Skip to main content

A lightweight neuromorphological mesh skeletonizer.

Project description

skeliner

A lightweight skeletonizer that converts neuron meshes into biophysical‑modelling‑ready SWC morphologies. It heuristically detects the soma, extracts an acyclic center‑line skeleton, estimates per‑node radii, and bridges small gaps.

Installation

pip install skeliner

or

git clone https://github.com/berenslab/skeliner.git
pip install -e "skeliner[dev]"

Usage

See example notebooks for usage.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

skeliner-0.1.10.tar.gz (5.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

skeliner-0.1.10-py3-none-any.whl (63.0 kB view details)

Uploaded Python 3

File details

Details for the file skeliner-0.1.10.tar.gz.

File metadata

  • Download URL: skeliner-0.1.10.tar.gz
  • Upload date:
  • Size: 5.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for skeliner-0.1.10.tar.gz
Algorithm Hash digest
SHA256 2bd46e050a1c85eb253876654db768c958b89b21bf4ba0863d14dc204020df27
MD5 a394047ea12c812c514720d51b154e70
BLAKE2b-256 3f3e4696b86ea78cc130e7b7705e0956f53ca3b26e9c020bbaef3cbccff92856

See more details on using hashes here.

Provenance

The following attestation bundles were made for skeliner-0.1.10.tar.gz:

Publisher: python-publish.yml on berenslab/skeliner

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file skeliner-0.1.10-py3-none-any.whl.

File metadata

  • Download URL: skeliner-0.1.10-py3-none-any.whl
  • Upload date:
  • Size: 63.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for skeliner-0.1.10-py3-none-any.whl
Algorithm Hash digest
SHA256 4da417605ef0c28b583a7457943f4edb245d7cf539de3d2fb7ba86680c4976df
MD5 03f85bbd5f80494b810d78a0732701fe
BLAKE2b-256 63eab493d20cf1bad1bfe232e600ce102b3e99f0ea3f125ac0da17880563b951

See more details on using hashes here.

Provenance

The following attestation bundles were made for skeliner-0.1.10-py3-none-any.whl:

Publisher: python-publish.yml on berenslab/skeliner

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page