The xlsxjars package collects all the external jars required for the xlxs package. This release corresponds to POI 3.10.1.

This package provides interactive data tables for R, based on the React Table JavaScript library. It provides an HTML widget that can be used in R Markdown documents and Shiny applications, or viewed from an R console.

This package makes it easy to use React in R with htmlwidget scaffolds, helper dependency functions, an embedded Babel transpiler, and examples.

This natural language processing toolkit provides language-agnostic tokenization, parts of speech tagging, lemmatization and dependency parsing of raw text. Next to text parsing, the package also allows you to train annotation models based on data of treebanks in CoNLL-U format as provided at https://universaldependencies.org/format.html. The techniques are explained in detail in the paper: 'Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe', available at doi:10.18653/v1/K17-3009. The toolkit also contains functionalities for commonly used data manipulations on texts which are enriched with the output of the parser. Namely functionalities and algorithms for collocations, token co-occurrence, document term matrix handling, term frequency inverse document frequency calculations, information retrieval metrics (Okapi BM25), handling of multi-word expressions, keyword detection (Rapid Automatic Keyword Extraction, noun phrase extraction, syntactical patterns) sentiment scoring and semantic similarity analysis.

Make Bootstrap 4 Shiny dashboards. Use the full power of AdminLTE3, a dashboard template built on top of Bootstrap 4.

This package gives the ability to automatically generate and serve an HTTP API from R functions using the annotations in the R documentation around your functions.

This package gathers GNAT binaries from FSF GCC releases of the Alire Project.

UVVM Light is a low threshold version of UVVM and is intended for developers who want to start using UVVM Utilty library and Bus Functional Models.

This plugin provides a shared library module for Yosys to implement logical synthesis of VHDL designs.

GHDL analyses, elaborates and simulates VHDL sources. It may also be used as an experimental synthesizer backend.

GHDL Language Server Protocol (LSP) is a server for VHDL based on GHDL.

pyVHDLModel provides an unified abstract language model for VHDL written in Python.

This package provides I/O functions for the CNT format from ANT Neuro.

Picard provides Python/Octave/MATLAB code for the preconditionned ICA for real data.

bycycle is a tool for quantifying features of neural oscillations in the time domain, as opposed to the frequency domain, using a cycle-by-cycle approach.

A Python-native package for reading, writing, processing, and plotting physiologic signal and annotation data. The core I/O functionality is based on the Waveform Database (WFDB) specifications.

This package provides code for feature extraction with M/EEG data.

The NIX data model allows to store fully annotated scientific dataset, i.e. the data together with its metadata within the same container. The current implementations store the actual data using the HDF5 file format as a storage backend.

This package provides a new backend based on pyqtgraph for the 2D-Data-Browser in MNE-Python.

AntroPy is a Python package providing several time-efficient algorithms for computing the complexity of time-series. It can be used for example to extract features from EEG signals.

A Python package to handle the layout, geometry, and wiring of silicon probes for extracellular electrophysiology experiments.

Tensor-based Phase-Amplitude Coupling.

This is a library to perform shift-invariant sparse dictionary learning, also known as convolutional sparse coding (CSC), on time-series data.

The OpenMEEG software is a C++ package for solving the forward problems of electroencephalography (EEG) and magnetoencephalography (MEG).