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spyder-base
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public |
The Scientific Python Development Environment
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2025-09-27 |
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spyder
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public |
The Scientific Python Development Environment
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2025-09-27 |
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scifem
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public |
Scientific Computing Tools for Finite Element Methods
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2025-09-27 |
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r-unmarked
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public |
Fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates.
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2025-09-27 |
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r-networktools
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public |
Includes assorted tools for network analysis. Bridge centrality; goldbricker; MDS, PCA, & eigenmodel network plotting.
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2025-09-27 |
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r-ravedash
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public |
Dashboard system to display the analysis results produced by 'RAVE' (Magnotti J.F.,
Wang Z., Beauchamp M.S. (2020), R analysis and visualizations of 'iEEG' <doi:10.1016/j.neuroimage.2020.117341>).
Provides infrastructure to integrate customized analysis pipelines into dashboard
modules, including file structures, front-end widgets, and event handlers.
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2025-09-27 |
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r-photobiology
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public |
Definitions of classes, methods, operators and functions for use in photobiology and radiation meteorology and climatology. Calculation of effective (weighted) and not-weighted irradiances/doses, fluence rates, transmittance, reflectance, absorptance, absorbance and diverse ratios and other derived quantities from spectral data. Local maxima and minima. Conversion between energy- and photon-based units. Wavelength interpolation. Astronomical calculations related solar angles and day length. Colours and vision. This package is part of the 'r4photobiology' suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.
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2025-09-27 |
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r-rttf2pt1
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public |
Contains the program 'ttf2pt1', for use with the 'extrafont' package. This product includes software developed by the 'TTF2PT1' Project and its contributors.
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2025-09-27 |
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r-survauc
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public |
The package provides a variety of functions to estimate time-dependent true/false positive rates and AUC curves from a set of censored survival data.
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2025-09-27 |
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code-server
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public |
Run VS Code on a remote server.
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2025-09-27 |
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r-causalimpact
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public |
Implements a Bayesian approach to causal impact estimation in time series, as described in Brodersen et al. (2015) <DOI:10.1214/14-AOAS788>. See the package documentation on GitHub <https://google.github.io/CausalImpact/> to get started.
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2025-09-27 |
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jasmine-npm
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public |
CLI for Jasmine, a simple JavaScript testing framework for browsers and Node
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2025-09-27 |
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lytekit
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public |
Flyte SDK for Python
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2025-09-27 |
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yt-dlp
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public |
A youtube-dl fork with additional features and patches
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2025-09-27 |
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libsrtp2
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public |
Library for SRTP (Secure Realtime Transport Protocol)
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2025-09-27 |
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pyside6
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public |
Python bindings for Qt
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2025-09-27 |
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r-smacof
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public |
Implements the following approaches for multidimensional scaling (MDS) based on stress minimization using majorization (smacof): ratio/interval/ordinal/spline MDS on symmetric dissimilarity matrices, MDS with external constraints on the configuration, individual differences scaling (idioscal, indscal), MDS with spherical restrictions, and ratio/interval/ordinal/spline unfolding (circular restrictions, row-conditional). Various tools and extensions like jackknife MDS, bootstrap MDS, permutation tests, MDS biplots, gravity models, unidimensional scaling, drift vectors (asymmetric MDS), classical scaling, and Procrustes are implemented as well.
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2025-09-27 |
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r-mvoutlier
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public |
Various Methods for Multivariate Outlier Detection.
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2025-09-27 |
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pyabel
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public |
A Python package for forward and inverse Abel transforms
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2025-09-27 |
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r-plspm
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public |
Partial Least Squares Path Modeling (PLS-PM) analysis for both metric and non-metric data, as well as REBUS analysis.
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2025-09-27 |
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mlx
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public |
An array framework for Apple silicon
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2025-09-27 |
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r-rly
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public |
R implementation of the common parsing tools 'lex' and 'yacc'.
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2025-09-27 |
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r-raveio
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public |
Includes multiple cross-platform read/write interfaces for 'RAVE' project. 'RAVE'
stands for "R analysis and visualization of human intracranial electroencephalography
data". The whole project aims at providing powerful free-source package that analyze
brain recordings from patients with electrodes placed on the cortical surface or
inserted into the brain. 'raveio' as part of this project provides tools to read/write
neurophysiology data from/to 'RAVE' file structure, as well as several popular formats
including 'EDF(+)', 'Matlab', 'BIDS-iEEG', and 'HDF5', etc. Documentation and examples
about 'RAVE' project are provided at <https://openwetware.org/wiki/RAVE>, and the
paper by John F. Magnotti, Zhengjia Wang, Michael S. Beauchamp (2020) <doi:10.1016/j.neuroimage.2020.117341>;
see 'citation("raveio")' for details.
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2025-09-27 |
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r-robcompositions
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public |
Methods for analysis of compositional data including robust methods (<doi:10.1007/978-3-319-96422-5>), imputation of missing values (<doi:10.1016/j.csda.2009.11.023>), methods to replace rounded zeros (<doi:10.1080/02664763.2017.1410524>, <doi:10.1016/j.chemolab.2016.04.011>, <doi:10.1016/j.csda.2012.02.012>), count zeros (<doi:10.1177/1471082X14535524>), methods to deal with essential zeros (<doi:10.1080/02664763.2016.1182135>), (robust) outlier detection for compositional data, (robust) principal component analysis for compositional data, (robust) factor analysis for compositional data, (robust) discriminant analysis for compositional data (Fisher rule), robust regression with compositional predictors, functional data analysis and p-splines (<doi:10.1016/j.csda.2015.07.007>), contingency (<doi:10.1080/03610926.2013.824980>) and compositional tables (<doi:10.1111/sjos.12326>, <doi:10.1111/sjos.12223>, <doi:10.1080/02664763.2013.856871>) and (robust) Anderson-Darling normality tests for compositional data as well as popular log-ratio transformations (addLR, cenLR, isomLR, and their inverse transformations). In addition, visualisation and diagnostic tools are implemented as well as high and low-level plot functions for the ternary diagram.
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2025-09-27 |
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r-rselenium
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public |
Provides a set of R bindings for the 'Selenium 2.0 WebDriver' (see <https://selenium.dev/documentation/en/> for more information) using the 'JsonWireProtocol' (see <https://github.com/SeleniumHQ/selenium/wiki/JsonWireProtocol> for more information). 'Selenium 2.0 WebDriver' allows driving a web browser natively as a user would either locally or on a remote machine using the Selenium server it marks a leap forward in terms of web browser automation. Selenium automates web browsers (commonly referred to as browsers). Using RSelenium you can automate browsers locally or remotely.
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2025-09-27 |
