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r-pingr
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public |
Check if a remote computer is up. It can either just call the system ping command, or check a specified TCP port.
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2025-04-22 |
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r-rhandsontable
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public |
An R interface to the 'Handsontable' JavaScript library, which is a minimalist Excel-like data grid editor. See <https://handsontable.com/> for details.
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2025-04-22 |
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r-flexdashboard
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public |
Format for converting an R Markdown document to a grid oriented dashboard. The dashboard flexibly adapts the size of it's components to the containing web page.
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2025-04-22 |
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r-showimage
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public |
Sometimes it is handy to be able to view an image file on an 'R' graphics device. This package just does that. Currently it supports 'PNG' files.
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2025-04-22 |
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r-parsedate
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public |
Parse dates automatically, without the need of specifying a format. Currently it includes the git date parser. It can also recognize and parse all ISO 8601 formats.
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2025-04-22 |
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r-shinyjqui
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public |
An extension to shiny that brings interactions and animation effects from 'jQuery UI' library.
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2025-04-22 |
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r-autoshiny
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public |
Static code compilation of a 'shiny' app given an R function (into 'ui.R' and 'server.R' files or into a 'shiny' app object). See examples at <https://github.com/alekrutkowski/autoshiny>.
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2025-04-22 |
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r-npsurv
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public |
Contains functions for non-parametric survival analysis of exact and interval-censored observations.
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2025-04-22 |
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tsl_ordered_map
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public |
C++ ordered hash map and hash set
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2025-04-22 |
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yt_astro_analysis
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public |
Astrophysics-specific functionality built on top of yt
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2025-04-22 |
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marisa-trie
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public |
Static memory-efficient & fast Trie-like structures for Python (based on marisa-trie C++ library)
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2025-04-22 |
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r-rcppnumerical
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public |
A collection of open source libraries for numerical computing (numerical integration, optimization, etc.) and their integration with 'Rcpp'.
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2025-04-22 |
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r-chemospecutils
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public |
Functions supporting the common needs of packages 'ChemoSpec' and 'ChemoSpec2D'.
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2025-04-22 |
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lintel
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public |
A Python module to decode video frames directly, using the FFmpeg C API.
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2025-04-22 |
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r-shades
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public |
Functions for easily manipulating colours, creating colour scales and calculating colour distances.
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2025-04-22 |
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pymt_sedflux
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public |
sedflux components wrapped as PyMT plugins.
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2025-04-22 |
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p11-kit
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public |
Provides a way to load and enumerate PKCS#11 modules
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2025-04-22 |
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r-conflicted
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public |
R's default conflict management system gives the most recently loaded package precedence. This can make it hard to detect conflicts, particularly when they arise because a package update creates ambiguity that did not previously exist. 'conflicted' takes a different approach, making every conflict an error and forcing you to choose which function to use.
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2025-04-22 |
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spooles
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public |
library for solving sparse real and complex linear systems of equations
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2025-04-22 |
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r-tidytree
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public |
Phylogenetic tree generally contains multiple components including node, edge, branch and associated data. 'tidytree' provides an approach to convert tree object to tidy data frame as well as provides tidy interfaces to manipulate tree data.
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2025-04-22 |
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r-ggiraph
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public |
Create interactive 'ggplot2' graphics using 'htmlwidgets'.
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2025-04-22 |
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r-esquisse
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public |
A 'shiny' gadget to create 'ggplot2' charts interactively with drag-and-drop to map your variables. You can quickly visualize your data accordingly to their type, export to 'PNG' or 'PowerPoint', and retrieve the code to reproduce the chart.
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2025-04-22 |
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r-ddpcr
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public |
An interface to explore, analyze, and visualize droplet digital PCR (ddPCR) data in R. This is the first non-proprietary software for analyzing two-channel ddPCR data. An interactive tool was also created and is available online to facilitate this analysis for anyone who is not comfortable with using R.
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2025-04-22 |
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r-broom.mixed
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public |
Convert fitted objects from various R mixed-model packages into tidy data frames along the lines of the 'broom' package. The package provides three S3 generics for each model: tidy(), which summarizes a model's statistical findings such as coefficients of a regression; augment(), which adds columns to the original data such as predictions, residuals and cluster assignments; and glance(), which provides a one-row summary of model-level statistics.
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2025-04-22 |
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pymca
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public |
Mapping and X-Ray Fluorescence Analysis
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2025-04-22 |
