LOGS-Py
LOGS is a scientific data management system (SDMS) software allowing for automated data collection, visualization, and organization. Within its internal organizational concepts it allows you to enrich you experimental data with metadata. LOGS allows you to adapt many of its organization structures which enables your data management to follow your internal workflows.
LOGS-Py is a Python package interacting with the LOGS web API to enable you to extract and push data to LOGS and generally operateinteract with the LOGS backend in a programatic way. The main motivation behind in the desing of library is to keep this interaction as pythonic as possible. The communication with the API remains mainly in the background while the user of the library handles native Python objects whereby theuser is still able to interact with nearly are LOGS functionalities and entities.
Thus this library firstly targets lab and data scientist allowing them to freely interact with experimental data and its meta-data without any pre-knowledge of Web technologies and communication. Secondly, it facilitates power-users to implement highly specific workflows automations and 3rd-party software intergrations with LOGS and other lab software.
Installation
The LOGS-Py package can be easily installed by using pip.
For this open the terminal and do:
pip install logs-py
1 maintainer
Metadata
1 maintainer
Release files for logs-py 4.0.38
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| logs_py-4.0.38-py3-none-any.whl | Python 3 | none | any | Details |
Release files / logs_py-4.0.38-py3-none-any.whl
| Download URL | logs_py-4.0.38-py3-none-any.whl |
|---|---|
| Size | 217.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
571ae9a63565574e82fcb7634bc862c08689c57d63ccd18de6f8a618c445a534
|
|
BLAKE2b-256 checksum How to use checksums |
7dfa9ab7074212a4637e6212ca92869d7e8fd994ab131daea2e95a0fd07bb356
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|
