A tool designed for consistent and safe capture of off network web resources.
- network-defense
- security-tools
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A tool designed for consistent and safe capture of off network web resources.
Turn CSV, Excel, and read-only databases into verified, editable business reports.
Website to Scrapping all writeup from http://ctftime.org/ and you can organize which to read first!
Downloads JMeter and JMeter plugins and demonstrates usage via examples. Suggested to be used as a git submodule
WebSocket support for pyramid
Network probing tool crafted for datacenters (but not only)
Generate your license. Yet another lice, but implement with Jinja2 and docopt.
💬 Trace citation chains for any concept across research papers and render them as an interactive graph.
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
Practical security policy enforcement for Android apps via bytecode rewriting and in-place reference monitor
lightweight GUI package manager + update notifier (with full AUR support) for Arch Linux, originally by Bob Henry Pirkle
Lite version of PDF X-RAY that uses no backend
Estimate the phonetic distance between Chinese words and get similar sounding candidate words.
The repository host gives no description.
MicroPython based ESP WiFi Manager
MicroPython driver for 74HC595 shift registers
MicroPython driver for the MLX90614 IR temperature sensor
Wagtail Meta Preview provides panels for previewing Facebook sharing, Twitter sharing and Google search results in the Wagtail admin.
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
AWSDoor is a red team automation tool designed to simulate advanced attacker behavior in AWS environments
The Scenario Architect provides a lightweight graphical user interface that allows a straightforward realization and manipulation of concrete driving testing scenarios. Exemplary usecases are the validation of an online verification framework or training of an prediction algorithm.
Sarus implementation of classical ML models. The models are implemented using the Keras API of tensorflow 2. Vizualization are implemented and can be seen in tensorboard.
Create dataset for suricata with indicators of MISP instances and add sightings in MISP if an indicator of dataset generates an alert
A lightweight, zero-dependency TUI dashboard for managing Docker containers and images dynamically in the terminal.