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Single-cell, Spatial & Cytometry · Spatial Omics Data Infrastructure

SpatialData

By scverse Consortium →

Unified data framework and storage format for spatial multi-omics

SpatialData is an open-source framework developed by the scverse consortium that standardizes the storage, alignment, and visualization of spatial omics data across imaging, sequencing, and morphology.

Standardized representation of spatial coordinates, images, labels, and feature tablesSupport for 10x Visium, 10x Xenium, NanoString CosMx, Akoya PhenoCycler, and Vizgen MERSCOPEAffine transformation engine for multi-modal spatial image co-registrationZarr-based storage for fast streaming and out-of-memory computation
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Overview

SpatialData is an open-source framework developed by the scverse consortium that standardizes the storage, alignment, and visualization of spatial omics data across imaging, sequencing, and morphology.

Information checked against an official source; not a hands-on test. Source · Last reviewed: 20/09/2026, 11:10:15

Key Features

  • Standardized representation of spatial coordinates, images, labels, and feature tables
  • Support for 10x Visium, 10x Xenium, NanoString CosMx, Akoya PhenoCycler, and Vizgen MERSCOPE
  • Affine transformation engine for multi-modal spatial image co-registration
  • Zarr-based storage for fast streaming and out-of-memory computation

Academic Context & Research Evidence

Biological & Workflow Fit

Biological Application
Spatial transcriptomics, multiplexed immunofluorescence, and tissue cartography
Research Workflow
Load raw spatial instrument files -> align coordinates -> perform spatial statistics and Napari visualization
Compute & Hardware
Standard Python environment (CPU/GPU)
Licensing & Academic Use
BSD-3-Clause
Documented Evidence
View validation publication / source ↗

Cite this Tool

Use this citation format when referencing SpatialData in scientific publications and benchmark papers.

@software{spatialdata_2026,
  title = {{SpatialData}},
  author = {{scverse Consortium}},
  year = {2026},
  url = {https://spatialdata.scverse.org},
  note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}

Peer-Reviewed Literature & Preprints

Live scientific citations streamed from Europe PMC and PubMed for SpatialData.

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Technical / Product Information

Missing values mean the catalog has no recorded information. They do not mean a feature is absent.

Entry typePython Library
Access modeOpen Source
AI roleSpatial Data Modeling & Alignment
Input dataNot recorded
Output dataNot recorded
Licence conditionsBSD-3-Clause
Commercial eligibilityPermissive open source release
Compute requirementsStandard Python environment (CPU/GPU)
ValidationNot recorded
TypeSpatial omics data standard and library
Intended useNot recorded
CompatibilityNot recorded
Manufacturerscverse Community
Biological applicationSpatial transcriptomics, multiplexed immunofluorescence, and tissue cartography
Research workflowLoad raw spatial instrument files -> align coordinates -> perform spatial statistics and Napari visualization
Evidence levelPeer-reviewed research (Nature Methods 2024)
Integration evidencehttps://spatialdata.scverse.org
Laboratory handoffEnables interactive histological exploration of spatial tissue biopsies
AvailabilityAvailable on PyPI and GitHub
Price / accessFree Open Source

Research fit & compatibility

No software–hardware integration has been verified for this entry yet. Explore documented research workflows.

Gallery & resources

No licensed product photograph recorded for SpatialData yet. Visit the official resource below for manufacturer imagery.

BEFORE YOU CHOOSE

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Alternatives

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FAQ

Where is this product available?

Available on PyPI and GitHub

How is pricing handled?

Prices reflect the source at its last check. Confirm current pricing and regional availability on the official site.

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Peer Reviews & Community Ratings

Feedback from researchers and computational biologists evaluating SpatialData.

5.0
★★★★★Based on 0 researcher evaluations
Biological Accuracy
4.8/5
Ease of Installation
4.3/5
Documentation & Code
4.6/5