Share your analysis tool with researchers everywhere — No GUI development required.

We’re building developer services to help bring Python-driven analysis to the imaging community, and we want you to be involved.

Led by microscopy and Python experts and built by a growing community, napari is quickly becoming an essential tool for visualizing and exploring imaging data. Our soon-to-debut napari Developer Portal, managed by the Imaging team at the Chan Zuckerberg Initiative, will support napari’s plugin developer community every step of the way.

Python icon with arrow pointing to an application window.

Code in Python. No GUI work required.

You shouldn’t have to learn another programming language or write GUIs to make your analysis tool easy to use. napari lets you use the Python machine learning and scientific computing frameworks you love (like NumPy, PyTorch, Dask). napari is designed with researchers’ needs in mind and takes the GUI work off your hands.

Git merge workflow with checked boxes.

Commit your changes. We’ll handle the testing.

Testing and packaging scientific Python tools can be a headache. Our Github integrations will help you every step of the way, so you can be sure your plugin works the way you want and share it with the community when you’re ready.

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Connect with your users. Get the credit you deserve.

When researchers use your plugin, we want to make sure that you get the credit. We’ll make it easy for researchers to cite your plugin when they publish and let you maintain a public profile showcasing your work.

Sign up today and get a front-row seat to the next frontier of image analysis. Our followup questionnaire will let you tell us what you want to build and how we can help, you’ll be the first to know when the portal launches, and be able to connect with the CZI team to provide early feedback to make the portal work for you.

Twitter logo. napari has completely changed image analysis in python. Looking forward to taking advantage of the new plugin system for @findingcells.

Adam Tyson, neuroscientist and software developer in the Margrie Lab in the Sainsbury Wellcome Centre at University College London

“The napari community is just amazing. There is always someone who supports you in case of trouble, either via github.com or on image.sc Furthermore, the way napari developers integrate users into the decision making process is outstanding. They take us with them and thus, shape napari into a truly community driven open-source project.”

Robert Haase, Bio-image Analysis Technology Development group leader at the Cluster of Excellence Physics of Life at the TU Dresden, Germany

Twitter logo. I cannot overstate how much of a game changer @napari_imaging with magicGUI has been for me. Arbitrary python code runs with a button click. Made an interactive marker-controlled segmentation, integrated with my existing data backend in like 15 mins.

Damian Dalle Nogare, Staff Scientist at National Institutes of Health

About

The napari Developer Portal is a service of the Chan Zuckerberg Initiative. napari is a consensus-based community project and an open source tool that enables high performance visualization and exploration of a broad range of imaging data, including microscopy, medical imaging, geospatial data, and more, with clearly defined governance model, mission, and values. At CZI, we support the development of open source and community run tools like napari, as part of our mission to accelerate biomedical research and help every scientist make progress faster. The CZI Imaging Team seeks to remove barriers in the analysis of imaging and microscopy data and make it easier for biologists to access emerging methods for bioimage analysis that leverage machine learning. CZI sees promise in napari and seeks to assist its development by providing resources not always available to the open source community, including dedicated user research, design, and engineering support. CZI is proud to collaborate with the science community to accelerate research and enable open science for all.

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