Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

napari-copick

License MIT PyPI Python Version tests codecov napari hub

A plugin for collaborative annotation in cryoET using copick

interface.png


This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.

Installation

You can install napari-copick via pip:

pip install napari-copick

Copick 2 / OME-Zarr 0.5 prereleases use the alpha channel:

pip install --pre napari-copick

To install latest development version:

pip install git+https://github.com/copick/napari-copick.git@v2.0

Usage

Using a copick config file

napari-copick run --config path/to/copick_config.json

Using dataset IDs from CZ cryoET Data Portal

napari-copick run --dataset-ids 10440 10441 --overlay-root /path/to/overlay_root

You can specify multiple dataset IDs separated by spaces.

GUI Usage

The plugin provides an intuitive interface with two loading options:

  1. Load Config File: Opens a file dialog to select a copick configuration JSON file
  2. Load from Dataset IDs: Opens a dialog to enter CZ cryoET Data Portal dataset IDs and overlay root path

After loading, you'll see a hierarchical tree of the project structure that you can navigate to access tomograms, segmentations, and picks.

Tomogram Handling

napari-copick handles multiscale OME-Zarr arrays directly:

  • Selects resolution levels from OME multiscale metadata, including non-numeric dataset paths
  • Reads both legacy OME-Zarr 0.4 / Zarr v2 and OME-Zarr 0.5 / Zarr v3 stores
  • Loads the selected resolution level into memory before adding it to napari
  • Applies the selected dataset's OME coordinate transformation as the layer scale

This direct zarr handling provides better performance and more flexibility compared to relying on external plugins.

Volume reads use the Zarr store supplied by copick and require OME multiscales metadata. Stores written by copick 1.x (OME-Zarr 0.4 / Zarr v2) and copick 2.x (OME-Zarr 0.5 / Zarr v3) are supported. Third-party stores that expose only a root data array without OME multiscales metadata are intentionally unsupported; napari-copick does not infer a dataset path from array names or root-key order. Storage backend access and retry behavior remain owned by copick.

Contributing

Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.

License

Distributed under the terms of the MIT license, "napari-copick" is free and open source software

Issues

If you encounter any problems, please file an issue along with a detailed description.

Code of Conduct

This project adheres to the Contributor Covenant code of conduct. By participating, you are expected to uphold this code. Please report unacceptable behavior to opensource@chanzuckerberg.com.

Reporting Security Issues

If you believe you have found a security issue, please responsibly disclose by contacting us at security@chanzuckerberg.com.

Metadata

Release files for napari-copick 2.0.0a2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for napari-copick 2.0.0a2
File Size Uploaded
napari_copick-2.0.0a2.tar.gz 1.1 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for napari-copick 2.0.0a2
File Interpreter ABI Platform
napari_copick-2.0.0a2-py3-none-any.whl Python 3 none any Details

Total release size: 1.2 MB

Release files / napari_copick-2.0.0a2.tar.gz

Download URL napari_copick-2.0.0a2.tar.gz
Size 1.1 MB
Tags Source
SHA-256 checksum
How to use checksums
41b848f41922ca9b1e022c419d2fd8878fb543af989f9bac2e88a0e9735c8602
BLAKE2b-256 checksum
How to use checksums
b18164fb6c96179ab910ad12e26062de21c4e6ff2239e5a652fccd1026a79c18
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 8, 2026.

Transparency log

Release files / napari_copick-2.0.0a2-py3-none-any.whl

Download URL napari_copick-2.0.0a2-py3-none-any.whl
Size 84.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
04d8fd5b26d61c390dfa108edcde9fdaf06bfc2b8b0846b5583cd56d3f5c389b
BLAKE2b-256 checksum
How to use checksums
360c8a09d9b61a02764b84b3d62d345095a537e0ea48595a6002d7cf761c2857
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 8, 2026.

Transparency log
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page