igraph - Network Analysis and Visualization

Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.

Last updated 4 months ago

complex-networksgraph-algorithmsgraph-theorymathematicsnetwork-analysisnetwork-graphfortranlibxml2glpkopenblascpp

20.94 score 587 stars 1.3k dependents 33k scripts 627k downloads

rlang - Functions for Base Types and Core R and 'Tidyverse' Features

A toolbox for working with base types, core R features like the condition system, and core 'Tidyverse' features like tidy evaluation.

Last updated 1 months ago

20.36 score 526 stars 9.2k dependents 9.3k scripts 1.9M downloads

arrow - Integration to 'Apache' 'Arrow'

'Apache' 'Arrow' <https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.

Last updated 1 months ago

arrowparquetcurlopensslcpp

19.15 score 15k stars 58 dependents 11k scripts 306k downloads

later - Utilities for Scheduling Functions to Execute Later with Event Loops

Executes arbitrary R or C functions some time after the current time, after the R execution stack has emptied. The functions are scheduled in an event loop.

Last updated 2 months ago

cpp

15.85 score 145 stars 1.9k dependents 255 scripts 624k downloads

prophet - Automatic Forecasting Procedure

Implements a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.

Last updated 8 months ago

forecastingpythoncpp

15.33 score 19k stars 11 dependents 1000 scripts 11k downloads

targets - Dynamic Function-Oriented 'Make'-Like Declarative Pipelines

Pipeline tools coordinate the pieces of computationally demanding analysis projects. The 'targets' package is a 'Make'-like pipeline tool for statistics and data science in R. The package skips costly runtime for tasks that are already up to date, orchestrates the necessary computation with implicit parallel computing, and abstracts files as R objects. If all the current output matches the current upstream code and data, then the whole pipeline is up to date, and the results are more trustworthy than otherwise. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).

Last updated 15 days ago

data-sciencehigh-performance-computingmakepeer-reviewedpipeliner-targetopiareproducibilityreproducible-researchtargetsworkflow

15.22 score 994 stars 20 dependents 4.7k scripts 13k downloads

litedown - A Lightweight Version of R Markdown

Render R Markdown to Markdown (without using 'knitr'), and Markdown to lightweight HTML or 'LaTeX' documents with the 'commonmark' package (instead of 'Pandoc'). Some missing Markdown features in 'commonmark' are also supported, such as raw HTML or 'LaTeX' blocks, 'LaTeX' math, superscripts, subscripts, footnotes, element attributes, and appendices, but not all 'Pandoc' Markdown features are (or will be) supported. With additional JavaScript and CSS, you can also create HTML slides and articles. This package can be viewed as a trimmed-down version of R Markdown and 'knitr'. It does not aim at rich Markdown features or a large variety of output formats (the primary formats are HTML and 'LaTeX'). Book and website projects of multiple input documents are also supported.

Last updated 2 months ago

litedownmarkdownr-markdownreport-generatorreproducible-research

13.78 score 207 stars 356 dependents 18 scripts 361k downloads

duckdb - DBI Package for the DuckDB Database Management System

The DuckDB project is an embedded analytical data management system with support for the Structured Query Language (SQL). This package includes all of DuckDB and an R Database Interface (DBI) connector.

Last updated 24 days ago

databaseduckdbolapcpp

13.41 score 167 stars 28 dependents 1.7k scripts 19k downloads

cmdstanr - R Interface to 'CmdStan'

A lightweight interface to 'Stan' <https://mc-stan.org>. The 'CmdStanR' interface is an alternative to 'RStan' that calls the command line interface for compilation and running algorithms instead of interfacing with C++ via 'Rcpp'. This has many benefits including always being compatible with the latest version of Stan, fewer installation errors, fewer unexpected crashes in RStudio, and a more permissive license.

Last updated 2 months ago

bayesbayesianmarkov-chain-monte-carlomaximum-likelihoodmcmcstanvariational-inference

12.61 score 148 stars 8 dependents 6.7k scripts

polars - Lightning-Fast 'DataFrame' Library

Lightning-fast 'DataFrame' library written in 'Rust'. Convert R data to 'Polars' data and vice versa. Perform fast, lazy, larger-than-memory and optimized data queries. 'Polars' is interoperable with the package 'arrow', as both are based on the 'Apache Arrow' Columnar Format.

Last updated 1 months ago

arrowpolarsrust

11.98 score 506 stars 2 dependents 1.0k scripts 5 downloads

adbcdrivermanager - 'Arrow' Database Connectivity ('ADBC') Driver Manager

Provides a developer-facing interface to 'Arrow' Database Connectivity ('ADBC') for the purposes of driver development, driver testing, and building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.

Last updated 21 days ago

arrowdatabasecpp

11.56 score 433 stars 6 dependents 74 scripts 3.6k downloads

nanoarrow - Interface to the 'nanoarrow' 'C' Library

Provides an 'R' interface to the 'nanoarrow' 'C' library and the 'Apache Arrow' application binary interface. Functions to import and export 'ArrowArray', 'ArrowSchema', and 'ArrowArrayStream' 'C' structures to and from 'R' objects are provided alongside helpers to facilitate zero-copy data transfer among 'R' bindings to libraries implementing the 'Arrow' 'C' data interface.

Last updated 8 months ago

arrowcpp

11.52 score 188 stars 21 dependents 40 scripts 23k downloads

tarchetypes - Archetypes for Targets

Function-oriented Make-like declarative pipelines for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible pipelines concisely and compactly. The methods in this package were influenced by the 'targets' R package. by Will Landau (2018) <doi:10.21105/joss.00550>.

Last updated 15 days ago

data-sciencehigh-performance-computingpeer-reviewedpipeliner-targetopiareproducibilitytargetsworkflow

11.35 score 144 stars 8 dependents 1.9k scripts 3.7k downloads

crew - A Distributed Worker Launcher Framework

In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'NNG'-powered 'mirai' R package by Gao (2023) <doi:10.5281/zenodo.7912722> is a sleek and sophisticated scheduler that efficiently processes these intense workloads. The 'crew' package extends 'mirai' with a unifying interface for third-party worker launchers. Inspiration also comes from packages. 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischel, and Surmann (2017) <doi:10.21105/joss.00135>.

Last updated 14 days ago

high-performance-computing

11.08 score 139 stars 1 dependents 312 scripts 2.6k downloads

mirai - Minimalist Async Evaluation Framework for R

Designed for simplicity, a 'mirai' evaluates an R expression asynchronously in a parallel process, locally or distributed over the network. Modern networking and concurrency, built on 'nanonext' and 'NNG' (Nanomsg Next Gen), ensures reliable and efficient scheduling over fast inter-process communications or TCP/IP secured by TLS. Distributed computing can launch remote resources via SSH or cluster managers. A queued architecture readily handles more tasks than available processes, requiring no storage on the file system. Innovative features include event-driven promises, asynchronous parallel map, and automatic serialization of otherwise non-exportable reference objects.

Last updated 7 hours ago

asyncasynchronous-tasksconcurrencydistributed-computinghigh-performance-computingparallel-computing

10.94 score 236 stars 7 dependents 148 scripts 3.2k downloads

httpgd - A 'HTTP' Server Graphics Device

A graphics device for R that is accessible via network protocols. This package was created to make it easier to embed live R graphics in integrated development environments and other applications. The included 'HTML/JavaScript' client (plot viewer) aims to provide a better overall user experience when dealing with R graphics. The device asynchronously serves graphics via 'HTTP' and 'WebSockets'.

Last updated 3 months ago

cpp

10.65 score 434 stars 1 dependents 322 scripts 3.0k downloads

webchem - Chemical Information from the Web

Chemical information from around the web. This package interacts with a suite of web services for chemical information. Sources include: Alan Wood's Compendium of Pesticide Common Names, Chemical Identifier Resolver, ChEBI, Chemical Translation Service, ChemSpider, ETOX, Flavornet, NIST Chemistry WebBook, OPSIN, PubChem, SRS, Wikidata.

Last updated 2 years ago

cas-numberchemical-informationchemspideridentifierropensciwebscraping

10.08 score 168 stars 6 dependents 166 scripts 1.2k downloads

nanonext - NNG (Nanomsg Next Gen) Lightweight Messaging Library

R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. NNG is a socket library for reliable, high-performance messaging over in-process, IPC, TCP, WebSocket and secure TLS transports. Implements 'Scalability Protocols', a standard for common communications patterns including publish/subscribe, request/reply and service discovery. As its own threaded concurrency framework, provides a toolkit for asynchronous programming and distributed computing. Intuitive 'aio' objects resolve automatically when asynchronous operations complete, and synchronisation primitives allow R to wait upon events signalled by concurrent threads.

Last updated 3 days ago

concurrencyhttpsipc-messagemessaging-librarynngrpcsocket-communicationsynchronization-primitivestcp-protocolwebsocketmbedtls

8.66 score 62 stars 9 dependents 30 scripts 3.9k downloads

adbcflightsql - 'Arrow' Database Connectivity ('ADBC') 'FlightSQL' Driver

Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'FlightSQL' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.

Last updated 21 days ago

arrowdatabasegolang

7.88 score 433 stars 2 scripts

adbcbigquery - 'Arrow' Database Connectivity ('ADBC') 'BigQuery' Driver

Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'BigQuery' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.

Last updated 21 days ago

arrowdatabasegolang

7.88 score 433 stars 1 scripts

adbcsnowflake - Arrow Database Connectivity ('ADBC') 'Snowflake' Driver

Provides a developer-facing interface to the 'Arrow' Database Connectivity ('ADBC') 'Snowflake' driver for the purposes of building high-level database interfaces for users. 'ADBC' <https://arrow.apache.org/adbc/> is an API standard for database access libraries that uses 'Arrow' for result sets and query parameters.

Last updated 21 days ago

arrowdatabasegolang

7.88 score 433 stars 1 scripts

tidypolars - Get the Power of Polars with the Syntax of the Tidyverse

Polars is a cross-language tool for manipulating very large data. However, one drawback is that the R implementation has a syntax that will look odd to many R users who are not used to Python syntax. The objective of tidypolars is to improve the ease-of-use of Polars in R by providing tidyverse syntax to polars.

Last updated 2 months ago

7.86 score 201 stars 33 scripts

prqlr - R Bindings for the 'prqlc' Rust Library

Provides a function to convert 'PRQL' strings to 'SQL' strings. Combined with other R functions that take 'SQL' as an argument, 'PRQL' can be used on R.

Last updated 2 months ago

prqlrustsql

7.64 score 58 stars 18 scripts 596 downloads

unigd - Universal Graphics Device

A unified R graphics backend. Render R graphics fast and easy to many common file formats. Provides a thread safe 'C' interface for asynchronous rendering of R graphics.

Last updated 3 months ago

cairotifflibpngzlibcpp

7.57 score 22 stars 2 dependents 6 scripts 3.1k downloads

ichimoku - Visualization and Tools for Ichimoku Kinko Hyo Strategies

An implementation of 'Ichimoku Kinko Hyo', also commonly known as 'cloud charts'. Static and interactive visualizations with tools for creating, backtesting and development of quantitative 'ichimoku' strategies. As described in Sasaki (1996, ISBN:4925152009), the technique is a refinement on candlestick charting, originating from Japan and now in widespread use in technical analysis worldwide. Translating as 'one-glance equilibrium chart', it allows the price action and market structure of financial securities to be determined 'at-a-glance'. Incorporates an interface with the OANDA fxTrade API <https://developer.oanda.com/> for retrieving historical and live streaming price data for major currencies, metals, commodities, government bonds and stock indices.

Last updated 2 months ago

ichimokuichimoku-cloudoandaquantitative-finance

7.52 score 32 stars 40 scripts 929 downloads

rJavaEnv - 'Java' Environments for R Projects

Quickly install 'Java Development Kit (JDK)' without administrative privileges and set environment variables in current R session or project to solve common issues with 'Java' environment management in 'R'. Recommended to users of 'Java'/'rJava'-dependent 'R' packages such as 'r5r', 'opentripplanner', 'xlsx', 'openNLP', 'rWeka', 'RJDBC', 'tabulapdf', and many more. 'rJavaEnv' prevents common problems like 'Java' not found, 'Java' version conflicts, missing 'Java' installations, and the inability to install 'Java' due to lack of administrative privileges. 'rJavaEnv' automates the download, installation, and setup of the 'Java' on a per-project basis by setting the relevant 'JAVA_HOME' in the current 'R' session or the current working directory (via '.Rprofile', with the user's consent). Similar to what 'renv' does for 'R' packages, 'rJavaEnv' allows different 'Java' versions to be used across different projects, but can also be configured to allow multiple versions within the same project (e.g. with the help of 'targets' package). Note: there are a few extra steps for 'Linux' users, who don't have any 'Java' previously installed in their system, and who prefer package installation from source, rather then installing binaries from 'Posit Package Manager'. See documentation for details.

Last updated 2 months ago

environmentsjavareproducibilityreproducible-research

7.33 score 17 stars 12 scripts 1.2k downloads

string2path - Rendering Font into 'data.frame'

Extract glyph information from font data, and translate the outline curves to flattened paths or tessellated polygons. The converted data is returned as a 'data.frame' in easy-to-plot format.

Last updated 2 months ago

rustcargo

7.20 score 99 stars 12 scripts 17k downloads

crew.cluster - Crew Launcher Plugins for Traditional High-Performance Computing Clusters

In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'crew.cluster' package extends the 'mirai'-powered 'crew' package with worker launcher plugins for traditional high-performance computing systems. Inspiration also comes from packages 'mirai' by Gao (2023) <https://github.com/r-lib/mirai>, 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischl, and Surmann (2017). <doi:10.21105/joss.00135>.

Last updated 1 months ago

crewhigh-performance-computing

6.88 score 29 stars 81 scripts 931 downloads

jagstargets - Targets for JAGS Pipelines

Bayesian data analysis usually incurs long runtimes and cumbersome custom code. A pipeline toolkit tailored to Bayesian statisticians, the 'jagstargets' R package is leverages 'targets' and 'R2jags' to ease this burden. 'jagstargets' makes it super easy to set up scalable JAGS pipelines that automatically parallelize the computation and skip expensive steps when the results are already up to date. Minimal custom code is required, and there is no need to manually configure branching, so usage is much easier than 'targets' alone. For the underlying methodology, please refer to the documentation of 'targets' <doi:10.21105/joss.02959> and 'JAGS' (Plummer 2003) <https://www.r-project.org/conferences/DSC-2003/Proceedings/Plummer.pdf>.

Last updated 6 months ago

bayesianhigh-performance-computingjagsmaker-targetopiareproducibilityrjagsstatisticstargetscpp

6.81 score 10 stars 32 scripts 723 downloads

rwasm - Build R Packages for WebAssembly

Utility functions to help build R packages compiled for WebAssembly (Wasm), manage Wasm binary R package libraries and repositories, and prepare webR compatible filesystem images for static web hosting of data files and R packages.

Last updated 8 months ago

6.70 score 62 stars 6 scripts

geographr - R package for mapping UK geographies

A package to distribute and compute on UK geographical data.

Last updated 10 months ago

6.17 score 38 stars 374 scripts

bridgestan - BridgeStan, Accessing Stan Model Functions in R

BridgeStan provides efficient in-memory access to the methods of a Stan model, including log densities, gradients, Hessians, and constraining and unconstraining transforms.

Last updated 25 days ago

ccppjuliapythonstan

6.02 score 101 stars 8 scripts

IMD - Index of Multiple Deprivation Data for the UK

Index of Multiple Deprivation for UK nations at various geographical levels. In England, deprivation data is for Lower Layer Super Output Areas, Middle Layer Super Output Areas, Wards, and Local Authorities based on data from <https://www.gov.uk/government/statistics/english-indices-of-deprivation-2019>. In Wales, deprivation data is for Lower Layer Super Output Areas, Middle Layer Super Output Areas, Wards, and Local Authorities based on data from <https://gov.wales/welsh-index-multiple-deprivation-full-index-update-ranks-2019>. In Scotland, deprivation data is for Data Zones, Intermediate Zones, and Council Areas based on data from <https://simd.scot>. In Northern Ireland, deprivation data is for Super Output Areas and Local Government Districts based on data from <https://www.nisra.gov.uk/statistics/deprivation/northern-ireland-multiple-deprivation-measure-2017-nimdm2017>. The 'IMD' package also provides the composite UK index developed by <https://github.com/mysociety/composite_uk_imd>.

Last updated 3 years ago

5.82 score 16 stars 41 scripts 735 downloads

stantargets - Targets for Stan Workflows

Bayesian data analysis usually incurs long runtimes and cumbersome custom code. A pipeline toolkit tailored to Bayesian statisticians, the 'stantargets' R package leverages 'targets' and 'cmdstanr' to ease these burdens. 'stantargets' makes it super easy to set up scalable Stan pipelines that automatically parallelize the computation and skip expensive steps when the results are already up to date. Minimal custom code is required, and there is no need to manually configure branching, so usage is much easier than 'targets' alone. 'stantargets' can access all of 'cmdstanr''s major algorithms (MCMC, variational Bayes, and optimization) and it supports both single-fit workflows and multi-rep simulation studies. For the statistical methodology, please refer to 'Stan' documentation (Stan Development Team 2020) <https://mc-stan.org/>.

Last updated 6 months ago

bayesianhigh-performance-computingmaker-targetopiareproducibilitystanstatisticstargets

5.27 score 49 stars 190 scripts

SBC - Simulation Based Calibration for rstan/cmdstanr models

SBC helps perform Simulation Based Calibration on Bayesian models. SBC lets you check for bugs in your model code and/or algorithm that fits the model. SBC focuses on models built with 'Stan' <https://mc-stan.org>, but can support other modelling languages as well.

Last updated 1 years ago

diagnosticssimulation-based-inference

5.11 score 57 stars 91 scripts

crew.aws.batch - A Crew Launcher Plugin for AWS Batch

In computationally demanding analysis projects, statisticians and data scientists asynchronously deploy long-running tasks to distributed systems, ranging from traditional clusters to cloud services. The 'crew.aws.batch' package extends the 'mirai'-powered 'crew' package with a worker launcher plugin for AWS Batch. Inspiration also comes from packages 'mirai' by Gao (2023) <https://github.com/r-lib/mirai>, 'future' by Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019) <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischl, and Surmann (2017). <doi:10.21105/joss.00135>.

Last updated 1 months ago

aws-batchcrewhigh-performance-computing

5.08 score 16 stars 6 scripts 811 downloads

taxizedb - Tools for Working with 'Taxonomic' Databases

Tools for working with 'taxonomic' databases, including utilities for downloading databases, loading them into various 'SQL' databases, cleaning up files, and providing a 'SQL' connection that can be used to do 'SQL' queries directly or used in 'dplyr'.

Last updated 2 years ago

itistaxizetaxonomic-databasestaxonomy

4.94 score 31 stars 93 scripts 41 downloads

autometric - Background Resource Logging

Intense parallel workloads can be difficult to monitor. Packages 'crew.cluster', 'clustermq', and 'future.batchtools' distribute hundreds of worker processes over multiple computers. If a worker process exhausts its available memory, it may terminate silently, leaving the underlying problem difficult to detect or troubleshoot. Using the 'autometric' package, a worker can proactively monitor itself in a detached background thread. The worker process itself runs normally, and the thread writes to a log every few seconds. If the worker terminates unexpectedly, 'autometric' can read and visualize the log file to reveal potential resource-related reasons for the crash. The 'autometric' package borrows heavily from the methods of packages 'ps' <doi:10.32614/CRAN.package.ps> and 'psutil'.

Last updated 6 months ago

4.65 score 7 stars 13 scripts 1.6k downloads

audio.whisper - Transcribe Audio Files using the "Whisper" Automatic Speech Recognition Model

The "Whisper" models are trained for speech recognition and translation tasks, capable of transcribing speech audio into the text in the language it is spoken (Automatic Speech Recognition) as well as translated into English (speech translation). The package is an "Rcpp" wrapper around the standalone C++ implementation provided at <https://github.com/ggerganov/whisper.cpp>. There are 10 pretrained models available of different sizes and language capabilities. "Whisper" is explained in the paper: 'Robust Speech Recognition via Large-Scale Weak Supervision' by Radford et al. (2022), available at <arXiv:2212.04356>.

Last updated 1 years ago

cpp

4.60 score 121 stars 33 scripts

healthyr - R package for mapping UK health data

A package to distribute and summarise on UK health data.

Last updated 9 months ago

4.58 score 4 stars 96 scripts

asylum - Data on Asylum and Resettlement for the UK

Data on Asylum and Resettlement for the UK, provided by the Home Office <https://www.gov.uk/government/statistical-data-sets/immigration-system-statistics-data-tables>.

Last updated 1 years ago

4.21 score 3 stars 36 scripts 899 downloads

zstdlite - Fast Compression and Serialization with 'Zstandard' Algorithm

Fast, compressed serialization of R objects using the 'Zstandard' algorithm. R objects can be compressed and decompressed quickly using the standard serialization mechanism in R. Raw byte vectors and strings are also handled directly for compatibility with compressed data created by other systems and programs supporting 'Zstandard' compression. Dictionaries are supported for more effective compression of small data, and functions are provided for training these dictionaries. This implementation is a wrapper around the 'Zstandard' 'C' library which is available from <https://github.com/facebook/zstd>.

Last updated 1 years ago

zstd

4.18 score 30 stars 7 scripts

demographr - R package for mapping UK demographics

A package to distribute UK demographic data.

Last updated 8 months ago

4.02 score 2 stars 58 scripts

milRex - Query Military Expenditure Data From SIPRI

Queries data from the Military Expenditure Database by SIPRI.

Last updated 6 months ago

3.60 score 2 stars 1 scripts

targetsketch - Create and Visualize Targets Pipelines

A Shiny app for creating and visualizing targets pipelines (<https://github.com/wlandau/targets>). Simply supply a _targets.R file with the pipeline and supporting functions, and the app shows a dependency graph and manifest.

Last updated 1 years ago

data-sciencehigh-performance-computingpipelinereproducibilityshinytargetsworkflow

3.41 score 17 stars 1 scripts

multiverse.internals - Internal Infrastructure for R-multiverse

R-multiverse requires this internal infrastructure package to automate contribution reviews and populate universes.

Last updated 12 hours ago

3.30 score 1 stars 1 scripts

webseq - Access data from biological sequence databases like NCBI, ENA, MGnify

This package interacts with online biological sequence databases. It provides functions to search for sequences, convert identifiers and download sequences and associated metadata.

Last updated 1 years ago

3.18 score 3 stars 1 scripts

glaredb - R Bindings for 'GlareDB'

R bindings for 'GlareDB', an analytical database based on 'Apache Arrow' and 'Apache DataFusion' that can connect to various data sources and execute queries.

Last updated 7 months ago

arrowglaredbrustsql

3.08 score 4 stars 6 scripts

multitools - Tools for Contributing Packages to R-multiverse

'R-multiverse' is a community-curated collection of R package releases, powered by 'R-universe'. The 'multitools' package has tools for maintainers of packages in 'R-multiverse'.

Last updated 12 months ago

2.65 score 3 stars

wildfires - Mapping Risk and Resilience to wildfires in the UK

Build an social vulnerability index using PCA and identify areas of high wildfire risk and high social vulnerability.

Last updated 9 months ago

2.48 score 1 stars

tidytensor - TidyTensor

Provides functions for working with tensors (vectors, matrices, or multidimensional arrays) as named hierarchical data structures.

Last updated 4 years ago

2.30 score 4 stars 1 scripts

audio.vadwebrtc - Voice Activity Detection using the 'webrtc' Toolkit

Voice Activity Detection using the 'webrtc' toolkit. Identify the locations in audio files where there is an active voice. The is done based on a Gaussian Mixture Model implemented in the 'webrtc' framework.

Last updated 1 years ago

cpp

1.70 score 1 stars 6 scripts

loneliness - A Loneliness Prescription Index for the UK

A loneliness prescription index for the UK.

Last updated 1 years ago

2.48 score 2 stars 8 scripts