Software per l’analisi dei dati
Upstream packages
The following tools are among the software currently tested in NeuroFedora and can be installed directly from upstream forges (e.g. PyPi). You can see the tests results here.
System packages
The following are included in the repositories:
| Software | Install with | Notes |
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A Python package for AMPL/GMPL datafile parsing. |
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Provides the infrastructure for representing, manipulating and analyzing transaction data and patterns. |
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A fully automated high-quality brain tetrahedral mesh generation toolbox. |
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catch22 is a collection of 22 time-series features coded in C. |
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Python implementations of contextual bandits algorithms. |
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Cython interface for the interior point optimzer IPOPT. |
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A fast implementation of the edit distance (Levenshtein distance) in Python. |
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Electrophys Feature Extraction Library. |
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Application designed to track multiple objects in video recording. |
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File identification library for Python. |
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A medical-image based 3-D mesh generation and analysis toolkit. |
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A 3-D Monte Carlo photon transport simulation toolbox. |
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Python package for multi-electrode array (MEA) handling and stimulation. |
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A 3-D mesh-based Monte Carlo photon transport simulator. |
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Magnetoencephalography (MEG) and Electroencephalography (EEG) data analysis. |
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A library for the computation of Nash equilibria in two player games. |
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A Python package to analyze and simulate neural time series, using digital signal processing. |
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Large-scale synthesis of functional neuroimaging data. |
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AutoML in Python. |
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A minimalistic framework for Numerical Association Rule Mining. |
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Framework for solving classification tasks using nature-inspired algorithms. |
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A Python package for solving optimization problems. |
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Timeseries analysis for neuroscience data. |
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File-format to store metadata in an organized way. |
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A C++ package for solving the forward problems of electroencephalography (EEG) and magnetoencephalography (MEG). |
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Statistical package in Python based on Pandas. |
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Python package to handle probe layout, geometry and wiring to device for neuroscience experiments. |
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A Python library for analysis of electrophysiological data. |
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A Python package for working with NWB files. |
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A Python library for the numerical analysis of spiketrain similarity |
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PySwarms is an extensible research toolkit for particle swarm optimization (PSO) in Python. |
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Unified complex network and recurrence analysis toolbox |
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A lightweight I/O utility for the BrainVision data format. |
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Sensitivity Analysis Library. |
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GUI for generating hybrid ground-truth spiking data |
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A genetic feature selection module for scikit-learn. |
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Utils for streaming large files (S3, HDFS, gzip, bz2, and more). |
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A fast and scalable solution for spike sorting of large-scale extracellular recordings. |
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Import, export, process, analyze and view triangular meshes. |
Il software in coda per l’inclusione è elencato al link: qui.
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