r-cran-distributional
GNU R vectorised probability distributions
Vectorised distribution objects with tools for manipulating,
visualising, and using probability distributions. Designed to allow model
prediction outputs to return distributions rather than their parameters,
allowing users to directly interact with predictive distributions in a
data-oriented workflow. In addition to providing generic replacements for
p/d/q/r functions, other useful statistics can be computed including means,
variances, intervals, and highest density regions.
python3-sepaxml
Python library to generate SEPA XML files
The SEPA format is used in most of Europe for unified bank transactions.
The following standards are supported:
SEPA PAIN.001.001.03, SEPA PAIN.001.003.03, SEPA PAIN.008.001.02,
SEPA PAIN.008.002.02 and SEPA PAIN.008.003.02 .
libbisect-ppx-ocaml
Code coverage for OCaml and ReScript (runtime files)
Bisect-ppx helps you test thoroughly. It is a small preprocessor
that inserts instrumentation at places in your code, such as if-then-else and
match expressions. After you run tests, Bisect_ppx gives a nice HTML report
showing which places were visited and which were missed.
raku-json-optin
Raku trait and role to identify opt-in JSON serialization
This Raku package provides a trait and a role for the identification of
'opt in' serialisiable attributes in, for example, JSON::Marshal.
libmate-window-settings1t64
utilities to configure the MATE desktop (window settings library)
The MATE control center contains configuration applets for the MATE desktop,
allowing to set accessibility configuration, desktop fonts, keyboard
and mouse properties, sound setup, desktop theme and background, user
interface properties, screen resolution, and other MATE parameters.
python3-shelxfile
read and write SHELXL syntax files (Python 3)
This is a full implementation of the SHELXL file syntax. Additionally it is
able to edit SHELX properties using Python. The implementation is Python3-only
and supports SHELXL after 2017.