iblrig | Main repository for IBL rig code

by int-brain-lab Python Version: 7.2.5 License: MIT

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

kandi X-RAY | iblrig Summary

iblrig is a Python library. iblrig has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

iblrig is using gitflow and semantic versioning conventions. More on gitflow: More on semantic versioning: Gitflow divergence: rc branc is a "pre-release" branch for beta testers on production rigs. new features go from feature branch to develop to rc to master hotfixes go from master to develop AND rc.

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Quality

Security

License

Reuse

Support

iblrig has a low active ecosystem.

It has 20 star(s) with 21 fork(s). There are 14 watchers for this library.

It had no major release in the last 12 months.

There are 30 open issues and 365 have been closed. On average issues are closed in 310 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of iblrig is 7.2.5

Quality

iblrig has no bugs reported.

Security

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

License

iblrig is licensed under the MIT License. This license is Permissive.

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

Reuse

iblrig releases are available to install and integrate.

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

Top functions reviewed by kandi - BETA

kandi has reviewed iblrig and discovered the below as its top functions. This is intended to give you an instant insight into iblrig implemented functionality, and help decide if they suit your requirements.

Copy files from local_folder to remote_folder
Ask user for confirmation
Check if we need to reinstall
Copy the files from the IBL run
Call a single project
Update a branch
Load Bpod fronts
Convert trial times to times
Load data from raw_behavior_data
Reads a JSON file
Calculate threshold based on manual calibration
Return a JSON representation of the object
Computes the probabilities of the n - th distribution
Suggest thresholding thresholds
Copies the files to the IBL run
Read data from the serial port
Call one project
Run water drop
Display information about training data
Load timestamps
Update the next trial
Load encoder events file
Load the encoder position file
Called when the trial is completed
Make a sound
Launch the experiment description
Get the stimulus from a wheel
Create a Frame2TTL object

Get all kandi verified functions for this library.

iblrig Key Features

No Key Features are available at this moment for iblrig.

iblrig Examples and Code Snippets

No Code Snippets are available at this moment for iblrig.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install iblrig

You can download it from GitHub.
You can use iblrig 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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