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libgz-physics
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public |
Abstract physics interface designed to support simulation and rapid development of robot applications.
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2025-10-01 |
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gz-physics7
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public |
Abstract physics interface designed to support simulation and rapid development of robot applications.
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2025-10-01 |
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docker-buildx
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public |
Docker CLI plugin for extended build capabilities with BuildKit
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2025-10-01 |
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litestream
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public |
Streaming replication for SQLite.
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2025-10-01 |
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cfitsio
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public |
A library for reading and writing FITS files
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2025-10-01 |
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visions
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public |
Visions provides an extensible suite of tools to support common data analysis operations including
type inference on unknown data, casting data types and automated data summarization.
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2025-10-01 |
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pydantic-ai
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public |
Agent Framework / shim to use Pydantic with LLMs
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2025-10-01 |
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pydantic-ai-slim
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public |
Agent Framework / shim to use Pydantic with LLMs
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2025-10-01 |
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pydantic-graph
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public |
Agent Framework / shim to use Pydantic with LLMs
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2025-10-01 |
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pydantic-evals
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public |
Agent Framework / shim to use Pydantic with LLMs
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2025-10-01 |
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pymomentum-gpu
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public |
A library for human kinematic motion and numerical optimization solvers to apply human motion
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2025-10-01 |
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shopify-cli
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public |
Build apps, themes, and hydrogen storefronts for Shopify
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2025-10-01 |
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phik
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public |
Phi_K correlation analyzer library
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2025-10-01 |
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r-lifecontingencies
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public |
Classes and methods that allow the user to manage life table, actuarial tables (also multiple decrements tables). Moreover, functions to easily perform demographic, financial and actuarial mathematics on life contingencies insurances calculations are contained therein. See Spedicato (2013) <doi:10.18637/jss.v055.i10>.
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2025-10-01 |
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r-rstantools
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public |
Provides various tools for developers of R packages interfacing with 'Stan' <https://mc-stan.org>, including functions to set up the required package structure, S3 generics and default methods to unify function naming across 'Stan'-based R packages, and vignettes with recommendations for developers.
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2025-10-01 |
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libmediainfo
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public |
Convenient unified display of the most relevant technical and tag data for video and audio files.
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2025-10-01 |
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r-stanheaders
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public |
The C++ header files of the Stan project are provided by this package, but it contains little R code or documentation. The main reference is the vignette. There is a shared object containing part of the 'CVODES' library, but its functionality is not accessible from R. 'StanHeaders' is only useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
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2025-10-01 |
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cdsapi
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public |
API to access the Copernicus Climate Data Store at ECMWF
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2025-10-01 |
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r-mapi
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public |
Mapping Averaged Pairwise Information (MAPI) is an exploratory method providing graphical representations summarizing the spatial variation of pairwise metrics (eg. distance, similarity coefficient, ...) computed between georeferenced samples.
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2025-10-01 |
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xorg-libxp
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public |
The X.org print library.
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2025-10-01 |
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openexr
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public |
OpenEXR is a high dynamic-range (HDR) image file format developed by
Industrial Light & Magic for use in computer imaging applications.
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2025-10-01 |
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r-inlabru
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public |
Facilitates spatial and general latent Gaussian modeling using integrated nested Laplace approximation via the INLA package (<https://www.r-inla.org>). Additionally, extends the GAM-like model class to more general nonlinear predictor expressions, and implements a log Gaussian Cox process likelihood for modeling univariate and spatial point processes based on ecological survey data. Model components are specified with general inputs and mapping methods to the latent variables, and the predictors are specified via general R expressions, with separate expressions for each observation likelihood model in multi-likelihood models. A prediction method based on fast Monte Carlo sampling allows posterior prediction of general expressions of the latent variables. Ecology-focused introduction in Bachl, Lindgren, Borchers, and Illian (2019) <doi:10.1111/2041-210X.13168>.
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2025-10-01 |
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segy
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public |
The Ultimate Python SEG-Y I/O with Cloud Support and Schemas
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2025-10-01 |
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zed
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public |
Code at the speed of thought
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2025-10-01 |
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treecorr
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public |
TreeCorr is a package for efficiently computing 2-point and 3-point
correlation functions.
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2025-10-01 |
