Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.
API method:
GET /api/packages?search=hello&page=1&limit=20
where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned
in response headers.
If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.
Make Bootstrap 4 Shiny dashboards. Use the full power of AdminLTE3, a dashboard template built on top of Bootstrap 4.
This package implements piecewise structural equation modeling from a single list of structural equations, with new methods for non-linear, latent, and composite variables, standardized coefficients, query-based prediction and indirect effects.
This package adds indicators (spinner, progress bar, gif) that you can use in your Shiny applications to show the user that the server is busy. It also provides other tools to let your users know something is happening (send notifications, reports, ...).
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.
This package allows exporting a DiagrammeR Graphviz objects to SVG.
The formr R package provides a few convenience functions that may be useful to the users of formr (formr.org), an online survey framework which heavily relies on R via openCPU. Some of the functions are for conveniently generating individual feedback graphics, some are just shorthands to make certain common operations in formr more palatable to R novices.
This package plots path diagrams from models in lavaan using the plotting functionality from the DiagrammeR package. DiagrammeR provides nice path diagrams via Graphviz, and these functions make it easy to generate these diagrams from a lavaan path model without having to write the DOT language graph specification.
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 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.
With the DiagrammeR package you can create, modify, analyze, and visualize network graph diagrams. The output can be incorporated into R Markdown documents, integrated with Shiny web apps, converted to other graph formats, or exported as image files.
This package provides an R wrapper around the argon library.
This package provides a collection of custom input controls and user interface components for Shiny applications.
This package lets you create Bootstrap 4 dashboards powered by Argon.
The xlsxjars package collects all the external jars required for the xlxs package. This release corresponds to POI 3.10.1.
This package makes it easy to use React in R with htmlwidget scaffolds, helper dependency functions, an embedded Babel transpiler, and examples.
This plugin provides a shared library module for Yosys to implement logical synthesis of VHDL designs.
pyVHDLModel provides an unified abstract language model for VHDL written in Python.
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.
GHDL analyses, elaborates and simulates VHDL sources. It may also be used as an experimental synthesizer backend.
This package gathers GNAT binaries from FSF GCC releases of the Alire Project.
GHDL Language Server Protocol (LSP) is a server for VHDL based on GHDL.
Python library for reading, writing, and validating SNIRF files
nwb2bids reorganizes NWB files into a BIDS directory layout.
Features:
Automatically renames NWB files and their directories to conform to BIDS conventions.
Extracts relevant metadata from NWB files to populate BIDS sidecar TSV & JSON files.
Currently supports BEP32 (micro-electrode electrophysiology) data types, such as extracellular (ecephys) and intracellular (icephys) electrophysiology, as well as associated behavioral events.
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.