Skip to main content

package to support neural and kinematic data analysis

Project description

Documentation Status Tests GitHub Stars GitHub Forks Downloads License: MIT

neurokin

neurokin aims to simplify the import and processing of neural and kinematic data. On top of basic preprocessing functions, it also provides more complex pipelines for multimodal data analysis. neurokin supports TDT and open_ephys formats natively for neural and .c3d files and DeepLabCut datasets for kinematics data but can be expanded easily. Please get in touch if you have another type of data.

To install use:

pip install neurokin

See the documentation for example analysis

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

neurokin-0.3.13.tar.gz (34.9 kB view details)

Uploaded Source

Built Distribution

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

neurokin-0.3.13-py3-none-any.whl (42.4 kB view details)

Uploaded Python 3

File details

Details for the file neurokin-0.3.13.tar.gz.

File metadata

  • Download URL: neurokin-0.3.13.tar.gz
  • Upload date:
  • Size: 34.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for neurokin-0.3.13.tar.gz
Algorithm Hash digest
SHA256 c91768eff73419127be04c1cd3b7c8ed68c72ec1f2a24578d09928bbdf402058
MD5 46049caddb49952fa06a84ff9f3ae204
BLAKE2b-256 0dcea81be2ca5440cc3ddfa75d219c552ab2fa0992e7c0de8151bb838274885a

See more details on using hashes here.

Provenance

The following attestation bundles were made for neurokin-0.3.13.tar.gz:

Publisher: publish-pypi-on-tag.yml on ELGarulli/neurokin

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

File details

Details for the file neurokin-0.3.13-py3-none-any.whl.

File metadata

  • Download URL: neurokin-0.3.13-py3-none-any.whl
  • Upload date:
  • Size: 42.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for neurokin-0.3.13-py3-none-any.whl
Algorithm Hash digest
SHA256 db7144c09e813201bf6b5c2a37cbaa10cdc148270535c36e900dfdbc45d89bdc
MD5 7d74c8631d7d9e2680ab85dbe439aa10
BLAKE2b-256 c83eced44f2a84a7528f8d5ba4415722281930b33defe5313a180b4b9223e5e8

See more details on using hashes here.

Provenance

The following attestation bundles were made for neurokin-0.3.13-py3-none-any.whl:

Publisher: publish-pypi-on-tag.yml on ELGarulli/neurokin

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