Showing 561-580 of 2,835 projects
A 30-day DIY project to create a custom operating system (OSASK) using C and QEMU.
A photo-management system with a great look and easy-to-use interface.
Pixie is an instant Kubernetes-native application observability platform that provides deep insights into your running applications.
A progressive microservices framework for building scalable and resilient Node.js applications.
A flexible, high-performance serving system for deploying and managing machine learning models.
Smile is a comprehensive statistical machine learning and data science library for Java developers.
Pachyderm is a data-centric pipeline and data versioning platform for building and scaling data-intensive applications.
An OS-level memory layer for large language models, AI agents, and multi-agent systems with long-term, working, and external memory.
Open-source motion capture system using computer vision to track body movement and skeleton data.
H3 is a hexagonal hierarchical geospatial indexing system for efficient spatial operations.
Suricata is a powerful network security monitoring engine for intrusion detection and prevention.
Sanity Studio is a rapidly configurable content management system (CMS) powered by structured content.
A universal, type-safe, CSS-in-JS framework for building design systems and UI components.
A cross-platform C library to access USB devices for system and hardware development.
An accessible React UI library for building inclusive and high-quality web applications and design systems.
Apache NiFi is a powerful data flow management system that enables developers to build complex data pipelines.
Red is a next-gen programming language with a native-code compiler, supporting cross-platform reactive GUI, concurrency, and more in a single ~1MB file.
An open-source, interactive text-mode process viewer for Unix systems
An open-source IoT operating system developed by the OpenAtomFoundation, with a focus on AI-powered development tools.
Multi-agent system for AI-driven software development, combining LLMs with DevOps tools to convert natural language requirements into working software.
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