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.