labbench

v0.42.0

The `labbench` module provides API tools to support python scripting for laboratory automation.The goal is to simplify the process of developing an experimental procedure into clear, concise, explainable, and reusable code. For more information about how to use this package see README

Latest version published 2 months ago

License: # License This software was …

PyPI

GitHub

Package Health Score

63 / 100

security
No known security issues
popularity
Limited
maintenance
Sustainable
community
Limited

Popularity

Limited

GitHub Stars: 18
Forks: 8
Contributors: 2

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package labbench, we found that it has been starred 18 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Oct 25, 2024
Direct Vulnerabilities: 0
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Indirect Vulnerabilities: 0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

# License This software was developed by employees of the National Institute of Standards and Technology (NIST), an agency of the Federal Government. Pursuant to title 17 United States Code Section 105, works of NIST employees are not subject to copyright protection in the United States and are considered to be in the public domain. Permission to freely use, copy, modify, and distribute this software and its documentation without fee is hereby granted, provided that this notice and disclaimer of warranty appears in all copies. THE SOFTWARE IS PROVIDED 'AS IS' WITHOUT ANY WARRANTY OF ANY KIND, EITHER EXPRESSED, IMPLIED, OR STATUTORY, INCLUDING, BUT NOT LIMITED TO, ANY WARRANTY THAT THE SOFTWARE WILL CONFORM TO SPECIFICATIONS, ANY IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND FREEDOM FROM INFRINGEMENT, AND ANY WARRANTY THAT THE DOCUMENTATION WILL CONFORM TO THE SOFTWARE, OR ANY WARRANTY THAT THE SOFTWARE WILL BE ERROR FREE. IN NO EVENT SHALL NIST BE LIABLE FOR ANY DAMAGES, INCLUDING, BUT NOT LIMITED TO, DIRECT, INDIRECT, SPECIAL OR CONSEQUENTIAL DAMAGES, ARISING OUT OF, RESULTING FROM, OR IN ANY WAY CONNECTED WITH THIS SOFTWARE, WHETHER OR NOT BASED UPON WARRANTY, CONTRACT, TORT, OR OTHERWISE, WHETHER OR NOT INJURY WAS SUSTAINED BY PERSONS OR PROPERTY OR OTHERWISE, AND WHETHER OR NOT LOSS WAS SUSTAINED FROM, OR AROSE OUT OF THE RESULTS OF, OR USE OF, THE SOFTWARE OR SERVICES PROVIDED HEREUNDER. Distributions of NIST software should also include copyright and licensing statements of any third-party software that are legally bundled with the code in compliance with the conditions of those licenses. ## Dependency licenses Recently available license information for functional dependencies of this source code is summarized below. These dependencies are not redistributed here and must be installed separately. |Package|License| |-------|-------| |coloredlogs 7.x|[MIT](https://github.com/xolox/python-coloredlogs/blob/master/LICENSE.txt)| |ipywidgets 7.0|[BSD](https://github.com/jupyter-widgets/ipywidgets/blob/master/LICENSE)| |notebook 5.x|[BSD](https://github.com/jupyter/jupyter/blob/master/LICENSE)| |numpy 1.10.x|[BSD](https://docs.scipy.org/doc/numpy-1.10.0/license.html)| |pandas 0.21|[BSD](https://pandas.pydata.org/pandas-docs/stable/overview.html#license)| |pyserial 3.x|[BSD](https://pythonhosted.org/pyserial/appendix.html#license)| |python 3.x (and standard libraries)|[PSF/BeOpen.org](https://docs.python.org/3/license.html)| |pyvisa 1.8|[MIT](https://github.com/pyvisa/pyvisa/blob/master/LICENSE)| |pythonnet|[MIT](https://github.com/pythonnet/pythonnet/blob/master/LICENSE)| |sphinx 1.6.x|[BSD,MIT,PSF/Beopen.org](https://github.com/sphinx-doc/sphinx/blob/master/LICENSE)|

Security Policy

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Maintenance

Sustainable

Commit Frequency

Open Issues: 8
Open PR: 0
Last Release: 2 months ago
Last Commit: 2 months ago

Further analysis of the maintenance status of labbench based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Sustainable.

We found that labbench demonstrates a positive version release cadence with at least one new version released in the past 3 months.

In the past month we didn't find any pull request activity or change in issues status has been detected for the GitHub repository.

Community

Limited

Readme: Yes
Contributing.md: No
Code of Conduct: No
Contributors: 2
Funding: No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like labbench is missing a Code of Conduct.

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Package

Python Versions Compatibility: <3.14,>=3.9

Age: 5 years
Latest Release: 2 months ago
Dependencies: 1 Direct
Versions: 38
Maintainers: 0
Wheels: OS Independent

Readme

The labbench module provides API tools to support python scripting for laboratory automation. The goal is to simplify the process of developing an experimental procedure into clear, concise, explainable, and reusable code. These characteristics are necessary to scale up the complexity of large testbeds and experiments.

Features include:

Expedited development of python device wrappers, including specialized backends for pythonnet, pyvisa, pyserial, subprocess, telnetlib
Descriptor-driven development: minimize the distance between programming manuals and python wrappers and apply calibrations transparently
Automated logging of simple device parameters into root CSV or sqlite root tables, pointing to relational data and metadata in json and plain-text
Simplified multi-threaded concurrency tools for lab applications
Container objects for nesting device wrappers and snippets of test procedures
Support for running experiments based on tables of test conditions

The source code was developed at NIST to support complex measurement efforts. Examples of these projects include:

NIST TN 1952: LTE Impacts on GPS (data)
NIST TN 2069: Characterizing LTE User Equipment Emissions: Factor Screening
NIST TN 2140: AWS-3 LTE Impacts on Aeronautical Mobile Telemetry (data)
NIST TN 2147: Characterizing LTE User Equipment Emissions Under Closed-Loop Power Control
Blind Measurement of Receiver System Noise (data)
Automated Testbed for Interference Testing in Communications Systems (code, data)

Status

The project is under ongoing development

API changes have slowed, but deprecation warnings are not yet being provided
- Suggest pinning labbench dependency to an exact version
Parts of the documentation are in need of updates, and others have not yet been written

Installation

Prerequisites:
- python (3.9-3.12)
- an installer for python packages (pip, conda, etc.)

Command-line package install options

# option 1: preferred option in anaconda based distributions
conda install conda-forge::labbench

# option 2: preferred in other distributions
pip install labbench

Resources

Source code
Documentation
PyPI module page
ssmdevices: a collection of device wrappers implemented with labbench

Contributing

Pull requests and bug reports are welcome!
Inline documentation style convention

Contributors

Name	Contact
Dan Kuester (maintainer)
Shane Allman	Formerly with NIST
Paul Blanchard	Formerly with NIST
Yao Ma

labbench dependencies

pip

FAQs

What is labbench?

The `labbench` module provides API tools to support python scripting for laboratory automation.The goal is to simplify ... Visit Snyk Advisor to see a full health score report for labbench, including popularity, security, maintenance & community analysis.

Is labbench popular?

The python package labbench receives a total of 673 weekly downloads. As such, labbench popularity was classified as limited. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is labbench well maintained?

We found indications that labbench maintenance is sustainable demonstrating some project activity. We saw a total of 2 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is labbench safe to use?

The python package labbench was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 20 December-2024, at 11:43 (UTC).

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