autolab_core | Core utilities for Berkeley AutoLab | Math library

by BerkeleyAutomation Python Version: 1.1.1 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | autolab_core Summary

autolab_core is a Python library typically used in Utilities, Math applications. autolab_core has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install autolab_core' or download it from GitHub, PyPI.

Core utilities for Berkeley AutoLab.

Support

Quality

Security

License

Reuse

Support

autolab_core has a low active ecosystem.

It has 63 star(s) with 26 fork(s). There are 43 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 9 have been closed. On average issues are closed in 158 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of autolab_core is 1.1.1

Quality

autolab_core has 0 bugs and 0 code smells.

Security

autolab_core has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

autolab_core code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

autolab_core is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

autolab_core releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

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autolab_core Key Features

No Key Features are available at this moment for autolab_core.

autolab_core Examples and Code Snippets

No Code Snippets are available at this moment for autolab_core.

Community Discussions

Trending Discussions on autolab_core

qt.qpa.plugin: Could not load the Qt platform plugin "xcb" in "" even though it was found."

Tried using pip to install visualization

QUESTION

qt.qpa.plugin: Could not load the Qt platform plugin "xcb" in "" even though it was found."

Asked 2020-Sep-23 at 02:42

I have installed gqcnn, Pyrep and autolab_core. After that, I executed the code that my coworker wrote and, it ran fine on his computer.

However, I cannot run the code. The occurred error was

...

ANSWER

Answered 2020-Sep-11 at 21:06

This may be related to a similar error message.

I just came across this problem, in Ubuntu 20.04, Python 3.8, while trying to use matplotlib_backend_qtquick.

This answer in the mentioned thread solved it for me: https://askubuntu.com/a/1069502

Source https://stackoverflow.com/questions/63829991

QUESTION

Tried using pip to install visualization

Asked 2020-Aug-02 at 13:36

So, I tried installing the visualization module (https://pypi.org/project/visualization/) in python using the pip install visualization from which I get this output -

...

ANSWER

Answered 2020-Aug-02 at 13:36

use python 3.6 or you can build it from the source

and judging by your error, you are probably using different version and pip is trying to build it from the source. The error is because you don't have visual studio build tools installed. install it and it will solve your error get it from here

Source https://stackoverflow.com/questions/63216412

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install autolab_core

You can install using 'pip install autolab_core' or download it from GitHub, PyPI.
You can use autolab_core like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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