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r-bioseq public Classes and functions to work with biological sequences (DNA, RNA and amino acid sequences). Implements S3 infrastructure to work with biological sequences as described in Keck (2020) <doi:10.1111/2041-210X.13490>. Provides a collection of functions to perform biological conversion among classes (transcription, translation) and basic operations on sequences (detection, selection and replacement based on positions or patterns). The package also provides functions to import and export sequences from and to other package formats. 2025-09-29
minio public MinIO Python Library for Amazon S3 Compatible Cloud Storage for Python 2025-09-29
prettierd public prettier, as a daemon, for ludicrous formatting speed 2025-09-29
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
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
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
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
pyrefly public A fast type checker and IDE for Python 2025-09-29
aimz public Scalable probabilistic impact modeling 2025-09-29

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