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Package Name Access Summary Updated
markuplint public Peace of mind in your markup - An HTML linter for all markup developers. 2025-09-29
cfn-lint public Checks CloudFormation templates for practices and behaviour that could potentially be improved 2025-09-29
folly public Facebook Open-source Library 2025-09-29
vexctl public A tool to create, transform and attest VEX metadata 2025-09-29
rslib public The Rsbuild-based library development tool. 2025-09-29
md-tui public Markdown renderer in the terminal 2025-09-29
create-rslib public Create a new Rslib project 2025-09-29
manypkg public An umbrella for your monorepo 2025-09-29
ltex-ls public LSP language server for LanguageTool with support for LaTeX, Markdown, and others 2025-09-29
anthropic public Library for accessing the anthropic API 2025-09-29
blitz public The Missing Fullstack Toolkit for Next.js 2025-09-29
del-cli public Delete files and directories 2025-09-29
hexo public A fast, simple & powerful blog framework, powered by Node.js. 2025-09-29
typescript-language-server public TypeScript & JavaScript Language Server 2025-09-29
titanium public Command line interface for building Titanium SDK apps 2025-09-29
mdx-language-server public Language server for MDX 2025-09-29
r-epir public Tools for the analysis of epidemiological data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, and computing confidence intervals around incidence risk and incidence rate estimates. Miscellaneous functions for use in meta-analysis, diagnostic test interpretation, and sample size calculations. 2025-09-29
fill-voids public Fill holes in binary 2D & 3D images fast. 2025-09-29
r-miceadds public Contains functions for multiple imputation which complements existing functionality in R. In particular, several imputation methods for the mice package (van Buuren & Groothuis-Oudshoorn, 2011, <doi:10.18637/jss.v045.i03>) are included. Main features of the miceadds package include plausible value imputation (Mislevy, 1991, <doi:10.1007/BF02294457>), multilevel imputation for variables at any level or with any number of hierarchical and non-hierarchical levels (Grund, Luedtke & Robitzsch, 2018, <doi:10.1177/1094428117703686>; van Buuren, 2018, Ch.7, <doi:10.1201/9780429492259>), imputation using partial least squares (PLS) for high dimensional predictors (Robitzsch, Pham & Yanagida, 2016), nested multiple imputation (Rubin, 2003, <doi:10.1111/1467-9574.00217>), substantive model compatible imputation (Bartlett et al., 2015, <doi:10.1177/0962280214521348>), and features for the generation of synthetic datasets (Reiter, 2005, <doi:10.1111/j.1467-985X.2004.00343.x>; Nowok, Raab, & Dibben, 2016, <doi:10.18637/jss.v074.i11>). 2025-09-29
numba public NumPy aware dynamic Python compiler using LLVM 2025-09-29
fabba public An efficient aggregation method for the symbolic representation of temporal data. 2025-09-29
retropath2_wrapper public Python wrapper to run RetroPath2.0 KNIME workflow 2025-09-29
gen3-client public Data access client for Gen3 data commons 2025-09-29
rpy2 public Python interface to the R language (embedded R) 2025-09-29
pyrefly public A fast type checker and IDE for Python 2025-09-29

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