Expipe
To facilitate data sharing, provenance and management of data and metadata we introduce Expipe, a semi-structured and lightweight data management platform designed for neuroscience research. Expipe implements a conceptually simple and familiar project structure and includes functionalities for data and metadata handling, retrieval, and exploration, which in turn can simplify the steps from experiments to analysis. Differently from existing solutions, the flexible and easy-to-use Expipe framework can provide an entry-level data management solution for both small and large experimental laboratories.
Installation
Expipe can be installed using pip:
pip install expipe
See the documentation for more information on how to use expipe.
Metadata
Release files for expipe 0.6.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| expipe-0.6.1.tar.gz | 29.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| expipe-0.6.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 62.0 kB
Release files / expipe-0.6.1.tar.gz
| Download URL | expipe-0.6.1.tar.gz |
|---|---|
| Size | 29.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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No |
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twine/6.2.0 CPython/3.10.19
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Release files / expipe-0.6.1-py3-none-any.whl
| Download URL | expipe-0.6.1-py3-none-any.whl |
|---|---|
| Size | 32.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.19
|