DataJoint Element - Lab
DataJoint Element for lab metadata. DataJoint Elements collectively standardize and automate data collection and analysis for neuroscience experiments. Each Element is a modular pipeline for data storage and processing with corresponding database tables that can be combined with other Elements to assemble a fully functional pipeline.
Installation and usage instructions can be found at the Element documentation.
1 maintainer
Release files for element-lab 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| element-lab-0.3.0.tar.gz | 6.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| element_lab-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.8 kB
Release files / element-lab-0.3.0.tar.gz
| Download URL | element-lab-0.3.0.tar.gz |
|---|---|
| Size | 6.8 kB |
| Tags | Source |
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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/4.0.2 CPython/3.9.16
|
Release files / element_lab-0.3.0-py3-none-any.whl
| Download URL | element_lab-0.3.0-py3-none-any.whl |
|---|---|
| Size | 7.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1e96cea378df86b37727d7cdcb11cd1b31e2b498ab2a9d268470692e6ba0c55f
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.16
|
