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):
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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