This page provides a curated collection of tools for working with NWB data, maintained as a convenience reference for the NWB community. Please note that this is not an exhaustive list of all available NWB tools. Many of these tools are developed and maintained by independent research groups and are actively evolving. If you would like to contribute a tool to this catalog, please see our Contributing Community Tools guide for information on NWB integration best practices and how to add your tool to this page.
Analysis & Visualization Tools
Exploring NWB Files
NWB Widgets
A library of widgets for visualizing NWB data in a Jupyter notebook (or lab). The widgets make it easy to navigate through the hierarchical structure of the NWB file and visualize specific data elements.
Neurosift
Interactive neuroscience visualizations in the browser. Neurosift caters to both individual users through its local mode, allowing the visualization of views directly from your device, as well as a remote access function for presenting your findings to other users on different machines.
NWB Explorer
A web application developed by MetaCell for reading, visualizing and exploring the content of NWB 2 files. The portal comes with built-in visualization for many data types, and provides an interface to a jupyter notebook for custom analyses and open exploration.
HDF Tools
A broad range of useful tools for inspecting and browsing HDF5 files, including HDFView, HDF5 plugins for Jupyter or VSCode, and command-line tools.
Extracellular Electrophysiology Tools
SpikeInterface
A collection of Python modules designed to improve the accessibility, reliability, and reproducibility of spike sorting and all its associated computations.
CellExplorer
A graphical user interface (GUI), a standardized processing module and data structure for exploring and classifying single cells acquired using extracellular electrodes.
EcogVIS
A Python-based, time series visualizer for Electrocorticography (ECoG) signals stored in NWB files. Makes it intuitive and simple to visualize ECoG signals from selected channels, brain regions, make annotations and mark intervals of interest.
Neo
A Python package for working with electrophysiology data in Python, together with support for reading and writing a wide range of neurophysiology file formats.
EEGLAB
A MATLAB-based electrophysiology (ECoG/iEEG/EEG) software to process and visualize data stored in NWB files.
Optical Physiology Tools
CaImAn
A computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
Suite2p
An imaging processing pipeline written in Python, including modules for Registration, Cell detection, Spike detection, and a Visualization GUI.
CIAtah
A Matlab software package for analyzing one- and two-photon calcium imaging datasets (formerly calciumImagingAnalysis).
EXTRACT
A Tractable and Robust Automated Cell extraction Tool for calcium imaging, which extracts the activities of cells as time series from both one-photon and two-photon Ca2+ imaging movies.
CICADA
A Python pipeline providing a graphical user interface (GUI) that allows the user to visualize, explore and analyze Calcium Imaging data contained in NWB files.
OptiNiSt
A GUI based workflow pipeline tool for processing two-photon calcium imaging data (Optical Neuroimage Studio).
GraFT
A signal extraction method for spatio-temporal data, using a diffusion map to learn a graph over spatial pixels that enables stochastic filtering of learned sparse representations.
Intracellular Electrophysiology Tools
PatchView
A GUI tool to perform data analysis and visualization on multi channel whole-cell recording (multi-patch) data, including firing pattern analysis, mini-event analysis, synaptic connection detection, and morphological analysis.
Behavior
DeepLabCut
An efficient method for 2D and 3D markerless pose estimation based on transfer learning with deep neural networks that achieves excellent results with minimal training data.
Movement
A Python toolbox for analysing animal body movements across space and time.
SLEAP
An open source deep-learning based framework for multi-animal pose tracking, capable of tracking any type or number of animals with an advanced labeling/training GUI for active learning and proofreading.
Data Analysis Toolbox
CEBRA
A machine-learning method that can compress time series to reveal hidden structures in data variability, excelling with behavioral and neural data recorded simultaneously.
Pynapple
A unified toolbox for integrated analysis of multiple data sources, designed to be 'plug & play' with support for electrophysiology, calcium imaging, and motion capture data.
Spyglass
A framework for building analysis workflows with a focus on reproducibility and sharing, using NWB and DataJoint to manage data and build pipelines.
Data Archive, Publication, and Management
DANDI
The NIH BRAIN Initiative archive for publishing and sharing neurophysiology data including electrophysiology, optophysiology, behavioral time-series, and images from immunostaining experiments.
DataJoint
An open-source project for defining and operating computational data pipelines—sequences of steps for data acquisition, processing, and transformation.
Acquisition & Control Tools
Acquiring Electrophysiology Data
MIES
A sweep based data acquisition tool written in Igor Pro, featuring WaveBuilder for stimulus sets, DA_Ephys GUI for real-time control, and DataBrowser for data browsing.
Open Ephys GUI
A modular, open-source software for extracellular electrophysiology, built by neuroscientists, with features for data acquisition, visualization, and extensibility through C++ modules.
Controlling and Recording Behavioral Tasks
Visiomode
An open-source platform for building touchscreen-based behavioral tasks for rodents, leveraging Raspberry Pi and offering a web-based interface with a powerful plug-in system.
ArControl
An Arduino based digital signals control system for animal behavioral platforms and Optogenetic TTL pulses, with tools for converting data to NWB format.
Brain Data Modeling and Simulation
Brain Modeling Toolkit (BMTK)
A suite for building and simulating network models at multiple levels of resolution, from biophysically-detailed, to point-neuron, to population-statistics approaches.
Disclaimer: Reference herein to any specific product, process, or service by its trade name, trademark, manufacturer, or otherwise, does not constitute or imply its endorsement, recommendation, or favoring by the NWB development team, United States Government or any agency thereof, or The Regents of the University of California. Use of the NeurodataWithoutBorders name for endorsements is prohibited.