Skip to main content

Ossify

PyPI version Documentation

Ossify is a library to work with neuronal morphology, with a focus high resolution synaptic level reconstructions. Importantly, it aims to solve the challenge of working with objects that have multiple representations, such as meshes and skeletons, decorated with annotations like synapses and allows users to easily convert features and metadata between them. In addition, it provides tools to load, manipulate, visualize, and analyze neuron morphologies.

Ossify is built around the concept of a Cell, which is a container for multiple Layer objects that represent different aspects of the morphology. Surface meshes capture detailed geometry, skeletons provide a rooted tree structure, and point cloud annotations like synapses can decorate different parts of the morphology. It's aim is to be flexible, but with a focus on datasets like MICrONS or FlyWire that are hosted in CAVE.

These are very early days, but the code is already very usable and roughly feature-complete with previous tools like MeshParty. The main thing missing right now is feature generation. Documentation is largely produced by Claude Code, so your mileage may vary, and I'm slowly going through it.

Download files

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

Source Distribution

ossify-0.1.3.tar.gz (582.6 kB view details)

Uploaded Source

Built Distribution

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

ossify-0.1.3-py3-none-any.whl (602.8 kB view details)

Uploaded Python 3

File details

Details for the file ossify-0.1.3.tar.gz.

File metadata

  • Download URL: ossify-0.1.3.tar.gz
  • Upload date:
  • Size: 582.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.7 {"installer":{"name":"uv","version":"0.11.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for ossify-0.1.3.tar.gz
Algorithm Hash digest
SHA256 c4832ad4e5cfb5137ebd9e2056f1ae13a5f59ce2b4dfa648767cc3320dd6d03b
MD5 82b747ab0b94b6f923e8a69bc2f5ef12
BLAKE2b-256 8076708fa6c73d391787a24ea1e29b3d7bfa80fadb1cbaf1c40a861b395f1017

See more details on using hashes here.

File details

Details for the file ossify-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: ossify-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 602.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.7 {"installer":{"name":"uv","version":"0.11.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"macOS","version":null,"id":null,"libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

File hashes

Hashes for ossify-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 1d4d810fe47dfc68577bee9c729f36df0ba4347ff4fd489d3aff055ab1fd5bb1
MD5 fa20b25f62d64a394933d4f3c685d837
BLAKE2b-256 8d87b1f2fea3885f48962dcee787867c8dd35dec1980f63e3f0b73876adb54fa

See more details on using hashes here.

Supported by

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