DataCite-based data model for Invenio.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for inveniosoftware from gravatar.com inveniosoftware

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: CERN
  • Tags invenio, data, model
Classifiers

Project description

https://github.com/inveniosoftware/invenio-rdm-records/workflows/CI/badge.svg https://img.shields.io/github/tag/inveniosoftware/invenio-rdm-records.svg https://img.shields.io/pypi/dm/invenio-rdm-records.svg https://img.shields.io/github/license/inveniosoftware/invenio-rdm-records.svg

DataCite-based data model for Invenio.

Further documentation is available on https://invenio-rdm-records.readthedocs.io/

Development

Install

Choose a version of elasticsearch and a DB, then run:

pipenv run pip install -e .[all]
pipenv run pip install invenio-search[<elasticsearch[5|6|7]>]
pipenv run pip install invenio-db[<[mysql|postgresql|]>,versioning]

Tests

pipenv run ./run-tests.sh

Changes

Version 1.0.0 (released TBD)

  • Initial public release.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for inveniosoftware from gravatar.com inveniosoftware

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: CERN
  • Tags invenio, data, model
Classifiers

Release history Release notifications | RSS feed

16.0.1

16.0.0

15.7.2

15.7.1

15.7.0

15.6.0

15.5.0

15.4.0

15.3.0

15.2.0

15.1.0

15.0.0

14.0.0

13.0.0

12.2.2

12.2.1

12.1.1

12.1.0

12.0.4

12.0.3

12.0.2

12.0.1

12.0.0

11.8.0

11.7.0

11.6.0

11.5.0

11.4.0

11.3.1

11.3.0

11.2.0

11.1.0

11.0.0

10.9.1

10.9.0

10.8.7

10.8.6

10.8.5

10.8.4

10.8.3

10.8.2

10.8.1

10.8.0

10.7.1

10.7.0

10.6.0

10.5.0

10.4.3

10.4.2

10.4.1

10.4.0

10.3.2

10.3.1

10.3.0

10.2.0

10.1.2

10.1.1

10.1.0

10.0.0

9.1.0

9.0.1

9.0.0

8.3.0

8.2.0

8.1.1

8.1.0

8.0.0

7.1.1

7.1.0

7.0.0

6.2.1

6.2.0

6.1.1

6.1.0

6.0.0

5.1.2

5.1.1

5.1.0

5.0.0

4.43.2

4.43.1

4.43.0

4.42.0

4.41.0

4.40.0

4.39.3

4.39.2

4.39.1

4.39.0

4.38.3

4.38.2

4.38.1

4.38.0

4.37.4

4.37.3

4.37.2

4.37.1

4.37.0

4.36.10

4.36.9

4.36.8

4.36.7

4.36.6

4.36.5

4.36.4

4.36.3

4.36.2

4.36.1

4.36.0

4.35.0

4.34.0

4.33.2

4.33.1

4.33.0

4.32.0

4.31.1

4.31.0

4.30.0

4.29.0

4.28.2

4.28.1

4.28.0

4.27.0

4.26.0

4.25.0

4.24.0

4.23.2

4.23.1

4.23.0

4.22.0

4.21.0

4.20.1

4.20.0

4.19.0

4.18.0

4.17.0

4.16.1

4.16.0

4.15.1

4.15.0

4.14.0

4.13.1

4.13.0

4.12.2

4.12.1

4.12.0

4.11.0

4.10.0

4.9.1

4.9.0

4.8.0

4.7.0

4.6.0

4.5.0

4.4.1

4.4.0

4.3.0

4.2.5

4.2.4

4.2.3

4.2.2

4.2.1

4.2.0

4.1.0

4.0.0

3.2.0

3.1.0

3.0.0

2.13.0

2.12.0

2.11.0

2.10.0

2.9.0

2.8.0

2.7.0

2.6.0

2.5.0

2.4.0

2.3.0

2.2.0

2.1.0

2.0.0

1.3.6

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

1.2.1

1.2.0

1.1.0

1.0.3

1.0.2

1.0.1

1.0.0

1.0.0a8 pre-release

1.0.0a7 pre-release

1.0.0a6 pre-release

1.0.0a5 pre-release

1.0.0a4 pre-release

1.0.0a3 pre-release

1.0.0a2 pre-release

1.0.0a1 pre-release

0.39.2

0.39.1

0.39.0

0.38.3 yanked

Reason this release was yanked:

Wrong release version

0.38.2

0.38.1

0.38.0

0.37.1

0.37.0

0.36.5

0.36.4

0.36.3

0.36.2

0.36.1

0.36.0

0.35.23

0.35.22

0.35.21

0.35.20

0.35.19

0.35.18

0.35.17

0.35.16

0.35.15

0.35.14

0.35.13

0.35.12

0.35.11

0.35.10

0.35.9

0.35.8

0.35.7

0.35.6

0.35.5

0.35.4

0.35.3

0.35.2

0.35.1

0.35.0

0.34.7

0.34.6

0.34.5

0.34.4

0.34.3

0.34.2

0.34.1

0.34.0

0.33.13

0.33.12

0.33.11

0.33.10

0.33.9

0.33.8

0.33.7

0.33.6

0.33.5

0.33.4

0.33.3

0.33.2

0.33.1

0.33.0

0.32.6

0.32.5

0.32.4

0.32.3

0.32.2

0.32.1

0.32.0

0.31.18

0.31.17

0.31.16

0.31.15

0.31.14

0.31.13

0.31.12

0.31.11

0.31.10

0.31.9

0.31.8

0.31.7

0.31.6

0.31.5

0.31.4

0.31.3

0.31.2

0.31.1

0.31.0

0.30.9

0.30.8

0.30.7

0.30.6

0.30.5

0.30.4

0.30.3

0.30.2

0.30.1

0.30.0

0.29.17

0.29.16

0.29.15

0.29.14

0.29.13

0.29.12

0.29.11

0.29.10

0.29.9

0.29.8

0.29.7

0.29.6

0.29.4

0.29.3

0.29.2

This version

0.29.1

0.29.0

0.28.12

0.28.11

0.28.10

0.28.9

0.28.8

0.28.7

0.28.6

0.28.5

0.28.4

0.28.3

0.28.2

0.28.1

0.28.0

0.27.15

0.27.14

0.27.13

0.27.12

0.27.11

0.27.10

0.27.9

0.27.8

0.27.7

0.27.6

0.27.5

0.27.4

0.27.3

0.27.2

0.27.1

0.27.0

0.26.6

0.26.5

0.26.4

0.26.3

0.26.2

0.26.1

0.26.0

0.25.9

0.25.8

0.25.7

0.25.6

0.25.5

0.25.4

0.25.3

0.25.2

0.25.1

0.25.0

0.24.6

0.24.5

0.24.4

0.24.3

0.24.2

0.24.1

0.23.10

0.23.9

0.23.8

0.23.7

0.23.6

0.23.5

0.23.4

0.23.3

0.23.2

0.23.1

0.23.0

0.22.1

0.22.0

0.21.0

0.20.8

0.20.7

0.20.6

0.20.4

0.20.3

0.20.2

0.20.1

0.20.0

0.19.1

0.19.0

0.18.3

0.18.2

0.18.1

0.18.0

0.17.1

0.17.0

0.16.0

0.15.0

0.14.1

0.14.0

0.13.4

0.13.3

0.13.2

0.13.1

0.13.0

0.12.0

0.11.1

0.11.0

0.10.1

0.10.0

0.9.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

invenio-rdm-records-0.29.1.tar.gz (187.3 kB view details)

Uploaded Source

Built Distribution

invenio_rdm_records-0.29.1-py2.py3-none-any.whl (199.4 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file invenio-rdm-records-0.29.1.tar.gz.

File metadata

  • Download URL: invenio-rdm-records-0.29.1.tar.gz
  • Upload date:
  • Size: 187.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8

File hashes

Hashes for invenio-rdm-records-0.29.1.tar.gz
Algorithm Hash digest
SHA256 341e9759e09060deb2bfca256b87f37392fb5dcd7ff844143a7bd738f7919769
MD5 8d6542b6cf6a0e9b175d3fbd5926ae25
BLAKE2b-256 1b0ec06494316126017d1e25fa1deae6d825fc4b4bec8122343077190783d89d

See more details on using hashes here.

Provenance

File details

Details for the file invenio_rdm_records-0.29.1-py2.py3-none-any.whl.

File metadata

  • Download URL: invenio_rdm_records-0.29.1-py2.py3-none-any.whl
  • Upload date:
  • Size: 199.4 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.8.8

File hashes

Hashes for invenio_rdm_records-0.29.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 ec46656bf4aeb7cfca0c42831fb477bbd9a4863a081492762ad5d82ae2d68f09
MD5 825bec632e4de3f0c18b4cee08bfac34
BLAKE2b-256 715e78a1e3422a5ac79753137f0b4518c415253e17be50284ccceed922110ab9

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page