sknw: skeleton analysis in Python. Inspired by Juan Nunez-Iglesias’s skan.
1 maintainer
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1 maintainer
Release files for sknw 0.15
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| sknw-0.15.tar.gz | 5.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sknw-0.15-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.3 kB
Release files / sknw-0.15.tar.gz
| Download URL | sknw-0.15.tar.gz |
|---|---|
| Size | 5.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9d482f6eb98d26a1836c92c63a94bea9f9f4b8073dcaa608b3824e54df0c522e
|
|
BLAKE2b-256 checksum How to use checksums |
49d13bb9b21801fc57cb5878f34953bb84808cc8cf449b291869bf8c14cd684c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.7.0 requests/2.31.0 setuptools/63.4.2 requests-toolbelt/0.9.1 tqdm/4.65.0 CPython/3.8.10
|
Release files / sknw-0.15-py3-none-any.whl
| Download URL | sknw-0.15-py3-none-any.whl |
|---|---|
| Size | 4.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
6a63c4df7a03793b82ce391223d5427fc71fc79e847a61ed9ffcb2a50569ecec
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|
BLAKE2b-256 checksum How to use checksums |
277d0d86fe9ef28cff6481245849cad826959b1d962f26b170f34add06fbbaaa
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.7.0 requests/2.31.0 setuptools/63.4.2 requests-toolbelt/0.9.1 tqdm/4.65.0 CPython/3.8.10
|
Security for sknw 0.15
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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