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-0.2.5.tar.gz (596.4 kB view details)

Uploaded Source

Built Distribution

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

ossify-0.2.5-py3-none-any.whl (618.4 kB view details)

Uploaded Python 3

File details

Details for the file ossify-0.2.5.tar.gz.

File metadata

  • Download URL: ossify-0.2.5.tar.gz
  • Upload date:
  • Size: 596.4 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-0.2.5.tar.gz
Algorithm Hash digest
SHA256 16796b92df949bc9792a9376f84654df6781ebff48cb7fbd0818990302143a0a
MD5 0eba5e04fa7dbd3dce904ea657a9692e
BLAKE2b-256 4f0dc4a081d3b3f086b67a6c61efc043e92e54395e40ffa3cf48df835ef84442

See more details on using hashes here.

File details

Details for the file ossify-0.2.5-py3-none-any.whl.

File metadata

  • Download URL: ossify-0.2.5-py3-none-any.whl
  • Upload date:
  • Size: 618.4 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-0.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 df4def70e59ae5947155988d5adb34339e0a319457026967f3ddc00be673252e
MD5 51325a89667f0f6000112ec7743f3b20
BLAKE2b-256 967c3b5a58674253fb639e865b76bb5860c8dad47da4ab5cfb214a91567758a7

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