HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept
{
"count": 52456,
"next": "https://ports.macports.org/api/v1/search/?format=api&page=814",
"previous": "https://ports.macports.org/api/v1/search/?format=api&page=812",
"results": [
{
"maintainers": null,
"variants": null,
"name": "R-bayesROE",
"description": "Bayesian Regions of Evidence",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"math",
"R"
],
"version": "0.2"
},
{
"maintainers": null,
"variants": null,
"name": "R-future.mirai",
"description": "R-future API for parallel processing using R-mirai",
"livecheck_broken": false,
"livecheck_outdated": true,
"active": true,
"categories": [
"devel",
"science",
"parallel",
"R"
],
"version": "0.2.2"
},
{
"maintainers": null,
"variants": null,
"name": "R-future.tests",
"description": "Test suite for R-future API backends",
"livecheck_broken": false,
"livecheck_outdated": true,
"active": true,
"categories": [
"devel",
"science",
"R"
],
"version": "0.7.0"
},
{
"maintainers": null,
"variants": null,
"name": "R-gplm",
"description": "Generalized Partial Linear Models",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"math",
"R"
],
"version": "0.7-4"
},
{
"maintainers": null,
"variants": null,
"name": "R-mBvs",
"description": "Bayesian variable selection methods for multivariate data",
"livecheck_broken": false,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"math",
"R"
],
"version": "1.92"
},
{
"maintainers": null,
"variants": null,
"name": "R-ngram",
"description": "Fast n-Gram tokenization",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"textproc",
"science",
"R"
],
"version": "3.2.3"
},
{
"maintainers": null,
"variants": null,
"name": "R-nlive",
"description": "Automated estimation of sigmoidal and piece-wise linear mixed models",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"math",
"R"
],
"version": "0.6.0"
},
{
"maintainers": null,
"variants": null,
"name": "R-norMmix",
"description": "Direct MLE for multivariate normal mixture distributions",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"math",
"R"
],
"version": "0.2-0"
},
{
"maintainers": null,
"variants": null,
"name": "R-oaii",
"description": "OpenAI API R interface",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"R"
],
"version": "0.5.0"
},
{
"maintainers": null,
"variants": null,
"name": "R-pbANOVA",
"description": "Parametric Bootstrap for ANOVA models",
"livecheck_broken": false,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"math",
"R"
],
"version": "0.1.0"
},
{
"maintainers": null,
"variants": null,
"name": "R-plsmmLasso",
"description": "Variable selection and inference for partial semi-parametric linear mixed-effects model",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"math",
"R"
],
"version": "1.1.0"
},
{
"maintainers": null,
"variants": null,
"name": "R-pooh",
"description": "Partial orders and relations",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"math",
"R",
"economics"
],
"version": "0.3-2"
},
{
"maintainers": null,
"variants": null,
"name": "R-segen",
"description": "Sequence generalization through similarity network",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"math",
"R"
],
"version": "1.1.0"
},
{
"maintainers": null,
"variants": null,
"name": "R-statGraph",
"description": "Statistical methods for graphs",
"livecheck_broken": false,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"math",
"R"
],
"version": "1.0.6"
},
{
"maintainers": null,
"variants": null,
"name": "R-tdcmStan",
"description": "Automating the creation of Stan code for TDCMs",
"livecheck_broken": false,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"math",
"R"
],
"version": "3.0.0"
},
{
"maintainers": null,
"variants": null,
"name": "R-yodel",
"description": "General Bayesian model averaging helper",
"livecheck_broken": false,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"math",
"R"
],
"version": "1.0.0"
},
{
"maintainers": null,
"variants": null,
"name": "R-ATR",
"description": "Alternative Tree Representation",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"R"
],
"version": "0.1-1"
},
{
"maintainers": null,
"variants": null,
"name": "R-LDAvis",
"description": "Interactive visualization of topic models",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"textproc",
"science",
"R"
],
"version": "0.3.2"
},
{
"maintainers": null,
"variants": null,
"name": "R-archdata",
"description": "Example datasets from archæological research",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"R"
],
"version": "1.2-1"
},
{
"maintainers": null,
"variants": null,
"name": "R-bs4Dash",
"description": "Bootstrap 4 version of R-shinydashboard",
"livecheck_broken": false,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"R"
],
"version": "2.3.4"
},
{
"maintainers": null,
"variants": null,
"name": "R-clustermq",
"description": "Evaluate function calls on HPC schedulers",
"livecheck_broken": false,
"livecheck_outdated": true,
"active": true,
"categories": [
"devel",
"science",
"R"
],
"version": "0.9.5"
},
{
"maintainers": null,
"variants": null,
"name": "R-gistr",
"description": "Work with GitHub Gists",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"R"
],
"version": "0.9.0"
},
{
"maintainers": null,
"variants": null,
"name": "R-googleCloudStorageR",
"description": "Interface with Google Cloud Storage API",
"livecheck_broken": false,
"livecheck_outdated": true,
"active": true,
"categories": [
"devel",
"science",
"www",
"R"
],
"version": "0.7.0.9000"
},
{
"maintainers": null,
"variants": null,
"name": "R-googleComputeEngineR",
"description": "R interface for Google Compute Engine",
"livecheck_broken": false,
"livecheck_outdated": true,
"active": true,
"categories": [
"science",
"www",
"R"
],
"version": "0.3.0.9000"
},
{
"maintainers": null,
"variants": null,
"name": "R-keyATM",
"description": "Keyword Assisted Topic Models",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"textproc",
"science",
"R"
],
"version": "0.5.2"
},
{
"maintainers": null,
"variants": null,
"name": "R-measures",
"description": "Performance measures for statistical learning",
"livecheck_broken": false,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"math",
"R"
],
"version": "0.3"
},
{
"maintainers": null,
"variants": null,
"name": "R-mvinfluence",
"description": "Influence measures and diagnostic plots for multivariate linear models",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"R"
],
"version": "0.9.0"
},
{
"maintainers": null,
"variants": null,
"name": "R-qqtest",
"description": "Self-calibrating quantile-quantile plots",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"R"
],
"version": "1.2.0"
},
{
"maintainers": null,
"variants": [
"clang13",
"clang14",
"clang15",
"clang16",
"clang17",
"clang18",
"clang19",
"clangdevel",
"g95",
"gcc10",
"gcc11",
"gcc12",
"gcc13",
"gcc14",
"gccdevel",
"gfortran"
],
"name": "R-seededlda",
"description": "Seeded sequential LDA for topic modelling",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"textproc",
"science",
"R"
],
"version": "1.4.1"
},
{
"maintainers": null,
"variants": null,
"name": "R-spacyr",
"description": "Wrapper to the spaCy NLP library",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"textproc",
"science",
"R"
],
"version": "1.3.0"
},
{
"maintainers": null,
"variants": [
"clang13",
"clang14",
"clang15",
"clang16",
"clang17",
"clang18",
"clang19",
"clangdevel",
"g95",
"gcc10",
"gcc11",
"gcc12",
"gcc13",
"gcc14",
"gccdevel",
"gfortran"
],
"name": "R-stm",
"description": "Estimation of the Structural Topic Model",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"textproc",
"science",
"R"
],
"version": "1.3.7"
},
{
"maintainers": null,
"variants": null,
"name": "R-textcat",
"description": "N-gram-based text categorization",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"textproc",
"science",
"R"
],
"version": "1.0-8"
},
{
"maintainers": null,
"variants": null,
"name": "R-varImp",
"description": "RF variable importance for arbitrary measures",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"math",
"R"
],
"version": "0.4"
},
{
"maintainers": [
"ierofant"
],
"variants": null,
"name": "py311-canmatrix",
"description": "Converting Can (Controller Area Network) Database Formats .arxml .dbc .dbf .kcd",
"livecheck_broken": false,
"livecheck_outdated": false,
"active": true,
"categories": [
"devel",
"python"
],
"version": "1.0"
},
{
"maintainers": [
"dbevans"
],
"variants": null,
"name": "p5-chipcard-pcsc",
"description": "Chipcard::PCSC - Communicate with a smart card using PC/SC from a Perl script",
"livecheck_broken": false,
"livecheck_outdated": false,
"active": true,
"categories": [
"perl"
],
"version": "1.4.16"
},
{
"maintainers": [
"dbevans"
],
"variants": [
"universal"
],
"name": "p5.28-chipcard-pcsc",
"description": "Chipcard::PCSC - Communicate with a smart card using PC/SC from a Perl script",
"livecheck_broken": false,
"livecheck_outdated": false,
"active": true,
"categories": [
"perl"
],
"version": "1.4.16"
},
{
"maintainers": [
"dbevans"
],
"variants": [
"universal"
],
"name": "p5.30-chipcard-pcsc",
"description": "Chipcard::PCSC - Communicate with a smart card using PC/SC from a Perl script",
"livecheck_broken": false,
"livecheck_outdated": false,
"active": true,
"categories": [
"perl"
],
"version": "1.4.16"
},
{
"maintainers": [
"dbevans"
],
"variants": [
"universal"
],
"name": "p5.32-chipcard-pcsc",
"description": "Chipcard::PCSC - Communicate with a smart card using PC/SC from a Perl script",
"livecheck_broken": false,
"livecheck_outdated": false,
"active": true,
"categories": [
"perl"
],
"version": "1.4.16"
},
{
"maintainers": [
"dbevans"
],
"variants": [
"universal"
],
"name": "p5.34-chipcard-pcsc",
"description": "Chipcard::PCSC - Communicate with a smart card using PC/SC from a Perl script",
"livecheck_broken": false,
"livecheck_outdated": false,
"active": true,
"categories": [
"perl"
],
"version": "1.4.16"
},
{
"maintainers": null,
"variants": [
"debug",
"tests",
"universal"
],
"name": "keychain-cpp",
"description": "Cross-platform wrapper for the OS credential storage",
"livecheck_broken": false,
"livecheck_outdated": true,
"active": true,
"categories": [
"sysutils",
"security"
],
"version": "1.2.1"
},
{
"maintainers": [
"petrrr"
],
"variants": null,
"name": "py312-irodsclient",
"description": "A Python client for iRODS, a distributed data management system.",
"livecheck_broken": false,
"livecheck_outdated": false,
"active": true,
"categories": [
"net",
"databases",
"science",
"python"
],
"version": "2.0.0"
},
{
"maintainers": [
"petrrr"
],
"variants": null,
"name": "py312-prettytable",
"description": "A simple Python library for easily displaying tabular data in a visually appealing ASCII table format.",
"livecheck_broken": false,
"livecheck_outdated": false,
"active": true,
"categories": [
"textproc",
"python"
],
"version": "0.7.2"
},
{
"maintainers": null,
"variants": [
"debug",
"mbedtls",
"openssl",
"universal"
],
"name": "ixwebsocket",
"description": "C++ library for WebSocket client and server development",
"livecheck_broken": false,
"livecheck_outdated": true,
"active": true,
"categories": [
"devel",
"net"
],
"version": "11.4.5"
},
{
"maintainers": null,
"variants": [
"debug"
],
"name": "cyan",
"description": "Cyan Graphics",
"livecheck_broken": false,
"livecheck_outdated": true,
"active": true,
"categories": [
"graphics"
],
"version": "1.2.4"
},
{
"maintainers": null,
"variants": null,
"name": "R-ABM",
"description": "Agent-Based Model simulation framework",
"livecheck_broken": false,
"livecheck_outdated": true,
"active": true,
"categories": [
"science",
"R",
"economics"
],
"version": "0.4.1"
},
{
"maintainers": null,
"variants": null,
"name": "R-FactoInvestigate",
"description": "Automatic description of factorial analysis",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"R"
],
"version": "1.9"
},
{
"maintainers": null,
"variants": null,
"name": "R-Factoshiny",
"description": "Perform factorial analysis from R-FactoMineR with an R-shiny application",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"R"
],
"version": "2.6"
},
{
"maintainers": null,
"variants": null,
"name": "R-area",
"description": "Calculate area of triangles and polygons",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"math",
"R"
],
"version": "0.2.0"
},
{
"maintainers": null,
"variants": null,
"name": "R-easybgm",
"description": "Extract and visualize Bayesian graphical models",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"math",
"R"
],
"version": "0.1.2"
},
{
"maintainers": null,
"variants": null,
"name": "R-eodhd",
"description": "R API for EODHD financial library",
"livecheck_broken": true,
"livecheck_outdated": false,
"active": true,
"categories": [
"science",
"www",
"finance",
"R"
],
"version": "1.0.4"
}
]
}