python3-ibeacon-ble

parser for iBeacon devices

This package provides a parser for iBeacon devices.

r-cran-fitdistrplus

support fit of parametric distribution

Extends the fitdistr() function (of the MASS package) with several functions to help the fit of a parametric distribution to non-censored or censored data. Censored data may contain left censored, right censored and interval censored values, with several lower and upper bounds. In addition to maximum likelihood estimation (MLE), the package provides moment matching (MME), quantile matching (QME) and maximum goodness-of-fit estimation (MGE) methods (available only for non-censored data). Weighted versions of MLE, MME and QME are available. See e.g. Casella & Berger (2002). Statistical inference. Pacific Grove.

sslsniff

SSL/TLS man-in-the-middle attack tool

sslsniff is designed to create man-in-the-middle (MITM) attacks for SSL/TLS connections, and dynamically generates certs for the domains that are being accessed on the fly. The new certificates are constructed in a certificate chain that is signed by any certificate that is provided. sslsniff also supports other attacks like null-prefix or OCSP attacks to achieve silent interceptions of connections when possible.

utrans-rc

Generate generic unix system configuration from systemd units

includes utrans-rc, a wrapper around utrans to convert systemd units to generic unix configuration files. The generated files are installed and activated using sudo and ucf whilst preserving user modifications and avoiding overwriting files belonging to other packages.

gir1.2-javascriptcoregtk-4.1

JavaScript engine library from WebKitGTK - GObject introspection data

JavaScriptCore is the JavaScript engine used in WebKit. It consists of the following building blocks: lexer, parser, start-up interpreter (LLInt), baseline JIT, a low-latency optimizing JIT (DFG), and a high-throughput optimizing JIT (FTL).

r-cran-broom.mixed

GNU R tidying methods for mixed models

Convert fitted objects from various R mixed-model packages into tidy data frames along the lines of the 'broom' package. The package provides three S3 generics for each model: tidy(), which summarizes a model's statistical findings such as coefficients of a regression; augment(), which adds columns to the original data such as predictions, residuals and cluster assignments; and glance(), which provides a one-row summary of model-level statistics.