Search Results for "pentest-lab"
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Showing 549 open source projects for "pentest-lab"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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Lab
Get up and running with Jenkins on Google Kubernetes Engine
The Lab repository is a hands-on tutorial and reference implementation that demonstrates how to build a complete continuous delivery pipeline using Kubernetes and Jenkins on Google Cloud. It walks developers through the process of automating software delivery by integrating source control, build systems, containerization, and deployment orchestration into a unified workflow. -
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Juggling Lab
Juggling Lab juggling animator
Juggling Lab is an open-source juggling simulation and animation software designed to visualize juggling patterns. It allows users to create, simulate, and analyze various juggling sequences, offering both 2D and 3D visualizations. Juggling Lab is highly customizable, supporting complex patterns and siteswap notation, making it a valuable tool for jugglers, performers, and enthusiasts looking to practice or study new routines. -
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DIO Lab
Repository for "Contributing to an Open Source Project on GitHub" lab
dio-lab-open-source is an educational repository created as part of the “Contributing to an Open Source Project” course offered by Digital Innovation One (DIO). The project serves as a practical learning environment where students can explore the fundamentals of contributing to open source software through GitHub. It provides hands-on experience with the Git workflow, including forking repositories, creating branches, submitting pull requests, and collaborating with other developers. ... -
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Bubble Lab
Open source workflow automation platform built for developers
Bubble Lab is an open-source workflow automation platform written with TypeScript that lets developers build, run, and control complex workflow logic as native, typed code rather than trapping users inside proprietary visual nodes or opaque formats. It provides a visual “bubble” editor paired with real TypeScript generation so workflows are human-readable, shareable, debuggable, and production-ready, giving teams the flexibility to treat automations like real software artifacts you can version and integrate into CI/CD pipelines. ... -
Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
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SLM Lab
Modular Deep Reinforcement Learning framework in PyTorch
SLM Lab is a modular and extensible deep reinforcement learning framework designed for research and practical applications. It provides implementations of various state-of-the-art RL algorithms and emphasizes reproducibility, scalability, and detailed experiment tracking. SLM Lab is structured around a flexible experiment management system, allowing users to define, run, and analyze RL experiments efficiently. -
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Habitat-Lab
A modular high-level library to train embodied AI agents
Habitat-Lab is a modular high-level library for end-to-end development in embodied AI. It is designed to train agents to perform a wide variety of embodied AI tasks in indoor environments, as well as develop agents that can interact with humans in performing these tasks. Allowing users to train agents in a wide variety of single and multi-agent tasks (e.g. navigation, rearrangement, instruction following, question answering, human following), as well as define novel tasks. -
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AI App Lab
Implementing large models into scenario-based applications
AI App Lab is an open-source platform developed by Volcengine that provides tools, SDKs, and example applications for building real-world AI applications powered by large language models. The project focuses on helping developers bridge the gap between AI models and practical business use cases by offering a structured environment for creating production-ready AI systems. -
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NVIDIA Isaac Lab
Unified framework for robot learning built on NVIDIA Isaac Sim
Isaac Lab is an open-source modular robotics learning framework built atop Isaac Sim. It simplifies research workflows across reinforcement learning, imitation learning, and motion planning by offering robust, GPU-accelerated simulation with realistic sensor and physics fidelity—ideal for sim-to-real robot training. Compatible and optimized for use with Isaac Sim versions (e.g., Sim 5.0 and 4.5). -
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Advanced Solutions Lab
This repos contains notebooks for the Advanced Solutions Lab
This repository contains Jupyter notebooks meant to be run on Vertex AI. This is maintained by Google Cloud’s Advanced Solutions Lab (ASL) team. Vertex AI is the next-generation AI Platform on the Google Cloud Platform. The material covered in this repo will take a software engineer with no exposure to machine learning to an advanced level. -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Database Lab Engine (DLE)
DLE provides blazing-fast database cloning to build dev environments
Thin PostgreSQL clones. DLE provides blazing-fast database cloning to build powerful development, test, QA, staging environments. Follow to stay updated. The Database Lab Engine is an open-source experimentation platform for PostgreSQL databases. Instantly create full-size clones of your production database and use them to test your database migrations, optimize SQL, or deploy full-size staging apps. The Database Lab Engine (DLE) runs on an independent server within your own infrastructure. The engine stores a single, full-size copy of production data on the specialized ZFS filesystem. ... -
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Ricks-Lab GPU Utilities
A set of utilities for monitoring and customizing GPU performance
A set of utilities for monitoring GPU performance and modifying control settings. In order to get the maximum capability of these utilities, you should be running with a kernel that provides support for the GPUs you have installed. If using AMD GPUs, installing the latest AMD GPU driver or ROCm package may provide additional capabilities. If you have Nvidia GPUs installed, you should have Nvidia-smi installed in order for the utility reading of the cards to be possible. Writing to GPUs is... -
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Internal All The Things
Active Directory and Internal Pentest Cheatsheets
...It covers a broad range of topics; AD certificate services, Kerberos attacks, lateral movement, tooling, post-exploitation techniques, and networking. The content is designed to help both learners and experienced red-teamers fill gaps in their internal pentest knowledge, especially for environments where AD and internal tooling dominate. Because internal engagements often have more complexity and fewer online guides compared to internet-facing web apps, this repo serves as a converging point for best practices, write-ups, and cheat sheets. The repository is structured, continuously updated, and encourages contributions, so its value grows over time. ... -
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nbcelltests
Cell-by-cell testing for production Jupyter notebooks in JupyterLab
...Note that you must have node.js installed (as for any lab extension). -
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eLabFTW
Open source electronic lab notebook for research labs
...Designed for scientific environments, the software provides a secure, browser-accessible platform where users can log protocols, results, and observations in structured records that replace traditional paper notebooks. Beyond simple experiment journaling, eLabFTW includes an inventory database for tracking lab materials, reagents, and equipment, making it a versatile tool for laboratory management. It also supports collaboration across teams, enabling multiple users to access shared records and streamline project workflows. The software features advanced search, tagging, timestamping, and export tools, which are essential for reproducibility and long-term project tracking. -
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PSLab Android App
PSLab Android App
...PSLab is a tiny pocket science lab that provides an array of equipment for doing science and engineering experiments. -
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Radegast
Lightweight client for connecting to Second Life and OpenSim
Radegast is a virtual world client compatible with Second Life and OpenSimulator. Its main purpose is to provide an alternative client to Linden Lab-derived virtual world viewers. There is a strong focus on accessibility and non-3D interaction. Given the current nature of changes in Second Life, I felt it was prudent to take on another abandoned text-focused viewer. Introducing MEGAbolt, a fork of the METAbolt viewer which was abandoned by its author almost eight years ago. Keep in mind, this is the first version and much has changed under the hood. ... -
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Mobile Verification Toolkit
Helps with conducting forensics of mobile devices
Mobile Verification Toolkit (MVT) is a collection of utilities to simplify and automate the process of gathering forensic traces helpful to identify a potential compromise of Android and iOS devices. It has been developed and released by the Amnesty International Security Lab in July 2021 in the context of the Pegasus project along with a technical forensic methodology and forensic evidence. MVT is a forensic research tool intended for technologists and investigators. Using it requires understanding the basics of forensic analysis and using command-line tools. This is not intended for end-user self-assessment. ... -
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Eagleye
Precise localization based on GNSS and IMU
...The flowchart of the algorithm is shown in the figure below. The algorithms in this software are based on the outcome of the research undertaken by the Machinery Information Systems Lab (Meguro Lab) at Meijo University. -
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Fast-Kubernetes
This repo covers Kubernetes with LABs: Kubectl, Pod, Deployment
...The content is organized as Markdown how-tos and cheat-sheets covering core objects and workflows — Pods, Deployments, Services, ConfigMaps, Secrets, PV/PVC, StatefulSets, DaemonSets, Jobs/CronJobs, Ingress, affinity/taints, and more — plus command-line kubectl quick references. It also includes end-to-end cluster setup guides (kubeadm with containerd or Docker, Minikube examples), Helm and CI/CD notes (Helm + Jenkins lab), and monitoring guidance with Prometheus & Grafana so learners can practice real operational tasks. Labs are written as short, reproducible exercises (imperative and declarative examples) designed for people who already know containers and want concrete, runnable Kubernetes practice. -
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HexStrike AI MCP Agents
HexStrike AI MCP Agents is an advanced MCP server
HexStrike AI is an MCP server that lets LLM agents autonomously operate a large catalog of offensive-security tools. Its goal is to bridge “language models” and practical pentest workflows—enumeration, exploitation, vulnerability discovery, and bug bounty reconnaissance—under safe, auditable controls. The server exposes typed tools and guardrails so agent prompts translate to concrete, parameterized actions rather than brittle shell strings. It ships with curated tool adapters, task orchestration, and guidance for connecting popular agent clients (Claude, GPT, Copilot) to a hardened execution environment. ... -
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ContainerSSH
ContainerSSH: Launch containers on demand
An SSH Server that Launches Containers in Kubernetes and Docker. Building a lab environment can be time-consuming. ContainerSSH solves this by providing dynamic SSH access with APIs, automatic cleanup on logout using ephemeral containers, and persistent volumes for storing data. Perfect for vendor and student labs. Provide production access to your developers, give them their usual tools while logging all changes. -
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AutoKeras
AutoML library for deep learning
AutoKeras: An AutoML system based on Keras. It is developed by DATA Lab at Texas A&M University. The goal of AutoKeras is to make machine learning accessible to everyone. AutoKeras only support Python 3. If you followed previous steps to use virtualenv to install tensorflow, you can just activate the virtualenv. Currently, AutoKeras is only compatible with Python >= 3.7 and TensorFlow >= 2.8.0. AutoKeras supports several tasks with extremely simple interface. -
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Basic Pitch
A lightweight audio-to-MIDI converter with pitch bend detection
Basic Pitch is a Python library for Automatic Music Transcription (AMT), using lightweight neural network developed by Spotify's Audio Intelligence Lab. It's small, easy-to-use, pip install-able and npm install-able via its sibling repo. Basic Pitch may be simple, but it's is far from "basic"! basic-pitch is efficient and easy to use, and its multi pitch support, its ability to generalize across instruments, and its note accuracy compete with much larger and more resource-hungry AMT systems. ... -
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Best-of Jupyter
A ranked list of awesome Jupyter Notebook, Hub and Lab projects
This curated list contains 300 awesome open-source projects with a total of 360K stars grouped into 13 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml.
