XLSTAT vs WEKA Comparison | Features, Pricing & Reviews | Krowdbase

XLSTAT vs WEKA Comparison: Everything You Need to Know Before Choosing

Explore a comprehensive comparison of XLSTAT and WEKA to understand how they differ in features, pricing, category, and overall performance. Whether you're evaluating software for a small team or a growing enterprise, this guide helps you identify the solution that best aligns with your needs.

XLSTAT Vs WEKA: Compare Features, Pricing & Overall Value

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XLSTAT

The leading data analysis and statistical solution for Microsoft EXCEL. Analyze, customize and share your results.

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WEKA logo
WEKA

WEKA is a data platform that provides high performance, infinite scale, and effortless sustainability for cloud and AI.

General Information
Overview
XLSTAT is a statistical analysis and data analysis software add-in for Microsoft Excel, developed by Addinsoft, a French company, and now part of Lumivero. Since its launch in the 1990s, XLSTAT has become one of the most widely used statistical tools for Excel, offering a large number of analytical functions within the spreadsheet environment that many professionals already know. The problem it addresses is that Excel’s built-in statistical functions are limited, while dedicated statistical packages can be expensive, require specialist training or necessitate moving data between applications. XLSTAT extends Excel with advanced methods while keeping data, analysis and results in familiar workbooks, making sophisticated statistics accessible to researchers, analysts and students without programming skills. Its approach combines breadth of methods with an intuitive dialogue-based interface and clearly formatted outputs that can be customised and shared with colleagues. The software covers descriptive statistics, hypothesis testing, regression and ANOVA, multivariate analysis such as principal component analysis and cluster analysis, time series forecasting, survival analysis, machine learning methods and data visualisation. Specialised solutions address particular disciplines, including sensory and consumer research, marketing analytics, quality control and design of experiments, life sciences, ecology and forensics, with dedicated editions bundling relevant functions. Results are generated directly in Excel sheets, with charts and tables that can be modified and reused, and the software integrates with R for users who wish to extend its capabilities. XLSTAT is available for Windows and macOS versions of Excel, and cloud-based options support analysis in Excel for the web. It is used by academic researchers, universities, pharmaceutical and food companies, market researchers, engineers and government agencies worldwide. Student and academic licences are also offered. Pricing starts from around USD 295 with a free trial, and a free version with basic functionality is also available.
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WEKA is a data platform software that provides a revolutionary architecture for managing all data types. The software aims to accelerate large-scale data pipelines with reduced epoch times, fast inferencing, and high images per second benchmarks. WEKA offers high speed and infinite scalability to handle tens of millions or billions of files across on-premises and cloud environments, solving big data problems for industries like life sciences, media, finance, and government.
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Pricing
Price
$295/Per Year
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Free Trial
Available
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Features
Data Capture and Transfer
Data Visualization
Predictive Analytics
Reporting/Analytics
Statistical Analysis
Data Analysis Tools
Text Analysis
Regression Analysis
Reporting & Statistics
Statistical Process Control
Statistical Simulation
Time Series Analysis
Dashboard
Data Discovery
Self-service Analytics
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Frequently Asked Questions XLSTAT vs WEKA

XLSTAT and WEKA differ in their features, pricing, user experience, integrations, deployment options, and overall capabilities. The right choice depends on your business goals, team size, budget, and specific requirements. Compare both solutions side by side to understand which platform better fits your needs.

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