Open-source alternatives to Prometheus

Gobot is a robotics framework for the Go programming language designed for developing robotics, drones, and IoT applications. It provides a hardware abstraction layer with standardized drivers to interact with GPIO, I2C, SPI, and PWM interfaces across various single-board computers and microcontrollers. The framework functions as an IoT device orchestrator and BLE device manager, enabling the coordination of multiple sensors, actuators, and Bluetooth Low Energy peripherals. It includes specialized interfaces for drone control, allowing for the management of flight maneuvers and video streams

ArduPilot is an autonomous vehicle autopilot software platform designed to manage navigation, stabilization, and mission execution for aerial, ground, and marine vehicles. It functions as a comprehensive flight controller that utilizes a real-time operating system kernel to manage concurrent control loops, sensor fusion, and state-based logic for diverse operational modes. The system distinguishes itself through a modular hardware abstraction layer that decouples navigation logic from specific sensor drivers and microcontroller architectures. It employs a message-oriented telemetry protocol t

Rotors Simulator is a physics-based simulation framework designed for testing multirotor unmanned aerial vehicles and their control algorithms within a virtual environment. It models aerial vehicle movement, rotor thrust, and aerodynamic interactions by computing individual motor speeds directly to apply thrust and torque forces to rigid body dynamics. Aircraft kinematics, visual meshes, and sensor attachment points are described declaratively using unified robot description format files. The environment integrates dynamic models and aerodynamic forces through native runtime plugins while coo

PythonRobotics is a comprehensive collection of modular robotics algorithms and educational simulations designed for autonomous navigation, state estimation, and motion control. The project provides a library of standalone implementations for path planning, localization, mapping, and kinematics, serving as a resource for researchers and students to experiment with foundational and advanced robotic theories. The project distinguishes itself through an algorithm-centric design where each module functions as an isolated script, allowing for independent testing and clear pedagogical demonstration

iNAV is flight control firmware designed to manage the stability, movement, and flight dynamics of multirotors, fixed-wing aircraft, and rovers. It serves as an autonomous flight controller and GPS navigation software capable of executing waypoint missions and maintaining position and altitude hold. The system integrates GPS and compass data to enable autonomous navigation and automatic return to home sequences during signal loss or sensor failure. It includes an on-screen display generator to render real-time vehicle status and warnings directly onto a pilot video feed, alongside a flight te

This project is a robotics engineering knowledge base and learning curriculum. It serves as a structured collection of academic courses, textbooks, and technical guides for studying robotics, kinematics, and control systems. The repository functions as a hardware resource guide and prototyping directory. It provides a curated set of tutorials and setup manuals for microcontrollers, alongside DIY build guides and software tools for designing robot arms, drones, and mechanical simulators. The content covers a broad technical surface, including embedded systems learning, robot software tooling

The Open-Source Rover Platform is a hardware and software framework for building and controlling six-wheel planetary exploration rovers. It provides a six-wheel robot chassis and a modular robotics framework designed for integrating various motors, wheel sizes, and chassis materials. The platform features a six-wheel chassis equipped with a differential pivot suspension and an Ackerman steering mechanism to enable navigation across rugged outdoor terrain. Control is managed through a communication system that connects central processors to hardware via Bluetooth, WiFi, or USB for remote opera

PathPlanning is a library of animated path planning algorithms that includes implementations of A-star, Dijkstra, RRT, and spline-based trajectory generation for both 2D and 3D environments. The project provides a collection of motion planning algorithms that demonstrate how robots can find collision-free paths through continuous spaces, with each algorithm rendered as a step-by-step visual animation to show how the search or tree grows over time. The library covers three main categories of path planning: sampling-based methods like RRT, RRT-star, and BIT-star that grow trees by randomly samp

Ego-planner-swarm is an autonomous drone swarm trajectory planner and decentralized multi-agent navigation system. It provides algorithmic software tools for calculating collision-free movement paths for single or multiple multicopters using decentralized onboard computing and local peer communication without relying on central ground stations or servers. The software encompasses algorithmic components for drone motion planning, including asynchronous background replanning loops that adapt flight paths immediately to newly perceived obstacles or moving agents. Movement paths are represented

This project is a comprehensive software framework for autonomous robot navigation, providing a collection of algorithms for path planning, motion control, and trajectory generation. It serves as a toolkit for implementing and researching navigation logic, enabling the calculation of collision-free routes and the execution of precise movement commands for autonomous mobile agents. The library distinguishes itself by integrating both global pathfinding and real-time reactive control strategies. It supports diverse planning methodologies, including graph-based heuristic searches and sampling-ba

This project is a comprehensive library and framework for autonomous mobile robot navigation, providing a suite of geometric, heuristic, and optimization-based algorithms. It enables robots to calculate collision-free global paths and generate smooth, kinematically feasible local trajectories within complex environments. The system is built on a modular plugin architecture that allows developers to integrate and configure custom motion planning algorithms directly into the Robot Operating System. By utilizing a layered spatial representation, the framework aggregates heterogeneous sensor data

This project is a machine learning educational repository providing a collection of implementations and guides for machine learning and deep learning algorithms. It serves as a deep learning model library and a reference for training workflows, covering foundational machine learning, convolutional, recurrent, and transformer architectures. The collection includes a generative adversarial network suite for synthesizing realistic images and performing image-to-image translation. It also functions as a computer vision implementation guide for object detection and semantic segmentation, alongside

This library is a comprehensive toolkit for autonomous robot navigation and multi-agent motion coordination. It provides a framework for calculating collision-free movement trajectories, enabling multiple robots to operate within shared environments while maintaining efficient and safe paths. The project distinguishes itself by supporting both global and decentralized control strategies. It offers global coordination techniques that resolve path conflicts across entire workspaces to ensure unified group movement, alongside decentralized methods that allow individual agents to react dynamicall

OpenMower is an autonomous lawn mower controller and firmware system that uses high-precision RTK GPS to navigate robotic mowers without the need for physical boundary wires. It functions as a GPS-based path planner and hardware management system that converts manual machines into autonomous units. The project includes a remote management application for monitoring and controlling mowers via a web or mobile interface. It integrates an obstacle avoidance system and safety layers that execute emergency stops when the device is lifted or crashes. The system manages robotic hardware through firm

This project is a PyTorch-based framework and toolkit for scene text recognition. It provides a deep learning pipeline for extracting characters and words from images of natural environments, covering the full process from training data preparation to model validation. The framework functions as a standardized benchmark for measuring the accuracy and inference speed of text recognition models. It includes tools for calculating recognition accuracy and measuring GPU processing time per image to evaluate model performance across consistent datasets. The system incorporates visual and sequentia

Navigation2 is a ROS 2 navigation framework for autonomous mobile robots. It provides the core identity of a path planner, costmap management system, kinematic motion controller, and behavior tree orchestrator to compute collision-free routes and execute movement commands. The framework is distinguished by its use of behavior trees to coordinate modular task servers, enabling complex navigation routines and autonomous recovery actions. It supports a plugin-based architecture that allows planners and controllers to be swapped at runtime to adapt to different environments. The system covers a

This project is a Python-based game automation bot and computer vision assistant designed to automate gameplay on Android devices. It functions as a controller that identifies game elements via pixel color scanning and simulates touch inputs to execute gameplay without manual intervention. The system distinguishes itself through the use of anti-detection measures, implementing interaction coordinate management and timing offsets to avoid being flagged by security systems. It also employs resolution-dependent scaling coefficients to maintain jump accuracy across different device screen sizes.

This project is a biomedical image segmentation framework and PyTorch computer vision library. It provides a deep learning pipeline for isolating specific anatomical structures within medical imagery using pixel-level binary classification. The system utilizes an encoder-decoder neural architecture combined with attention-based feature refinement to highlight relevant anatomical regions and suppress background noise. The toolkit covers a full training workflow, including stochastic data augmentation for biomedical datasets, hyperparameter optimization, and model persistence for restoring pre

This project is a collection of deep learning courseware and instructional materials. It provides a structured curriculum and practical demonstrations covering the fundamentals of neural network architectures and artificial intelligence. The materials include specialized tutorials and guides on generative adversarial networks for synthetic data generation, as well as reinforcement learning resources focused on decision-making and motion planning for autonomous robotics. The content covers broad capability areas including computer vision development, the implementation of feed-forward and con

AzurLaneAutoScript is a mobile game automation system designed to perform repetitive gameplay tasks unattended. It functions as a screenshot-driven bot that controls Android devices, emulators, and cloud phones via ADB and uiautomator2, using computer vision to make interaction decisions instead of fixed timers. The project distinguishes itself through an advanced computer vision suite that includes local optical character recognition and perspective-aware grid detection. These tools allow the bot to parse 3D game maps, compute vanishing points, and normalize grid-centered objects for precise

QGroundControl is a desktop ground control station application that communicates with drones using the MAVLink protocol. It serves as a central interface for controlling both manual and autonomous flight operations, monitoring real-time telemetry, and managing vehicle configurations for compatible UAV platforms. The application provides a comprehensive mission planning environment with an interactive map-based editor for designing autonomous flight paths and waypoint sequences. It includes tools for flight controller configuration and sensor calibration, supporting both PX4 and ArduPilot plat

SynapseML is an Apache Spark machine learning library designed for building and scaling machine learning workflows and data pipelines across distributed clusters. It serves as a distributed machine learning pipeline framework and a distributed inference engine for executing hardware-accelerated predictions and deep learning tasks on large-scale datasets. The project functions as a cloud AI integration layer, allowing users to apply pretrained artificial intelligence services for text, vision, and speech within distributed pipelines. It also includes a dedicated suite of tools for distributed

This is a collection of tutorials and practical demonstrations for implementing machine learning tasks using the HuggingFace Transformers library. It serves as a guide for applying transformer architectures across computer vision, natural language processing, and audio analysis. The repository provides implementation examples for multimodal model deployment, including the combination of text, image, and audio inputs. It includes resources for optimizing pre-trained models through fine-tuning on custom datasets and provides examples for preparing PyTorch datasets by converting raw files into t

This project is a Python wrapper for the OpenCV computer vision library, providing a bridge that exposes high-performance C++ functions to the Python programming language. It serves as a collection of tools for real-time image processing, object detection, and machine learning on visual data. The project provides precompiled binary distributions, allowing for the integration of vision capabilities into Python applications without requiring a local C++ compiler. It offers multi-variant package distributions, including headless versions designed for server or cloud environments where a graphica

OnmyojiAutoScript is an ADB-based Android game automation tool that utilizes image recognition to automate daily routines and resource farming. It functions as a computer vision bot and emulator controller, coordinating simultaneous task execution across multiple user profiles and ports. The system features a game resource optimizer that uses efficiency models to intelligently distribute in-game items and assets across characters. To bypass automated detection, it employs an anti-detection input simulator that mimics human interaction patterns through variable click and swipe behaviors. The

OpenCat-Quadruped-Robot is a development framework and motion control API for building four-legged robots. It provides a comprehensive environment for quadruped robot development, featuring tools for locomotion gait design, inverse kinematics, and a layered control architecture that separates high-level intelligence from low-level motion. The project distinguishes itself as an embedded AI deployment tool, allowing users to train, quantize, and deploy machine learning models to vision modules for tasks such as object detection and visual target tracking. It further supports complex human-robot

Navigation2 is a navigation stack for ROS 2 designed for autonomous robot navigation. It provides a framework for computing optimal paths from a starting position to a goal while avoiding static and dynamic obstacles. The system utilizes a behavior tree orchestrator to coordinate complex navigation tasks and trigger recovery actions. Its architecture is plugin-based, allowing planners, controllers, and costmap layers to be swapped at runtime without recompiling the core system. The project covers path planning, motion control, and environmental mapping. It generates occupancy grids and costm