nnn
Free, fast, friendly file manager
nnn is a fork of noice, a blazing-fast lightweight terminal file manager
with easy keyboard shortcuts for navigation, opening files and running tasks.
nnn toppings
tclxapian
Xapian search engine interface for Tcl
This package provides Xapian Tcl bindings which should work with any version
of Tcl >= 8.1 (by using Tcl's stubs mechanism.)
osmo-bts
Base Transceiver Station for GSM
OsmoBTS is a software implementation of Layer2/3 of a BTS. It implements the
following protocols/interfaces:
LAPDm (GSM 04.06)
RTP
A-bis/IP in IPA multiplex
OML (GSM TS 12.21)
RSL (GSM TS 08.58)
r-cran-future
R package: A Future API for R
In programming, a future is an abstraction for a value that may be available
at some point in the future. The state of a future can either be unresolved or
resolved. As soon as it is resolved, the value is available. Futures are
useful constructs in for instance concurrent evaluation, e.g. parallel
processing and distributed processing on compute clusters. The purpose of this
package is to provide a lightweight interface for using futures in R.
r-cran-stringi
GNU R character string processing facilities
Allows for fast, correct, consistent, portable, as well as convenient
character string/text processing in every locale and any native
encoding. Owing to the use of the ICU library, the package provides R
users with platform-independent functions known to Java, Perl, Python,
PHP, and Ruby programmers. Among available features there are: pattern
searching (e.g. via regular expressions), random string generation,
string collation, transliteration, concatenation, date-time formatting
and parsing, etc.
r-cran-parallelly
GNU R enhancing the 'parallel' package
Utility functions that enhance the 'parallel' package and support the
built-in parallel backends of the 'future' package. For example,
availableCores() gives the number of CPU cores available to your R
process as given by R options and environment variables, including those
set by job schedulers on high-performance compute clusters. If none is
set, it will fall back to parallel::detectCores(). Another example is
makeClusterPSOCK(), which is backward compatible with
parallel::makePSOCKcluster() while doing a better job in setting up
remote cluster workers without the need for configuring the firewall to
do port-forwarding to your local computer.