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bayesmbar
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public |
Bayesian Multistate Bennett Acceptance Ratio Method
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2025-09-25 |
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configurable-http-proxy
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public |
node-http-proxy plus a REST API
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2025-09-25 |
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s2n-static
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public |
an implementation of the TLS/SSL protocols
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2025-09-25 |
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s2n
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public |
an implementation of the TLS/SSL protocols
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2025-09-25 |
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typos
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public |
Source code spell checker
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2025-09-25 |
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pyncview
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public |
NetCDF viewer written in Python
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2025-09-25 |
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montreal-forced-aligner
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public |
Forced aligner for speech to text alignment
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2025-09-25 |
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libdydx_v4_proto-headers
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public |
The dYdX Chain Protocol used for placing transactions and querying the dYdX chain.
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2025-09-25 |
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libdydx_v4_proto
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public |
The dYdX Chain Protocol used for placing transactions and querying the dYdX chain.
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2025-09-25 |
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fundamentals
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public |
Some fundamental tools required by most self-respecting python-packages bundled in one place. Very opinionated project setup tools including logging, plain-text settings files and database connections.
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2025-09-25 |
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pylance
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public |
python wrapper for Lance columnar format
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2025-09-25 |
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aioftp
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public |
FTP client/server for Python asyncio
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2025-09-25 |
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r-rphylopars
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public |
Tools for performing phylogenetic comparative methods for datasets with with multiple observations per species (intraspecific variation or measurement error) and/or missing data (Goolsby et al. 2017). Performs ancestral state reconstruction and missing data imputation on the estimated evolutionary model, which can be specified as Brownian Motion, Ornstein-Uhlenbeck, Early-Burst, Pagel's lambda, kappa, or delta, or a star phylogeny.
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2025-09-25 |
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r-hillr
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public |
Calculate taxonomic, functional and phylogenetic diversity measures through Hill Numbers proposed by Chao, Chiu and Jost (2014) <doi:10.1146/annurev-ecolsys-120213-091540>.
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2025-09-25 |
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bmad
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public |
Bmad is an object oriented, open source, subroutine library for relativistic charged-particle dynamics simulations in accelerators and storage rings.
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2025-09-25 |
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r-sccustomize
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public |
Collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using 'R'. 'scCustomize' aims to provide 1) Customized visualizations for aid in ease of use and to create more aesthetic and functional visuals. 2) Improve speed/reproducibility of common tasks/pieces of code in scRNA-seq analysis with a single or group of functions. For citation please use: Marsh SE (2021) "Custom Visualizations & Functions for Streamlined Analyses of Single Cell Sequencing" <doi:10.5281/zenodo.5706430> RRID:SCR_024675.
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2025-09-25 |
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r-taxonomycleanr
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public |
Resolves user supplied taxonomy data against a taxonomic authority, retrieves taxonomic serial numbers, updates users data, and creates the taxonomicCoverage metadata element in the Ecological Metadata Language (EML).
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2025-09-25 |
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cccl-python
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public |
Python interfaces to CUDA Core Compute Libraries (CCCL)
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2025-09-25 |
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r-treesim
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public |
Simulation methods for phylogenetic trees where (i) all tips are sampled at one time point or (ii) tips are sampled sequentially through time. (i) For sampling at one time point, simulations are performed under a constant rate birth-death process, conditioned on having a fixed number of final tips (sim.bd.taxa()), or a fixed age (sim.bd.age()), or a fixed age and number of tips (sim.bd.taxa.age()). When conditioning on the number of final tips, the method allows for shifts in rates and mass extinction events during the birth-death process (sim.rateshift.taxa()). The function sim.bd.age() (and sim.rateshift.taxa() without extinction) allow the speciation rate to change in a density-dependent way. The LTT plots of the simulations can be displayed using LTT.plot(), LTT.plot.gen() and LTT.average.root(). TreeSim further samples trees with n final tips from a set of trees generated by the common sampling algorithm stopping when a fixed number m>>n of tips is first reached (sim.gsa.taxa()). This latter method is appropriate for m-tip trees generated under a big class of models (details in the sim.gsa.taxa() man page). For incomplete phylogeny, the missing speciation events can be added through simulations (corsim()). (ii) sim.rateshifts.taxa() is generalized to sim.bdsky.stt() for serially sampled trees, where the trees are conditioned on either the number of sampled tips or the age. Furthermore, for a multitype-branching process with sequential sampling, trees on a fixed number of tips can be simulated using sim.bdtypes.stt.taxa(). This function further allows to simulate under epidemiological models with an exposed class. The function sim.genespeciestree() simulates coalescent gene trees within birth-death species trees, and sim.genetree() simulates coalescent gene trees.
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2025-09-25 |
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xeus-r
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public |
R kernel for Jupyter based on xeus
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2025-09-25 |
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xeus-octave
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public |
Xeus kernel for Octave
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2025-09-25 |
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xmlplot
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public |
Python package for coordinate-aware data reading and plotting
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2025-09-25 |
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qiskit-ibm-runtime
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public |
IBM Quantum client for Qiskit Runtime.
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2025-09-25 |
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lint-staged
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public |
Run linters on git staged files
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2025-09-25 |
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opencosmo
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public |
The OpenCosmo Python Toolkit
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2025-09-25 |
