IBL libraries

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  • License: MIT
  • Author: IBL Staff
  • Requires: Python >=3.7
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Project description

IBL Python Libraries

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Description

Library used to implement the International Brain Laboratory data pipeline. Currently in active development. The library as currently 4 main modules:

  • brainbox: neuroscience analysis oriented library
  • ibllib: general purpose library containing I/O, signal processing and IBL data pipelines utilities.
  • oneibl: interface to the Alyx database of experiments to access IBL data.
  • alf: implementation of ALF file naming convention

Release Notes here

Requirements

OS: Deployed on Linux and Windows. Minimally tested for Mac.

Python Module: Python 3.7 or higher, we develop on 3.8.

Installation, documentation and examples

https://docs.internationalbrainlab.org

Contribution and development practices

See https://int-brain-lab.github.io/iblenv/07_contribution.html

We use gitflow and Semantic Versioning.

Before commiting to your branch:

  • run tests
  • flake8 This is also enforced by continuous integration.

Matlab Library

The Matlab library has moved to its own repository here: https://github.com/int-brain-lab/ibllib-matlab/

Project details

Verified details

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Maintainers
Avatar for ibl from gravatar.com ibl Avatar for nbonacchi from gravatar.com nbonacchi Avatar for oliche from gravatar.com oliche

Unverified details

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Project links
Meta
  • License: MIT
  • Author: IBL Staff
  • Requires: Python >=3.7

Release history Release notifications | RSS feed

3.4.3

3.4.2

3.4.1

3.4.0

3.3.1

3.3.0

3.2.0

3.1.0

3.0.0

2.40.1

2.40.0

2.39.1

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2.35.3

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2.32.5

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2.7.1

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2.0.0

1.11.0

1.10.5

This version

1.10.4

1.10.3

1.10.2

1.10.1

1.9.1

1.9.0

1.6.2

1.6.1

1.5.39

1.5.37

1.5.34

1.5.29

1.5.20

1.5.13

1.5.11

1.5.5

1.5.4

1.5.1

1.4.14

1.4.13

1.4.12

1.4.11

1.4.10

1.4.9

1.4.8

1.4.7

1.4.6

1.4.5

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.3.10

1.3.9

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1.3.6

1.3.5

1.3.4

1.3.3

1.3.2

1.3.1

1.3.0

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1.2.3

1.2.2

1.2.1

1.2.0

1.1.11

1.1.10

1.1.9

1.1.8

1.1.7

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1.1.3

1.1.2

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1.1.0

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1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

0.5.6

0.5.5

0.5.4

0.5.2

0.5.1

0.5.0

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