AutomatedCE | Software to control automated capillary electrophoresis

by brae-pete Jupyter Notebook Version: Current License: No License

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

kandi X-RAY | AutomatedCE Summary

AutomatedCE is a Jupyter Notebook library. AutomatedCE has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Software to control automated capillary electrophoresis instrumentation.

Support

Quality

Security

License

Reuse

Support

AutomatedCE has a low active ecosystem.

It has 1 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

AutomatedCE has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of AutomatedCE is current.

Quality

AutomatedCE has no bugs reported.

Security

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

License

AutomatedCE does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

AutomatedCE releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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AutomatedCE Key Features

No Key Features are available at this moment for AutomatedCE.

AutomatedCE Examples and Code Snippets

No Code Snippets are available at this moment for AutomatedCE.

Community Discussions

No Community Discussions are available at this moment for AutomatedCE.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install AutomatedCE

Download Miniconda for Python 3.7 if not already installed. https://docs.conda.io/en/latest/miniconda.html. Open the Anaconda Prompt. Create the barracuda environment by downloading the the barracuda-env text file. Change directories to where you placed the text file create the barracuda python environment.
Download the BarracudaQt repository and extract the files to the folder you want. Alternatively you can use git clone the repository to a folder. If you are using PyCharm (Python IDE) you can open the BarracudaQt project folder. Set the project interpreter to CEpy37 (File>>Settings>>Project: BarracudaQt>>Project Interpreter). Click the settings button and select "Add" to add a new conda environment. Select Existing Environment and select the path location of the interpreter to be the python inside the conda env (for example: C:\Users\UserName\Miniconda3\envs\CEpy37\pyton.exe). Select 'OK' to keep the settings.
Install the latest version of Micro-Manager 2 (https://micro-manager.org/wiki/Version_2.0). Open Mincro-Manager 2, and under Tools>>Options select the box titled "Run on Server 4762". Before you open the controller for pycromanager, make sure Micro-Manager 2 is running.

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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