lfortran

Modern interactive LLVM-based Fortran compiler

LFortran is a modern open-source (BSD licensed) interactive Fortran compiler built on top of LLVM. It can execute user’s code interactively to allow exploratory work (much like Python, MATLAB or Julia) as well as compile to binaries with the goal to run user’s code on modern architectures such as multi-core CPUs and GPUs.

node-tldts

JavaScript library to extract fields from URLs

node-tldts is a JavaScript library to extract hostnames, domains, public suffixes, top-level domains and subdomains from URLs.

python3-jupyter-events

Configurable event system for Jupyter applications and extensions.

Jupyter Events is a configurable event system that enables Jupyter Python Applications (e.g. Jupyter Server, JupyterLab Server, JupyterHub, etc.) to emit events-structured data describing things happening inside the application. Other software (e.g. client applications like JupyterLab) can listen and respond to these events.

libayatana-appindicator-glib2

Ayatana Application Indicators (Glib-2.0-only reimplementation)

A library and indicator to take menus from applications and place them in the panel.

lib1305-1

Poly1305 one-time authenticator microlibrary - shared library

lib1305 is a microlibrary for the Poly1305 one-time authenticator.

r-bioc-mofa2

Multi-Omics Factor Analysis v2

The MOFA2 package contains a collection of tools for training and analysing multi-omic factor analysis (MOFA). MOFA is a probabilistic factor model that aims to identify principal axes of variation from data sets that can comprise multiple omic layers and/or groups of samples. Additional time or space information on the samples can be incorporated using the MEFISTO framework, which is part of MOFA2. Downstream analysis functions to inspect molecular features underlying each factor, vizualisation, imputation etc are available.