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md-tui
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public |
Markdown renderer in the terminal
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2025-09-29 |
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create-rslib
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public |
Create a new Rslib project
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2025-09-29 |
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manypkg
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public |
An umbrella for your monorepo
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2025-09-29 |
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ltex-ls
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public |
LSP language server for LanguageTool with support for LaTeX, Markdown, and others
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2025-09-29 |
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anthropic
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public |
Library for accessing the anthropic API
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2025-09-29 |
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blitz
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public |
The Missing Fullstack Toolkit for Next.js
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2025-09-29 |
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h5io_browser
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public |
Easy navigation and data storage for HDF5
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2025-09-29 |
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del-cli
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public |
Delete files and directories
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2025-09-29 |
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hexo
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public |
A fast, simple & powerful blog framework, powered by Node.js.
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2025-09-29 |
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typescript-language-server
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public |
TypeScript & JavaScript Language Server
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2025-09-29 |
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titanium
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public |
Command line interface for building Titanium SDK apps
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2025-09-29 |
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mdx-language-server
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public |
Language server for MDX
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2025-09-29 |
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r-epir
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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.
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2025-09-29 |
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chronon-ai
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public |
Chronon python API library
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2025-09-29 |
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fill-voids
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public |
Fill holes in binary 2D & 3D images fast.
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2025-09-29 |
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fastremap
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public |
Remap, mask, renumber, unique, and in-place transposition of 3D labeled images. Point cloud too.
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2025-09-29 |
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r-miceadds
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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>).
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2025-09-29 |
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numba
|
public |
NumPy aware dynamic Python compiler using LLVM
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2025-09-29 |
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fabba
|
public |
An efficient aggregation method for the symbolic representation of temporal data.
|
2025-09-29 |
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retropath2_wrapper
|
public |
Python wrapper to run RetroPath2.0 KNIME workflow
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2025-09-29 |
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gen3-client
|
public |
Data access client for Gen3 data commons
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2025-09-29 |
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rpy2
|
public |
Python interface to the R language (embedded R)
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2025-09-29 |
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pyrefly
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public |
A fast type checker and IDE for Python
|
2025-09-29 |
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conda-forge-repodata-patches
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public |
generate tweaks to index metadata, hosted separately from anaconda.org index
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2025-09-29 |
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aimz
|
public |
Scalable probabilistic impact modeling
|
2025-09-29 |
