jumpyng
Helper utilities for processing DeepLabCut jumping experiments, generating QC reports, and computing jump metrics.
Installation
pip install jumpyng
Usage
jumpyng.algorithm: bulk data loading, jump detection, and metric calculation helpers.jumpyng.visualization: PDF report generation for quick visual checks.jumpyng.utils: Helper functions used to speed up analysis and contains common functions.jumpyng.validation: Validation tools used for Data Quality QA/QC checks.jumpyng.dlchelper: wrappers for running DeepLabCut and pre-processing data (install withpip install jumpyng[dlc]to use these helpers).
The package is still evolving; APIs may change between minor versions.
Metadata
Release files for jumpyng 0.1.9
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| jumpyng-0.1.9.tar.gz | 42.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jumpyng-0.1.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 80.6 kB
Release files / jumpyng-0.1.9.tar.gz
| Download URL | jumpyng-0.1.9.tar.gz |
|---|---|
| Size | 42.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / jumpyng-0.1.9-py3-none-any.whl
| Download URL | jumpyng-0.1.9-py3-none-any.whl |
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| Size | 37.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
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Provenance
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