Skip to main content

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

Metadata

Release files for neurokin 0.3.16

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for neurokin 0.3.16
File Size Uploaded
neurokin-0.3.16.tar.gz 35.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for neurokin 0.3.16
File Interpreter ABI Platform
neurokin-0.3.16-py3-none-any.whl Python 3 none any Details

Total release size: 77.4 kB

Release files / neurokin-0.3.16.tar.gz

Download URL neurokin-0.3.16.tar.gz
Size 35.0 kB
Tags Source
SHA-256 checksum
How to use checksums
213712222d56f1611a2d8e729e423833326144f048ba67f924e508dce3b39352
BLAKE2b-256 checksum
How to use checksums
df3a72bb6b58b611df0d9e149207e46d722c723983c3f2c45d12f9839ddb0e42
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Mar 9, 2026.

Transparency log

Release files / neurokin-0.3.16-py3-none-any.whl

Download URL neurokin-0.3.16-py3-none-any.whl
Size 42.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
b64ef1b65591354bf8addf828760df04c92593fe38e05b91891444a986a68690
BLAKE2b-256 checksum
How to use checksums
b1011d4a0bc1ee185204782602a2a46665d201ecfe1df39bb1a043da9adff575
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Mar 9, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

0.3.16 This release

2 release files

0.3.15

2 release files

0.3.14

2 release files

0.3.13

2 release files

0.3.12

2 release files

0.3.11

2 release files

0.3.10

2 release files

0.3.8

2 release files

0.3.7

2 release files

0.3.5

2 release files

0.3.4

2 release files

0.3.3

2 release files

0.3.2

2 release files

0.2.0

2 release files

0.1.0

2 release files

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page