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-0.1.2.tar.gz (79.4 MB view details)

Uploaded Source

Built Distribution

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

ossify-0.1.2-py3-none-any.whl (602.3 kB view details)

Uploaded Python 3

File details

Details for the file ossify-0.1.2.tar.gz.

File metadata

  • Download URL: ossify-0.1.2.tar.gz
  • Upload date:
  • Size: 79.4 MB
  • 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-0.1.2.tar.gz
Algorithm Hash digest
SHA256 46052ef3816f8d57ddb5450da6e07917bf43cc2e753069ec85802ccbfc6d189c
MD5 e4c0441fe3bf53a7f0ae0d42411df2eb
BLAKE2b-256 ff4c807bd20283ad9751c1face12d24b6fd1ce53895934d508fec7a3f97bf4a4

See more details on using hashes here.

File details

Details for the file ossify-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: ossify-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 602.3 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-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 5235284c389fd6d0c11220a7398c8dca133d758f8c1007155c77741dfa480cfb
MD5 7d232b1458e65d9a91b6ffbf05e308ae
BLAKE2b-256 eb6ad8258487b9969e29bfe0c578bbeaf856447313cc74171ce580dc6c21fc8b

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