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input4mips-validation
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public |
Validation of input4MIPs data (checking file formats, metadata etc.).
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2025-10-01 |
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input4mips-validation-locked
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public |
Validation of input4MIPs data (checking file formats, metadata etc.).
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2025-10-01 |
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slepc4py
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public |
Python bindings for SLEPc
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2025-10-01 |
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bioimageio.spec
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public |
Parser and validator library for BioImage.IO specifications
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2025-10-01 |
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pydantic-core
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public |
Core validation logic for pydantic written in rust
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2025-10-01 |
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libsemigroups
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public |
C++ library for semigroups and monoids
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2025-10-01 |
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euporie
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public |
Euporie is a suite of terminal applications for interacting with Jupyter kernels
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2025-10-01 |
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geographiclib-cpp
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public |
A small C++ library for geographic conversions
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2025-10-01 |
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evalica
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public |
Evalica, your favourite evaluation toolkit.
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2025-10-01 |
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qt6-graphs
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public |
Qt is a cross-platform application and UI framework.
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2025-10-01 |
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octave
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public |
GNU Octave is a high-level language, primarily intended for numerical computations
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2025-10-01 |
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pcmdi_metrics
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public |
The PCMDI metrics package is used to objectively compare results from climate models with observations using well-established statistical tests. Results are produced in the context of all model simulations contributed to CMIP5 and earlier CMIP phases. Among other purposes, this enables modeling groups to evaluate changes during the development cycle in the context of the structural error distribution of the multi-model ensemble. Currently, the comparisons are focused on large- to global-scale annual cycle performance metrics.
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2025-10-01 |
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amrex
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public |
A software framework for massively parallel, block-structured adaptive mesh refinement (AMR) applications
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2025-10-01 |
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databricks-cli
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public |
A command line interface for Databricks
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2025-10-01 |
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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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2025-10-01 |
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impactx
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public |
ImpactX enables high-performance modeling of beam dynamics in particle accelerators with collective effects.
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2025-10-01 |
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cylc-uiserver-base
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public |
Cylc UI Server
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2025-10-01 |
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cylc-uiserver-hub-base
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public |
Cylc UI Server
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2025-10-01 |
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cylc-uiserver
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public |
Cylc UI Server
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2025-10-01 |
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spiceypy
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public |
The NASA JPL NAIF SPICE toolkit wrapper written in Python
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2025-10-01 |
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r-spdep
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public |
A collection of functions to create spatial weights matrix objects from polygon 'contiguities', from point patterns by distance and tessellations, for summarizing these objects, and for permitting their use in spatial data analysis, including regional aggregation by minimum spanning tree; a collection of tests for spatial 'autocorrelation', including global 'Morans I' and 'Gearys C' proposed by 'Cliff' and 'Ord' (1973, ISBN: 0850860369) and (1981, ISBN: 0850860814), 'Hubert/Mantel' general cross product statistic, Empirical Bayes estimates and 'Assunção/Reis' (1999) <doi:10.1002/(SICI)1097-0258(19990830)18:16%3C2147::AID-SIM179%3E3.0.CO;2-I> Index, 'Getis/Ord' G ('Getis' and 'Ord' 1992) <doi:10.1111/j.1538-4632.1992.tb00261.x> and multicoloured join count statistics, 'APLE' ('Li 'et al.' ) <doi:10.1111/j.1538-4632.2007.00708.x>, local 'Moran's I', 'Gearys C' ('Anselin' 1995) <doi:10.1111/j.1538-4632.1995.tb00338.x> and 'Getis/Ord' G ('Ord' and 'Getis' 1995) <doi:10.1111/j.1538-4632.1995.tb00912.x>, 'saddlepoint' approximations ('Tiefelsdorf' 2002) <doi:10.1111/j.1538-4632.2002.tb01084.x> and exact tests for global and local 'Moran's I' ('Bivand et al.' 2009) <doi:10.1016/j.csda.2008.07.021> and 'LOSH' local indicators of spatial heteroscedasticity ('Ord' and 'Getis') <doi:10.1007/s00168-011-0492-y>. The implementation of most of the measures is described in 'Bivand' and 'Wong' (2018) <doi:10.1007/s11749-018-0599-x>. From 'spdep' and 'spatialreg' versions >= 1.2-1, the model fitting functions previously present in this package are defunct in 'spdep' and may be found in 'spatialreg'.
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2025-10-01 |
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hpfrec
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public |
Hierarchical Poisson matrix factorization for recommender systems
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2025-10-01 |
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biom-format
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public |
Biological Observation Matrix (BIOM) format
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2025-10-01 |
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django
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public |
A high-level Python Web framework that encourages rapid development and clean, pragmatic design.
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2025-10-01 |
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ui5-cli
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public |
UI5 Tooling: CLI
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2025-10-01 |
