it especially valuable for teaching and learning statistics, as it provides clear guidance and easy-to-use tools. Users think the software enhances their understanding of statistical concepts and improves their performance in related subjects.

Effortless usability and setup

I have been using XLSTATE for more than 11 years and I found it as easy to use and effeicent

94% of reviewers feel positive about XLSTAT’s ease of use. Some reviewers find the software straightforward to install and operate, noting that familiarity with Excel is sufficient to get started. Users think XLSTAT’s interface is intuitive, allowing them to complete tasks quickly and efficiently. Reviewers appreciate that the software requires minimal training and is accessible even for those with limited statistical knowledge. Some users say the clear instructions and fast setup help them finish assignments and work projects on time. They find the tool convenient for both academic and professional purposes.

Research Staff

The best part is where Sen's slope test is incorporated in Mann-Kendall analysis, an aspect often missing in great softwares like SAS.

The limitations on graphics and data visualization as it requires additional purchase of Zenplot.

It is restricted to one machine so I have to carry my laptop to wherever I need to work.

Associated profesor

There are some methods for reordering data, or adding missing values, but it not works in some times.

professor

This flexibility is probably its greatest feature.

ownter

Basic stats should include survival statistics - found another program to do this for less than the upgrade to life sciences

I migrated from older Statview and Systat, a great move.

research assistant

Some advanced features require additional learning, and the pricing can be a bit high for individual users.

It integrates seamlessly with Excel, making data analysis straightforward.

Officer

An annual subscription system that requires customers to renew every year.

The wide range of features is beneficial, though some complex functions require extra time to master

Researcher of Plant Breeding of Hevea Rubber

On the go statistic application for Excel type of data.

PhD Candidate

Using the excel environment for data analyses and visualisation is a winner; creates a short learning curve for any new analyst.

Sensory Manager

Overall, it covers the essential sensory tools and methodologies used by Sensory Science these days such as TCATA, Temporal and Time Intensity.

The calculations and diagrams that were written with it made possible for us to publish in high-ranking publications

medical physicist

Limited product packages - no possibility of customization by combining selected functionalities from different packages.

ENVIRONMENTAL SPECIALIST

The Excel compatibility, It is certainly a great addition.

Professor

XLSTAT has been a "one-stop" statistical analysis tool for me, a real time-saver, improving my ability to explore complex datasets without hopping around different programs.  

Owner

It is easy to use with small to moderately sized databases.

Math Professor and Doctoral Student

I use XLSTAT to my thesis and is awesome!

Easy to use since this application is added on Excel.

Young researcher

When perform several consecutive analysis for results in different sheets, the software returns me to the previous sheet in which the analysis was performed, unless I immediately press the reset button.

Senior News Editor

It has a wide range of features and tools, including advanced statistical testing, data visualization, and predictive analytics.

Xlstat is exactly the statistical software I need.

Scientific Researcher 

I wish I could use my license in any computer, with a pincode that identify myself....

PhD Student

R functions integrated, especially AML ones, and the bundle of statistical functions.

Analytics Market Manager

As part of a Market research project we needed to further analyse the relationship between ordinal variables.

Better documentation for interpreting the outcomes of the various modèles.

Clinical Research Consultant

The exercise compels non-statisticians to pay attention to the statistical considerations at the earliest stages of clinical trial design and protocol development.

Graduate Assistant

There are only few of options available, but i was wondering if we can use the volcano plot.

Within XLSTAT's clustering methods (AFC in our case) was a perfect fit.

Maitre de conférences

Lack of tutorials for using data analysis

Data Analyst

The one thing that keeps me coming back to XLSTAT despite many alternatives is the ability of the software to write a summary interpretation of statistical tests

Given that I have advanced level knowledge in excel, this streamlines my workflow significantly with the way it is integrated into excel.

Xlsat has allowed me to analyze and predict data beyond any scope I have before.

CEO 

No need for complicated formulas to get your results.

TensorFlow vs XLSTAT Comparison (2026)

TensorFlow

XLSTAT

Overview

Video & Screenshots

Pricing

User reviews

Key features

Integrations

Alternatives