|
pyqtads
|
public |
Advanced Docking System for Qt
|
2025-10-06 |
|
clang-format-21
|
public |
Development headers and libraries for Clang
|
2025-10-06 |
|
libclang-cpp21.1
|
public |
Development headers and libraries for Clang
|
2025-10-06 |
|
fluidsynth
|
public |
Real-time software synthesizer based on the SoundFont 2 specs
|
2025-10-06 |
|
tifffile
|
public |
Read and write image data from and to TIFF files.
|
2025-10-06 |
|
python-clang
|
public |
Development headers and libraries for Clang
|
2025-10-06 |
|
tcmarkers
|
public |
Matplotib paths for Tropical Storm and Hurricane symbols
|
2025-10-06 |
|
publint
|
public |
Lint packaging errors
|
2025-10-06 |
|
pytest-robotframework
|
public |
A pytest plugin that can run both python and robotframework tests while generating robot reports for them.
|
2025-10-06 |
|
r-popgenreport
|
public |
Provides beginner friendly framework to analyse population genetic data. Based on 'adegenet' objects it uses 'knitr' to create comprehensive reports on spatial genetic data. For detailed information how to use the package refer to the comprehensive tutorials or visit <http://www.popgenreport.org/>.
|
2025-10-06 |
|
pymomentum-cpu
|
public |
A library for human kinematic motion and numerical optimization solvers to apply human motion
|
2025-10-06 |
|
pymomentum
|
public |
A library for human kinematic motion and numerical optimization solvers to apply human motion
|
2025-10-06 |
|
momentum-cpp
|
public |
A library for human kinematic motion and numerical optimization solvers to apply human motion
|
2025-10-06 |
|
momentum
|
public |
A library for human kinematic motion and numerical optimization solvers to apply human motion
|
2025-10-06 |
|
types-docutils
|
public |
Typing stubs for docutils
|
2025-10-06 |
|
notebook_intelligence
|
public |
Notebook Intelligence extension for JupyterLab
|
2025-10-06 |
|
pymomentum-gpu
|
public |
A library for human kinematic motion and numerical optimization solvers to apply human motion
|
2025-10-06 |
|
dmlc
|
public |
Distributed Machine Learning Common Codebase
|
2025-10-06 |
|
ticker
|
public |
Terminal stock ticker with live updates and position tracking
|
2025-10-06 |
|
r-stampp
|
public |
Allows users to calculate pairwise Nei's Genetic Distances (Nei 1972), pairwise Fixation Indexes (Fst) (Weir & Cockerham 1984) and also Genomic Relationship matrixes following Yang et al. (2010) in mixed and single ploidy populations. Bootstrapping across loci is implemented during Fst calculation to generate confidence intervals and p-values around pairwise Fst values. StAMPP utilises SNP genotype data of any ploidy level (with the ability to handle missing data) and is coded to utilise multithreading where available to allow efficient analysis of large datasets. StAMPP is able to handle genotype data from genlight objects allowing integration with other packages such adegenet. Please refer to LW Pembleton, NOI Cogan & JW Forster, 2013, Molecular Ecology Resources, 13(5), 946-952. <doi:10.1111/1755-0998.12129> for the appropriate citation and user manual. Thank you in advance.
|
2025-10-06 |
|
r-mmod
|
public |
Provides functions for measuring population divergence from genotypic data.
|
2025-10-06 |
|
r-rxode2
|
public |
Facilities for running simulations from ordinary differential equation ('ODE') models, such as pharmacometrics and other compartmental models. A compilation manager translates the ODE model into C, compiles it, and dynamically loads the object code into R for improved computational efficiency. An event table object facilitates the specification of complex dosing regimens (optional) and sampling schedules. NB: The use of this package requires both C and Fortran compilers, for details on their use with R please see Section 6.3, Appendix A, and Appendix D in the "R Administration and Installation" manual. Also the code is mostly released under GPL. The 'VODE' and 'LSODA' are in the public domain. The information is available in the inst/COPYRIGHTS.
|
2025-10-06 |
|
r-adespatial
|
public |
Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the use of a spatial weighting matrix and its eigenvector decomposition (Moran's Eigenvectors Maps, MEM). Several approaches are described in the review Dray et al (2012) <doi:10.1890/11-1183.1>.
|
2025-10-06 |
|
geoai-py
|
public |
A Python package for integrating Artificial Intelligence with geospatial data analysis and visualization
|
2025-10-06 |
|
geoai
|
public |
A Python package for integrating Artificial Intelligence with geospatial data analysis and visualization
|
2025-10-06 |
