Quanp – Quantitative Analysis in Python
Quanp is a scalable toolkit for analyzing cross-sectional and longitudinal/time-series quantitative data. It was first inspired by scanpy and jointly built with anndata. It includes preprocessing, visualization, clustering, features selection/importance.
Read the documentation. If you’d like to contribute by opening an issue or creating a pull request, please take a look at our contributing guide. If Quanp is useful for your research, consider being a contributor.
Metadata
Release files for quanp 0.1.22
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| quanp-0.1.22.tar.gz | 99.7 MB | Details |
Release files / quanp-0.1.22.tar.gz
| Download URL | quanp-0.1.22.tar.gz |
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| Size | 99.7 MB |
| Tags | Source |
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twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0.post20200814 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.10
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