DataCite
About
Python API wrapper for the DataCite REST and Metadata Store APIs as well as DataCite JSON and XML generation.
Installation
The datacite package is on PyPI so all you need is:
pip install datacite
Documentation
Documentation is readable at http://datacite.readthedocs.io/ or can be built using Sphinx:
pip install datacite[docs] python setup.py build_sphinx
Testing
Running the test suite is as simple as:
pip install -e .[all] ./run-tests.sh
If you’re using zsh, use this pip command instead:
pip install -e .’[all]’
Some tests require a DataCite Test Account. Set the following environment variables $DATACITE_USER, $DATACITE_PW, $DATACITE_PREFIX with your account information for doi.test.datacite.org and run:
./run-tests-pw.sh
4 maintainers
Metadata
4 maintainers
Release files for datacite 1.4.1
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 | Actions |
|---|---|---|---|---|
| datacite-1.4.1.tar.gz | 21.6 kB | Without provenance | Details for datacite-1.4.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| datacite-1.4.1-py3-none-any.whl | Python 3 | none | any | Details for datacite-1.4.1-py3-none-any.whl |
Total release size: 64.7 kB
Release files / datacite-1.4.1.tar.gz
| Download URL | datacite-1.4.1.tar.gz |
|---|---|
| Size | 21.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
|
Release files / datacite-1.4.1-py3-none-any.whl
| Download URL | datacite-1.4.1-py3-none-any.whl |
|---|---|
| Size | 43.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
782ca32fe423c66bc74d7b4ee39cb22190c128e1e61a188becda12fd6f91d23b
|
|
BLAKE2b-256 checksum How to use checksums |
f3f8f1d7e837d9937ae762564dc7c0e865c13f1dfcbd8b53f4269755f3747daa
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.13
|
Security for datacite 1.4.1
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.
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To learn more about protecting yourself from malicious actors, visit our package security documentation.
