Metadata
Release files for datafox 0.0.3
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 | |
|---|---|---|---|---|
| datafox-0.0.3.tar.gz | 3.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datafox-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.2 kB
Release files / datafox-0.0.3.tar.gz
| Download URL | datafox-0.0.3.tar.gz |
|---|---|
| Size | 3.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1094f5cf63f45c356dbfe44a580c1523b9f54cf4f5283937d3d75e4680cc3931
|
|
BLAKE2b-256 checksum How to use checksums |
4ddd5c6a438d79cdf0335032d6fcd5526482b5e5e7a875f85590039284725404
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.13
|
Release files / datafox-0.0.3-py3-none-any.whl
| Download URL | datafox-0.0.3-py3-none-any.whl |
|---|---|
| Size | 4.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
beb709f909064ef5abde5bfb0fdab3c7b4273741a36070e3ab8b5e9a9cb2c23a
|
|
BLAKE2b-256 checksum How to use checksums |
6a3e0923192160c4bab0602ced2a99a5c3b5612ac45539a1832567d5cdbfbfb2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.13
|
Security for datafox 0.0.3
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.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.