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SpatialData: an open and universal framework for processing spatial omics data.

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SpatialData is a data framework, a schema and a serialization format for uni- and multi-modal spatial omics datasets. It is supported by a growing suite of software libraries for performant access, manipulation and analysis in multiple languages, including Python, R and JavaScript.

This repository contains the core spatialdata library. See the links below to learn more about other packages in the SpatialData ecosystem.

spatialdata is part of the scverse® project (website, governance) and is fiscally sponsored by NumFOCUS. If you like scverse® and want to support our mission, please consider making a tax-deductible donation to help the project pay for developer time, professional services, travel, workshops, and a variety of other needs.

The spatialdata project also received support by the Chan Zuckerberg Initiative.


SpatialDataOverview

  • The library is currently under review. We expect there to be changes as the community provides feedback. We have an announcement channel for communicating these changes, please see the contact section below.
  • The SpatialData storage format is built on top of the OME-NGFF specification.

Getting started

Please refer to the documentation. In particular:

Another useful resource to get started is the source code of the spatialdata-io package, which shows example of how to read data from common technologies.

Installation

Check out the docs for more complete installation instructions. To get started with the "batteries included" installation, you can install via pip:

pip install "spatialdata[extra]"

or via conda: Update Feb 2025: spatialdata cannot be currently be installed via conda because some dependencies of our dependencies are not updated in conda-forge and we are still waiting for an update. Please install from pip; the latest versions of the spatialdata libraries are always available via PyPI.

mamba install -c conda-forge spatialdata napari-spatialdata spatialdata-io spatialdata-plot

Limitations

  • Code only manually tested for Windows machines. Currently the framework is being developed using Linux, macOS and Windows machines, but it is automatically tested only for Linux and macOS machines.

Contact

To get involved in the discussion, or if you need help to get started, you are welcome to use the following options.

Finally, especially relevant for for developers that are building a library upon spatialdata, please follow this channel for:

  • Announcements on new features and important changes Zulip.

Citation

Marconato, L., Palla, G., Yamauchi, K.A. et al. SpatialData: an open and universal data framework for spatial omics. Nat Methods (2024). https://doi.org/10.1038/s41592-024-02212-x

About

An open and universal framework for processing spatial omics data

spatialdata.scverse.org/

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Code of conduct

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Contributing
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GitHub - melonora/spatialdata: An open and universal framework for processing spatial omics data · GitHub
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SpatialData: an open and universal framework for processing spatial omics data.
Testspre-commit.ci statuscodecovdocumentation badgeDOIDownloadsReleaseDocumentationAnaconda-Server Badge
SpatialData is a data framework, a schema and a serialization format for uni- and multi-modal spatial omics datasets. It is supported by a growing suite of software libraries for performant access, manipulation and analysis in multiple languages, including Python, R and JavaScript.
This repository contains the core spatialdata library. See the links below to learn more about other packages in the SpatialData ecosystem.
spatialdata is part of the scverse® project (website, governance) and is fiscally sponsored by NumFOCUS.
If you like scverse® and want to support our mission, please consider making a tax-deductible donation to help the project pay for developer time, professional services, travel, workshops, and a variety of other needs.
The spatialdata project also received support by the Chan Zuckerberg Initiative.

SpatialDataOverview
  • The library is currently under review. We expect there to be changes as the community provides feedback. We have an announcement channel for communicating these changes, please see the contact section below.
  • The SpatialData storage format is built on top of the OME-NGFF specification.
Getting started
Please refer to the documentation. In particular:
Another useful resource to get started is the source code of the spatialdata-io package, which shows example of how to read data from common technologies.
Installation
Check out the docs for more complete installation instructions. To get started with the "batteries included" installation, you can install via pip:
pip install "spatialdata[extra]"
or via conda:
Update Feb 2025: spatialdata cannot be currently be installed via conda because some dependencies of our dependencies are not updated in conda-forge and we are still waiting for an update. Please install from pip; the latest versions of the spatialdata libraries are always available via PyPI.
mamba install -c conda-forge spatialdata napari-spatialdata spatialdata-io spatialdata-plot
Limitations
  • Code only manually tested for Windows machines. Currently the framework is being developed using Linux, macOS and Windows machines, but it is automatically tested only for Linux and macOS machines.
Contact
To get involved in the discussion, or if you need help to get started, you are welcome to use the following options.
Finally, especially relevant for for developers that are building a library upon spatialdata, please follow this channel for:
  • Announcements on new features and important changes Zulip.
Citation
Marconato, L., Palla, G., Yamauchi, K.A. et al. SpatialData: an open and universal data framework for spatial omics. Nat Methods (2024). https://doi.org/10.1038/s41592-024-02212-x
About
An open and universal framework for processing spatial omics data
spatialdata.scverse.org/
Resources
Readme
BSD-3-Clause license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
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GitHub - melonora/spatialdata: An open and universal framework for processing spatial omics data · GitHub
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SpatialData banner
SpatialData: an open and universal framework for processing spatial omics data.
Testspre-commit.ci statuscodecovdocumentation badgeDOIDownloadsReleaseDocumentationAnaconda-Server Badge
SpatialData is a data framework, a schema and a serialization format for uni- and multi-modal spatial omics datasets. It is supported by a growing suite of software libraries for performant access, manipulation and analysis in multiple languages, including Python, R and JavaScript.
This repository contains the core spatialdata library. See the links below to learn more about other packages in the SpatialData ecosystem.
spatialdata is part of the scverse® project (website, governance) and is fiscally sponsored by NumFOCUS.
If you like scverse® and want to support our mission, please consider making a tax-deductible donation to help the project pay for developer time, professional services, travel, workshops, and a variety of other needs.
The spatialdata project also received support by the Chan Zuckerberg Initiative.

SpatialDataOverview
  • The library is currently under review. We expect there to be changes as the community provides feedback. We have an announcement channel for communicating these changes, please see the contact section below.
  • The SpatialData storage format is built on top of the OME-NGFF specification.
Getting started
Please refer to the documentation. In particular:
Another useful resource to get started is the source code of the spatialdata-io package, which shows example of how to read data from common technologies.
Installation
Check out the docs for more complete installation instructions. To get started with the "batteries included" installation, you can install via pip:
pip install "spatialdata[extra]"
or via conda:
Update Feb 2025: spatialdata cannot be currently be installed via conda because some dependencies of our dependencies are not updated in conda-forge and we are still waiting for an update. Please install from pip; the latest versions of the spatialdata libraries are always available via PyPI.
mamba install -c conda-forge spatialdata napari-spatialdata spatialdata-io spatialdata-plot
Limitations
  • Code only manually tested for Windows machines. Currently the framework is being developed using Linux, macOS and Windows machines, but it is automatically tested only for Linux and macOS machines.
Contact
To get involved in the discussion, or if you need help to get started, you are welcome to use the following options.
Finally, especially relevant for for developers that are building a library upon spatialdata, please follow this channel for:
  • Announcements on new features and important changes Zulip.
Citation
Marconato, L., Palla, G., Yamauchi, K.A. et al. SpatialData: an open and universal data framework for spatial omics. Nat Methods (2024). https://doi.org/10.1038/s41592-024-02212-x
About
An open and universal framework for processing spatial omics data
spatialdata.scverse.org/
Resources
Readme
BSD-3-Clause license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
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GitHub - melonora/spatialdata: An open and universal framework for processing spatial omics data · GitHub
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SpatialData banner
SpatialData: an open and universal framework for processing spatial omics data.
Testspre-commit.ci statuscodecovdocumentation badgeDOIDownloadsReleaseDocumentationAnaconda-Server Badge
SpatialData is a data framework, a schema and a serialization format for uni- and multi-modal spatial omics datasets. It is supported by a growing suite of software libraries for performant access, manipulation and analysis in multiple languages, including Python, R and JavaScript.
This repository contains the core spatialdata library. See the links below to learn more about other packages in the SpatialData ecosystem.
spatialdata is part of the scverse® project (website, governance) and is fiscally sponsored by NumFOCUS.
If you like scverse® and want to support our mission, please consider making a tax-deductible donation to help the project pay for developer time, professional services, travel, workshops, and a variety of other needs.
The spatialdata project also received support by the Chan Zuckerberg Initiative.

SpatialDataOverview
  • The library is currently under review. We expect there to be changes as the community provides feedback. We have an announcement channel for communicating these changes, please see the contact section below.
  • The SpatialData storage format is built on top of the OME-NGFF specification.
Getting started
Please refer to the documentation. In particular:
Another useful resource to get started is the source code of the spatialdata-io package, which shows example of how to read data from common technologies.
Installation
Check out the docs for more complete installation instructions. To get started with the "batteries included" installation, you can install via pip:
pip install "spatialdata[extra]"
or via conda:
Update Feb 2025: spatialdata cannot be currently be installed via conda because some dependencies of our dependencies are not updated in conda-forge and we are still waiting for an update. Please install from pip; the latest versions of the spatialdata libraries are always available via PyPI.
mamba install -c conda-forge spatialdata napari-spatialdata spatialdata-io spatialdata-plot
Limitations
  • Code only manually tested for Windows machines. Currently the framework is being developed using Linux, macOS and Windows machines, but it is automatically tested only for Linux and macOS machines.
Contact
To get involved in the discussion, or if you need help to get started, you are welcome to use the following options.
Finally, especially relevant for for developers that are building a library upon spatialdata, please follow this channel for:
  • Announcements on new features and important changes Zulip.
Citation
Marconato, L., Palla, G., Yamauchi, K.A. et al. SpatialData: an open and universal data framework for spatial omics. Nat Methods (2024). https://doi.org/10.1038/s41592-024-02212-x
About
An open and universal framework for processing spatial omics data
spatialdata.scverse.org/
Resources
Readme
BSD-3-Clause license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Stars
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GitHub - melonora/spatialdata: An open and universal framework for processing spatial omics data · GitHub
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SpatialData banner
SpatialData: an open and universal framework for processing spatial omics data.
Testspre-commit.ci statuscodecovdocumentation badgeDOIDownloadsReleaseDocumentationAnaconda-Server Badge
SpatialData is a data framework, a schema and a serialization format for uni- and multi-modal spatial omics datasets. It is supported by a growing suite of software libraries for performant access, manipulation and analysis in multiple languages, including Python, R and JavaScript.
This repository contains the core spatialdata library. See the links below to learn more about other packages in the SpatialData ecosystem.
spatialdata is part of the scverse® project (website, governance) and is fiscally sponsored by NumFOCUS.
If you like scverse® and want to support our mission, please consider making a tax-deductible donation to help the project pay for developer time, professional services, travel, workshops, and a variety of other needs.
The spatialdata project also received support by the Chan Zuckerberg Initiative.

SpatialDataOverview
  • The library is currently under review. We expect there to be changes as the community provides feedback. We have an announcement channel for communicating these changes, please see the contact section below.
  • The SpatialData storage format is built on top of the OME-NGFF specification.
Getting started
Please refer to the documentation. In particular:
Another useful resource to get started is the source code of the spatialdata-io package, which shows example of how to read data from common technologies.
Installation
Check out the docs for more complete installation instructions. To get started with the "batteries included" installation, you can install via pip:
pip install "spatialdata[extra]"
or via conda:
Update Feb 2025: spatialdata cannot be currently be installed via conda because some dependencies of our dependencies are not updated in conda-forge and we are still waiting for an update. Please install from pip; the latest versions of the spatialdata libraries are always available via PyPI.
mamba install -c conda-forge spatialdata napari-spatialdata spatialdata-io spatialdata-plot
Limitations
  • Code only manually tested for Windows machines. Currently the framework is being developed using Linux, macOS and Windows machines, but it is automatically tested only for Linux and macOS machines.
Contact
To get involved in the discussion, or if you need help to get started, you are welcome to use the following options.
Finally, especially relevant for for developers that are building a library upon spatialdata, please follow this channel for:
  • Announcements on new features and important changes Zulip.
Citation
Marconato, L., Palla, G., Yamauchi, K.A. et al. SpatialData: an open and universal data framework for spatial omics. Nat Methods (2024). https://doi.org/10.1038/s41592-024-02212-x
About
An open and universal framework for processing spatial omics data
spatialdata.scverse.org/
Resources
Readme
BSD-3-Clause license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
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GitHub - melonora/spatialdata: An open and universal framework for processing spatial omics data · GitHub
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SpatialData banner
SpatialData: an open and universal framework for processing spatial omics data.
Testspre-commit.ci statuscodecovdocumentation badgeDOIDownloadsReleaseDocumentationAnaconda-Server Badge
SpatialData is a data framework, a schema and a serialization format for uni- and multi-modal spatial omics datasets. It is supported by a growing suite of software libraries for performant access, manipulation and analysis in multiple languages, including Python, R and JavaScript.
This repository contains the core spatialdata library. See the links below to learn more about other packages in the SpatialData ecosystem.
spatialdata is part of the scverse® project (website, governance) and is fiscally sponsored by NumFOCUS.
If you like scverse® and want to support our mission, please consider making a tax-deductible donation to help the project pay for developer time, professional services, travel, workshops, and a variety of other needs.
The spatialdata project also received support by the Chan Zuckerberg Initiative.

SpatialDataOverview
  • The library is currently under review. We expect there to be changes as the community provides feedback. We have an announcement channel for communicating these changes, please see the contact section below.
  • The SpatialData storage format is built on top of the OME-NGFF specification.
Getting started
Please refer to the documentation. In particular:
Another useful resource to get started is the source code of the spatialdata-io package, which shows example of how to read data from common technologies.
Installation
Check out the docs for more complete installation instructions. To get started with the "batteries included" installation, you can install via pip:
pip install "spatialdata[extra]"
or via conda:
Update Feb 2025: spatialdata cannot be currently be installed via conda because some dependencies of our dependencies are not updated in conda-forge and we are still waiting for an update. Please install from pip; the latest versions of the spatialdata libraries are always available via PyPI.
mamba install -c conda-forge spatialdata napari-spatialdata spatialdata-io spatialdata-plot
Limitations
  • Code only manually tested for Windows machines. Currently the framework is being developed using Linux, macOS and Windows machines, but it is automatically tested only for Linux and macOS machines.
Contact
To get involved in the discussion, or if you need help to get started, you are welcome to use the following options.
Finally, especially relevant for for developers that are building a library upon spatialdata, please follow this channel for:
  • Announcements on new features and important changes Zulip.
Citation
Marconato, L., Palla, G., Yamauchi, K.A. et al. SpatialData: an open and universal data framework for spatial omics. Nat Methods (2024). https://doi.org/10.1038/s41592-024-02212-x
About
An open and universal framework for processing spatial omics data
spatialdata.scverse.org/
Resources
Readme
BSD-3-Clause license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
GitHub - melonora/spatialdata: An open and universal framework for processing spatial omics data · GitHub
Skip to content
BranchesTags
Repository files navigation
SpatialData banner
SpatialData: an open and universal framework for processing spatial omics data.
Testspre-commit.ci statuscodecovdocumentation badgeDOIDownloadsReleaseDocumentationAnaconda-Server Badge
SpatialData is a data framework, a schema and a serialization format for uni- and multi-modal spatial omics datasets. It is supported by a growing suite of software libraries for performant access, manipulation and analysis in multiple languages, including Python, R and JavaScript.
This repository contains the core spatialdata library. See the links below to learn more about other packages in the SpatialData ecosystem.
spatialdata is part of the scverse® project (website, governance) and is fiscally sponsored by NumFOCUS.
If you like scverse® and want to support our mission, please consider making a tax-deductible donation to help the project pay for developer time, professional services, travel, workshops, and a variety of other needs.
The spatialdata project also received support by the Chan Zuckerberg Initiative.

SpatialDataOverview
  • The library is currently under review. We expect there to be changes as the community provides feedback. We have an announcement channel for communicating these changes, please see the contact section below.
  • The SpatialData storage format is built on top of the OME-NGFF specification.
Getting started
Please refer to the documentation. In particular:
Another useful resource to get started is the source code of the spatialdata-io package, which shows example of how to read data from common technologies.
Installation
Check out the docs for more complete installation instructions. To get started with the "batteries included" installation, you can install via pip:
pip install "spatialdata[extra]"
or via conda:
Update Feb 2025: spatialdata cannot be currently be installed via conda because some dependencies of our dependencies are not updated in conda-forge and we are still waiting for an update. Please install from pip; the latest versions of the spatialdata libraries are always available via PyPI.
mamba install -c conda-forge spatialdata napari-spatialdata spatialdata-io spatialdata-plot
Limitations
  • Code only manually tested for Windows machines. Currently the framework is being developed using Linux, macOS and Windows machines, but it is automatically tested only for Linux and macOS machines.
Contact
To get involved in the discussion, or if you need help to get started, you are welcome to use the following options.
Finally, especially relevant for for developers that are building a library upon spatialdata, please follow this channel for:
  • Announcements on new features and important changes Zulip.
Citation
Marconato, L., Palla, G., Yamauchi, K.A. et al. SpatialData: an open and universal data framework for spatial omics. Nat Methods (2024). https://doi.org/10.1038/s41592-024-02212-x
About
An open and universal framework for processing spatial omics data
spatialdata.scverse.org/
Resources
Readme
BSD-3-Clause license
Code of conduct
Code of conduct
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Contributing
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filter: invert(1) hue-rotate(180deg) !important;
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}
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} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
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GitHub - melonora/spatialdata: An open and universal framework for processing spatial omics data · GitHub
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SpatialData: an open and universal framework for processing spatial omics data.
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SpatialData is a data framework, a schema and a serialization format for uni- and multi-modal spatial omics datasets. It is supported by a growing suite of software libraries for performant access, manipulation and analysis in multiple languages, including Python, R and JavaScript.
This repository contains the core spatialdata library. See the links below to learn more about other packages in the SpatialData ecosystem.
spatialdata is part of the scverse® project (website, governance) and is fiscally sponsored by NumFOCUS.
If you like scverse® and want to support our mission, please consider making a tax-deductible donation to help the project pay for developer time, professional services, travel, workshops, and a variety of other needs.
The spatialdata project also received support by the Chan Zuckerberg Initiative.

SpatialDataOverview
  • The library is currently under review. We expect there to be changes as the community provides feedback. We have an announcement channel for communicating these changes, please see the contact section below.
  • The SpatialData storage format is built on top of the OME-NGFF specification.
Getting started
Please refer to the documentation. In particular:
Another useful resource to get started is the source code of the spatialdata-io package, which shows example of how to read data from common technologies.
Installation
Check out the docs for more complete installation instructions. To get started with the "batteries included" installation, you can install via pip:
pip install "spatialdata[extra]"
or via conda:
Update Feb 2025: spatialdata cannot be currently be installed via conda because some dependencies of our dependencies are not updated in conda-forge and we are still waiting for an update. Please install from pip; the latest versions of the spatialdata libraries are always available via PyPI.
mamba install -c conda-forge spatialdata napari-spatialdata spatialdata-io spatialdata-plot
Limitations
  • Code only manually tested for Windows machines. Currently the framework is being developed using Linux, macOS and Windows machines, but it is automatically tested only for Linux and macOS machines.
Contact
To get involved in the discussion, or if you need help to get started, you are welcome to use the following options.
Finally, especially relevant for for developers that are building a library upon spatialdata, please follow this channel for:
  • Announcements on new features and important changes Zulip.
Citation
Marconato, L., Palla, G., Yamauchi, K.A. et al. SpatialData: an open and universal data framework for spatial omics. Nat Methods (2024). https://doi.org/10.1038/s41592-024-02212-x
About
An open and universal framework for processing spatial omics data
spatialdata.scverse.org/
Resources
Readme
BSD-3-Clause license
Code of conduct
Code of conduct
Contributing
Contributing
Activity
Stars
0 stars
Watchers
0 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages