SPM
SPM: A free, specialized toolkit for voxel-wise neuroimaging statistics and preprocessing. Ranked #36 of 106 in Statistical Analysis Software by our editors (5.9/10); pricing: Free plan; best for neuroimaging teams analyzing fMRI, PET, or EEG data.
At a glance
- Editor score5.9 / 10
- PricingFree plan
- Best forNeuroimaging teams analyzing fMRI, PET, or EEG data
- Free planYes
- Paid fromFree
- DeploymentDesktop
- Founded1991
- Facts checked25 Sep 2026
Where it wins
- Free GPL-2.0 software for Windows, macOS, and Linux
- Covers preprocessing, voxel-wise modeling, classical tests, and Bayesian analysis
- Supports GUI and command-line workflows with broad neuroimaging imports
Where it doesn't
- Focused on neuroimaging rather than general-purpose statistical analysis
- Desktop-only deployment limits browser-based or hosted workflows
- MATLAB is recommended, while standalone and Octave paths require selection
Our verdict on SPM
SPM (Statistical Parametric Mapping) is an open-source package for hypothesis testing and statistical analysis of neuroimaging data. It is designed for researchers and academic laboratories working with fMRI, PET, SPECT, EEG, or MEG. The software combines a graphical user interface with command-line operation, supporting both interactive analysis and scripted workflows. Its scope is specialized: teams seeking neuroimaging statistics and image-processing workflows will find a closer fit than organizations looking for a general statistical application.
SPM is distributed free under GPL-2.0, with desktop versions for Windows, macOS, and Linux. The published installation options include MATLAB-based use as well as standalone and Octave paths that do not require a MATLAB license. That gives teams flexibility around their existing environment, but they still need to select and maintain a suitable installation route. Data handling includes DICOM import with NIfTI output, alongside NIfTI, Analyze, OPM, FIF, and LVM formats. Support is centered on documentation and community channels rather than a commercial service tier.
Its strongest capability is the depth of its neuroimaging workflow: realignment, coregistration, normalization, smoothing, general linear modeling with voxel-wise parameter estimation, T and F tests, contrast-based inference, and Bayesian first-level analysis with posterior probability maps. OPM/M-EEG processing and manufacturer-specific formats extend that focus across modalities. Choose SPM when your work requires these domain-specific pipelines, statistical tests, or scripting support. Choose a broader statistical package instead if your primary needs sit outside neuroimaging or require a non-desktop deployment model.
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SPM pricing
SPM fact sheet
| Free plan | Yes |
|---|---|
| Paid from | Free |
| Deployment | Desktop |
| Statistical tests | Yes |
| Regression models | Yes |
| Scripting support | Yes |
| Bayesian analysis | Yes |
| Data import formats | NIfTI (.nii), Analyze (.hdr/.img), DICOM (converted to NIfTI), OPM binary/TSV/JSON, FIF and LVM |
| Deployment | Desktop |
| Platforms | Windows, macOS, Linux |
| Support | Docs, Community |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Free plan |
| Website | fil.ion.ucl.ac.uk |
| Facts checked | 25 Sep 2026 |
Alternatives to SPM
- RA free, programmable environment for statistical analysis, modeling, visualization, and data import.9.4
- StataA broad, scriptable desktop environment for professional and reproducible applied analysis.9.3
- IBM SPSS StatisticsA broad desktop statistics suite with testing, modeling, forecasting, reporting, and R/Python integration.9.2
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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