DataLad Gooey (pronounce "GUI")
This package provides a graphical user interface (GUI) for DataLad. It is specifically aiming at making key data management tasks more accessible and more convenient, without requiring to become familiar with the command line.
This simplified interface to DataLad is built on a foundation that is capable of providing graphical user interfaces for any DataLad command, including those provided by extension packages. Moreover, extension packages can even provide their own GUI suites, by mixing and tuning a custom set of commands and parameters.
To try it out, install this package, and run datalad gooey.
Acknowledgements
DataLad development is supported by a US-German collaboration in computational neuroscience (CRCNS) project "DataGit: converging catalogues, warehouses, and deployment logistics into a federated 'data distribution'" (Halchenko/Hanke), co-funded by the US National Science Foundation (NSF 1429999) and the German Federal Ministry of Education and Research (BMBF 01GQ1411).
This DataLad extension was developed with additional funding from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under grant SFB 1451
Contributors ✨
Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!
Metadata
Release files for datalad-gooey 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| datalad_gooey-0.2.0.tar.gz | 1.4 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datalad_gooey-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.5 MB
Release files / datalad_gooey-0.2.0.tar.gz
| Download URL | datalad_gooey-0.2.0.tar.gz |
|---|---|
| Size | 1.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
1253880dd3228c51c9d3db62508de29e79f5c2a7a4f6091e7507bd4f84289ab7
|
|
BLAKE2b-256 checksum How to use checksums |
c4bb3eb0b28b3b9ab795391c9adf20fedc74863d96ef2e3f288beaca13dca6d2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.7
|
Release files / datalad_gooey-0.2.0-py3-none-any.whl
| Download URL | datalad_gooey-0.2.0-py3-none-any.whl |
|---|---|
| Size | 128.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
99c0c832da5ecc9c8c56a395b56da99f53c4d74f24a2763f6d342f0b07e35e0c
|
|
BLAKE2b-256 checksum How to use checksums |
cd374c1530ee6d407b9da31bd884a09e573c297a02ea8f3cd34ee46817bc8f71
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.7
|
Security for datalad-gooey 0.2.0
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.
To learn more about protecting yourself from malicious actors, visit our package security documentation.