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-0.3.4.tar.gz (35.7 kB view details)

Uploaded Source

Built Distribution

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

neurokin-0.3.4-py3-none-any.whl (43.5 kB view details)

Uploaded Python 3

File details

Details for the file neurokin-0.3.4.tar.gz.

File metadata

  • Download URL: neurokin-0.3.4.tar.gz
  • Upload date:
  • Size: 35.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for neurokin-0.3.4.tar.gz
Algorithm Hash digest
SHA256 92ac3439d2db354add90cad68e4dca4987819a90f02af4837ee7ad9fea1edaf8
MD5 76ad68435bea855f5ef1312e3659534a
BLAKE2b-256 c796d488694654150f3cd2949f4330b4a088eda9c7a8a08a0167926a73b5cbd4

See more details on using hashes here.

Provenance

The following attestation bundles were made for neurokin-0.3.4.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-0.3.4-py3-none-any.whl.

File metadata

  • Download URL: neurokin-0.3.4-py3-none-any.whl
  • Upload date:
  • Size: 43.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for neurokin-0.3.4-py3-none-any.whl
Algorithm Hash digest
SHA256 6776954dd7e47d8d39dc654d41a10e5955da300d95c61ca9613b0662e3092710
MD5 fd0cd76e8bf26bfcb71ae8bc59705b8a
BLAKE2b-256 1cb8ce0f9b28d42d54e7d88c12d7234ea9e5dba879d266f6cfef85b9867b5734

See more details on using hashes here.

Provenance

The following attestation bundles were made for neurokin-0.3.4-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