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Fityk VS IBM SPSS Statistics

Compare Fityk VS IBM SPSS Statistics and see what are their differences

Fityk logo Fityk

Fityk. Open-source curve-fitting and data analysis software. Linux, Windows, Mac OS X.

IBM SPSS Statistics logo IBM SPSS Statistics

IBM SPSS Statistics is software that provides detailed analysis of statistical data. The company behind the product practically needs no introduction, as it's been a staple of the technology industry for over 100 years.
  • Fityk Landing page
    Landing page //
    2021-09-19
  • IBM SPSS Statistics Landing page
    Landing page //
    2023-09-16

Fityk videos

Short Workshop Fityk Software - M2ReG WEBINAR

IBM SPSS Statistics videos

IBM SPSS Statistics Overview

More videos:

  • Review - What's new in IBM SPSS Statistics 26

Category Popularity

0-100% (relative to Fityk and IBM SPSS Statistics)
Technical Computing
11 11%
89% 89
Numerical Computation
16 16%
84% 84
Data Dashboard
0 0%
100% 100
Data Visualization
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Fityk and IBM SPSS Statistics

Fityk Reviews

We have no reviews of Fityk yet.
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IBM SPSS Statistics Reviews

Top 7 Predictive Analytics Tools
IBM SPSS Statistics is a popular predictive analytics tool. It offers a user-friendly interface and a strong set of features including the SPSS modeler, which provides advanced statistical procedures, helps ensure precision, and provides positive decision-making. All of the analytics lifecycle features are included, such as data preparation and management to analysis and...
Top 10 Free Statistical Analysis Software 2023
IBM SPSS Statistics is a popular statistical software package that is widely used in academia, research, and industry for data analysis, reporting, and visualization. Some of the key features of IBM SPSS Statistics include:

Social recommendations and mentions

Based on our record, Fityk seems to be more popular. It has been mentiond 2 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.

Fityk mentions (2)

  • What you guys use to process data? Excel? r? python?
    Process as to retrieve the interesting bits? AWK and grep. Process as in curve fitting? fityk. Process as in running statistical tests? past4. But very often, it is not an "either a), or b)" but a combination of "a) and b)". Source: over 1 year ago
  • can anyone guide me how to download X'pert Highscore software? I don't know how to download..
    On the other hand - your question does not share what you eventually intend to do - if you want to plot the PXRD recorded to perform a baseline correction, pick the peaks, export the data, etc. Fityk may be an interesting tool equally useful outside crystallography (J. Appl. Cryst. 2010, 43, 1126-1128, DOI 10.1107/S0021889810030499 with 1.8k+ citations so far.) It runs on Linux, Windows, Mac; its actions can be... Source: over 1 year ago

IBM SPSS Statistics mentions (0)

We have not tracked any mentions of IBM SPSS Statistics yet. Tracking of IBM SPSS Statistics recommendations started around Mar 2021.

What are some alternatives?

When comparing Fityk and IBM SPSS Statistics, you can also consider the following products

NumeRe - Framework for numerical computations, data analysis and visualisation.

RStudio - RStudio™ is a new integrated development environment (IDE) for R.

SciDaVis - SciDAVis is a free application for Scientific Data Analysis and Visualization.

Stata - Stata is a software that combines hundreds of different statistical tools into one user interface. Everything from data management to statistical analysis to publication-quality graphics is supported by Stata. Read more about Stata.

MagicPlot - MagicPlot is a lightweight application for scientific and engineering data analysis, graphing, nonlinear curve fitting and multi-peak fitting.

JMP - JMP is a data representation tool that empowers the engineers, mathematicians and scientists to explore the any of data visually.