fair-software.nl recommendations |
Badges |
|---|---|
1. Code repository |
|
2. License |
|
3. Community Registry |
|
4. Enable Citation |
|
Other best practices |
|
Continuous integration |
|
Documentation |
|
Anaconda package |
fairly
A package to create, publish and clone research datasets.
Installation
fairly requires Python 3.8 or later, and ruamel.yaml version 0.17.26 or later. It can be installed directly from PYPI or Conda-Forge.
# Using pip
pip install fairly
# using anaconda or miniconda
conda install conda-forge::fairly
Installing from source
Clone or download the source code:
git clone https://github.com/ITC-CRIB/fairly.gitGo to the root directory:
cd fairly/Compile and install using pip:
pip install .
Usage
Python API
Basic example to create a local research dataset and deposit it to a repository using the Python API:
import fairly
# Initialize a local dataset
dataset = fairly.init_dataset('/path/dataset')
# Set metadata
dataset.metadata['license'] = 'MIT'
dataset.set_metadata(
title='My dataset',
keywords=['FAIR', 'research', 'data'],
authors=[
'0000-0002-0156-185X',
{'name': 'John', 'surname': 'Doe'}
]
)
# Add data files
dataset.includes.extend([
'README.txt',
'*.csv',
'train/*.jpg'
])
# Save dataset
dataset.save()
# Upload to a data repository
remote_dataset = dataset.upload('zenodo')
Basic example to access a remote dataset and store it locally:
import fairly
# Open a remote dataset
dataset = fairly.dataset('doi:10.4121/21588096.v1')
# Get dataset information
dataset.id
>>> {'id': '21588096', 'version': '1'}
dataset.url
>>> 'https://data.4tu.nl/articles/dataset/.../21588096/1'
dataset.size
>>> 33339
len(dataset.files)
>>> 6
dataset.metadata
>>> Metadata({'keywords': ['Earthquakes', 'precursor', ...], ...})
# Update metadata
dataset.metadata['keywords'] = ['Landslides', 'precursor']
dataset.save_metadata()
# Store dataset to a local directory (i.e. clone dataset)
local_dataset = dataset.store('/path/dataset')
Command Line
fairly --help
You should see the following:
Usage: fairly [OPTIONS] [COMMAND] [ARGS]... fairly command-line tool. Options: -v, --version Show the version and exit. -h, --help Show this message and exit. Commands: client Client commands. dataset Dataset commands. repository Repository commands.
Currently, the package supports the following research data management platforms:
All research data repositories based on the listed platforms are supported.
For more details and examples, consult the package documentation.
Testing
Unit tests can be run by using pytest command in the root directory.
Contributions
Read the guidelines to know how you can be part of this open source project.
JupyterLab Extension
An extension for JupyerLab is being developed in a different repository.
Citation
Please cite this software using as follows:
Girgin, S., Garcia Alvarez, M., & Urra Llanusa, J., Fairly: a package to create, publish and clone research datasets (Version 2.0.0) [Computer software]
Acknowledgements
This research is funded by the Dutch Research Council (NWO) Open Science Fund, File No. 203.001.114.
Project members:
Release files for fairly 2.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fairly-2.0.0.tar.gz | 1.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fairly-2.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.8 MB
Release files / fairly-2.0.0.tar.gz
| Download URL | fairly-2.0.0.tar.gz |
|---|---|
| Size | 1.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0292751299ea1038bfafa524873cab4a8b3dc712829e4e09c5047abec846d535
|
|
BLAKE2b-256 checksum How to use checksums |
577960184bcdaa791879550adba5f658bc52c09d23daf327208ece868beac8d1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 20, 2026.
Transparency logRelease files / fairly-2.0.0-py3-none-any.whl
| Download URL | fairly-2.0.0-py3-none-any.whl |
|---|---|
| Size | 257.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
7f26b6654ab18394c94796e8024bced22f6a943a9a2c7cb7d4874312e873c749
|
|
BLAKE2b-256 checksum How to use checksums |
1fea1999306e4eceb3b586f287f8e89923ad0c8963e7f4f02be82dc9bdc429de
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 20, 2026.
Transparency log