Dapla Toolbelt Metadata
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Project description
Dapla Toolbelt Metadata
Tools and clients for working with the Dapla Metadata system.
Features
- Create and update metadata for datasets (Datadoc).
Coming
- Read, create and update variable definitions.
- Publish dataset metadata to Statistics Norway's data catalogue.
Installation
You can install Dapla Toolbelt Metadata via pip from PyPI:
pip install dapla-toolbelt-metadata
Usage
Instructions and examples may be found in the Dapla Manual. Please see the Reference Guide for API documentation.
Contributing
Contributions are very welcome. To learn more, see the Contributor Guide.
License
Distributed under the terms of the MIT license, Dapla Toolbelt Metadata is free and open source software.
Issues
If you encounter any problems, please file an issue along with a detailed description.
Credits
This project was generated from Statistics Norway's SSB PyPI Template.
Project details
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file dapla_toolbelt_metadata-0.2.4.tar.gz.
File metadata
- Download URL: dapla_toolbelt_metadata-0.2.4.tar.gz
- Upload date:
- Size: 33.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 97121403055291d68e4c97bf4c2056a7ca52083315b77037bb21f6663dab7ade |
|
| MD5 | 174e4fa2a542ff5951176f8cbecc6d2e |
|
| BLAKE2b-256 | 286852d1a2c02e4b565d712e95965b36b67d6bdcee4d69b8d4793e68fe936e1c |
File details
Details for the file dapla_toolbelt_metadata-0.2.4-py3-none-any.whl.
File metadata
- Download URL: dapla_toolbelt_metadata-0.2.4-py3-none-any.whl
- Upload date:
- Size: 37.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 201dc0721c30af702868d2ee2fa63ec731f7be550bfc8929c51d0f59d5ca913a |
|
| MD5 | c4c4f6a25ed1974fd10442e7be8df6ed |
|
| BLAKE2b-256 | 97874dd9402466578ce080e139224118a2eddea44dc238551bd875a59f5b1e7f |
