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Back to nipy/nibabel

Projects sharing features with Nibabel

25 open-source projects similar to nipy/nibabel, ranked by shared indexed features. Tags may describe platforms or build tools rather than the same primary purpose. Check each project’s use case, license, and deployment requirements before treating it as a replacement.

  • aces/brainbrowseraces avatar

    aces/brainbrowser

    397View on GitHub↗

    BrainBrowser is a JavaScript library allowing for web-based, 2D and 3D visualization of neurological data. It consists of the Surface Viewer, a real-time 3D rendering tool for visualizing surface data, and the Volume Viewer, a slice-by-slice volumetric data analysis tool.

    JavaScript
    View on GitHub↗397
  • alleninstitute/allensdkA

    AllenInstitute/AllenSDK

    0View on GitHub↗

    This repository contains code for processing and analyzing data in the Allen Brain Atlas.

    View on GitHub↗0
  • bluebrain/braynsBlueBrain avatar

    BlueBrain/Brayns

    306View on GitHub↗

    Brayns is a large-scale scientific visualization platform. It is based on Intel OSPRAY to perform CPU Ray-tracing, which allows it to take full advantage of the underlying hardware where it runs.

    C++
    View on GitHub↗306
  • brian-team/brian2brian-team avatar

    brian-team/brian2

    1,194View on GitHub↗

    A clock-driven simulator for spiking neural networks

    Python
    View on GitHub↗1,194
  • cwatson/braingraphcwatson avatar

    cwatson/brainGraph

    196View on GitHub↗

    brainGraph (RRID: SCR017260) is an R package for performing graph theory analyses of brain MRI data. It is most useful in atlas-based analyses (e.g., using an atlas such as AAL, or one from Freesurfer); however, many of the computations (e.g., the GLM-based functions and the network-based…

    R
    View on GitHub↗196

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  • deeplabcut/deeplabcutD

    DeepLabCut/DeepLabCut

    5,694View on GitHub↗

    DeepLabCut is a deep learning toolkit for markerless 2D and 3D animal pose estimation. It functions as a motion tracking system that identifies anatomical keypoints on animals in video sequences without the need for physical markers. The framework utilizes transfer learning and a library of pre-trained weights to accelerate the training of networks for different species. It supports multi-individual identity tracking to maintain unique identities across video sequences and offers real-time pose detection for live video feeds. The system covers a broad range of computer vision capabilities, i

    Python
    View on GitHub↗5,694
  • expyriment/expyrimentexpyriment avatar

    expyriment/expyriment

    135View on GitHub↗

    ` / / () / / / / | |/// \ / / / // // // \ / \ / \ / / / / > < / // // // // / / // / / / / // // / / // / ////||/ ./ \, /// //// // // \/// // \/ // /_/ ``

    Python
    View on GitHub↗135
  • fieldtrip/fieldtripfieldtrip avatar

    fieldtrip/fieldtrip

    976View on GitHub↗

    FieldTrip is the MATLAB software toolbox for MEG, EEG and iEEG analysis that is being developed at the Donders Institute for Brain, Cognition and Behaviour in Nijmegen, the Netherlands together with collaborating institutes.

    MATLAB
    View on GitHub↗976
  • flatironinstitute/caimanflatironinstitute avatar

    flatironinstitute/CaImAn

    722View on GitHub↗

    Caiman

    Python
    View on GitHub↗722
  • hananel-hazan/bindsnetHananel-Hazan avatar

    Hananel-Hazan/bindsnet

    1,681View on GitHub↗

    A Python package used for simulating spiking neural networks (SNNs) on CPUs or GPUs using PyTorch Tensor functionality.

    Python
    View on GitHub↗1,681
  • jefferis/natjefferis avatar

    jefferis/nat

    77View on GitHub↗

    An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons. nat is the core package of a wider suite of neuroanatomy tools introduced at http://natverse.github.io. nat (and its ancestors) have been used in a number of papers from our…

    R
    View on GitHub↗77
  • mne-tools/mne-pythonmne-tools avatar

    mne-tools/mne-python

    3,243View on GitHub↗

    MNE-Python is an open-source Python library for processing, visualizing, and analyzing human neurophysiological data, including MEG, EEG, sEEG, ECoG, and NIRS recordings. It provides a comprehensive framework for loading data from over 30 proprietary file formats into a common hierarchical FIF data structure, and represents all time-series data as NumPy arrays for seamless integration with the scientific Python ecosystem. The library is built around object-oriented data containers that encapsulate raw, epoched, evoked, and source data with built-in preprocessing and visualization methods. The

    Pythonecogeegelectrocorticography
    View on GitHub↗3,243
  • mouseland/suite2pM

    MouseLand/suite2p

    0View on GitHub↗

    Pipeline for processing two-photon calcium imaging data. Copyright (C) 2026 Howard Hughes Medical Institute Janelia Research Campus

    View on GitHub↗0
  • nengo/nengonengo avatar

    nengo/nengo

    931View on GitHub↗

    .. image:: https://img.shields.io/pypi/v/nengo.svg :target: https://pypi.org/project/nengo :alt: Latest PyPI version

    Python
    View on GitHub↗931
  • neuralensemble/elephantNeuralEnsemble avatar

    NeuralEnsemble/elephant

    242View on GitHub↗

    Elephant is the Electrophysiology Analysis Toolkit

    Python
    View on GitHub↗242
  • neuralensemble/python-neoNeuralEnsemble avatar

    NeuralEnsemble/python-neo

    361View on GitHub↗

    Neo

    Python
    View on GitHub↗361
  • neurodatawithoutborders/pynwbNeurodataWithoutBorders avatar

    NeurodataWithoutBorders/pynwb

    218View on GitHub↗

    .. image:: docs/source/figures/logo_pynwb.png :width: 200px

    Python
    View on GitHub↗218
  • neuronsimulator/nrnneuronsimulator avatar

    neuronsimulator/nrn

    528View on GitHub↗

    NEURON is a simulator for models of neurons and networks of neuron. See http://neuron.yale.edu for installers, source code, documentation, tutorials, announcements of courses and conferences, and a discussion forum.

    C++
    View on GitHub↗528
  • nilearn/nilearnnilearn avatar

    nilearn/nilearn

    1,407View on GitHub↗

    Machine learning for NeuroImaging in Python

    Python
    View on GitHub↗1,407
  • nipreps/fmriprepnipreps avatar

    nipreps/fmriprep

    738View on GitHub↗

    fMRIPrep: A Robust Preprocessing Pipeline for fMRI Data fMRIPrep is a NiPreps (NeuroImaging PREProcessing toolS) application (www.nipreps.org ) for the preprocessing of task-based and resting-state functional MRI (fMRI).

    HTML
    View on GitHub↗738
  • nipy/dipynipy avatar

    nipy/dipy

    824View on GitHub↗

    .. image:: doc/_static/images/logos/dipy-logo.png :height: 180px :target: https://dipy.org :alt: DIPY - Diffusion Imaging in Python

    Python
    View on GitHub↗824
  • nipy/nipypenipy avatar

    nipy/nipype

    827View on GitHub↗

    NIPYPE: Neuroimaging in Python: Pipelines and Interfaces

    Python
    View on GitHub↗827
  • nipy/nitimeN

    nipy/nitime

    0View on GitHub↗

    Nitime: timeseries analysis for neuroscience data

    View on GitHub↗0
  • psychopy/psychopyP

    psychopy/psychopy

    0View on GitHub↗

    PsychoPy is an open-source package for creating experiments in behavioral science. It aims to provide a single package that is:

    View on GitHub↗0
  • spikeinterface/spikeinterfaceSpikeInterface avatar

    SpikeInterface/spikeinterface

    808View on GitHub↗

    Latest Release Documentation License Build Status Codecov

    Python
    View on GitHub↗808