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lazyjournal
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public |
TUI for logs from journalctl, file system, Docker, Podman and Kubernetes pods
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2025-09-27 |
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fsl-sub
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public |
FSL Cluster Submission Script
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2025-09-27 |
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paraview
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public |
ParaView is an open-source, multi-platform data analysis and visualization application based on Visualization Toolkit (VTK).
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2025-09-27 |
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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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2025-09-27 |
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pymatgen-analysis-defects
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public |
Defect analysis modules for pymatgen
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2025-09-27 |
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eodag-server
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public |
Earth Observation Data Access Gateway
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2025-09-27 |
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eodag
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public |
Earth Observation Data Access Gateway
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2025-09-27 |
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psycopg-c
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public |
PostgreSQL database adapter for Python
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2025-09-27 |
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postgis
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public |
PostGIS adds geometry, geography, raster and other types to the PostgreSQL database.
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2025-09-27 |
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google-cloud-aiplatform
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public |
Vertex AI API client library
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2025-09-27 |
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alibabacloud-adb20211201
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public |
Alibaba Cloud adb (20211201) SDK Library for Python
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2025-09-27 |
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facebook_business
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public |
Facebook Business SDK
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2025-09-27 |
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python-blosc2
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public |
A fast & compressed ndarray library with a flexible computational engine.
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2025-09-27 |
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weaviate-client
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public |
A python native Weaviate client
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2025-09-27 |
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mg5amcnlo-pythia8-interface
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public |
Interface between MadGraph5_aMC@NLO and Pythia8
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2025-09-27 |
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r-rrum
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public |
Implementation of Gibbs sampling algorithm for Bayesian Estimation of the Reduced Reparameterized Unified Model ('rrum'), described by Culpepper and Hudson (2017) <doi: 10.1177/0146621617707511>.
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2025-09-27 |
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r-edina
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public |
Perform a Bayesian estimation of the exploratory deterministic input, noisy and gate (EDINA) cognitive diagnostic model described by Chen et al. (2018) <doi:10.1007/s11336-017-9579-4>.
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2025-09-27 |
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r-distr6
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public |
An R6 object oriented distributions package. Unified interface for 42 probability distributions and 11 kernels including functionality for multiple scientific types. Additionally functionality for composite distributions and numerical imputation. Design patterns including wrappers and decorators are described in Gamma et al. (1994, ISBN:0-201-63361-2). For quick reference of probability distributions including d/p/q/r functions and results we refer to McLaughlin, M. P. (2001). Additionally Devroye (1986, ISBN:0-387-96305-7) for sampling the Dirichlet distribution, Gentle (2009) <doi:10.1007/978-0-387-98144-4> for sampling the Multivariate Normal distribution and Michael et al. (1976) <doi:10.2307/2683801> for sampling the Wald distribution.
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2025-09-27 |
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fs.googledrivefs
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public |
Pyfilesystem2 implementation for Google Drive
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2025-09-27 |
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python-chromedriver-binary
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public |
Downloads and installs the chromedriver binary version
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2025-09-27 |
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r-neonutilities
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public |
Utilities for Working with NEON Data
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2025-09-27 |
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r-autoslider.core
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public |
The normal process of creating clinical study slides is that a statistician manually type in the numbers from outputs and a separate statistician to double check the typed in numbers. This process is time consuming, resource intensive, and error prone. Automatic slide generation is a solution to address these issues. It reduces the amount of work and the required time when creating slides, and reduces the risk of errors from manually typing or copying numbers from the output to slides. It also helps users to avoid unnecessary stress when creating large amounts of slide decks in a short time window.
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2025-09-27 |
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mcp
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public |
Model Context Protocol SDK
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2025-09-27 |
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openturns
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public |
Uncertainty treatment library
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2025-09-27 |
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r-terra
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public |
Methods for spatial data analysis with raster and vector data. Raster methods allow for low-level data manipulation as well as high-level global, local, zonal, and focal computation. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/terra/> to get started. 'terra' is very similar to the 'raster' package; but 'terra' can do more, is simpler to use, and it is faster.
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2025-09-27 |
