Projects sharing features with Trace.moe

Hora is a vector similarity search library written in Rust designed for efficient approximate nearest neighbor retrieval in high-dimensional data spaces. It functions as a compiled search engine that organizes vector spaces using hierarchical graphs, trees, and product quantization, while computing proximity through various mathematical distance formulas including Euclidean, Manhattan, cosine, and dot product calculations. The library supports high-performance execution through hardware-accelerated instruction sets and concurrent thread dispatch across multiple hardware processors. To accommo

Annoy is a C++ library designed for approximate nearest neighbor search in high-dimensional vector spaces. It functions as a vector similarity search engine that constructs static, disk-based data structures to facilitate fast lookups. By mapping identifiers to vector data and persisting these structures to disk, the library enables efficient, memory-mapped access to large datasets. The project distinguishes itself through the use of random projection trees and distance-metric-based partitioning, which organize data into hierarchical binary trees to balance search precision against computatio

Docker Compose UI is a web-based management platform that provides a graphical dashboard for orchestrating multi-container application stacks. It serves as a centralized interface for managing container lifecycles, monitoring service health, and executing commands within running environments without requiring manual command line input. The platform distinguishes itself by integrating directly with version control systems to automate the deployment of infrastructure definitions. By cloning project files from remote repositories, it ensures consistent environment configurations across different

This project is a high-performance library designed for the similarity search and clustering of dense vectors across massive datasets. It functions as a vector similarity search engine, providing the necessary tools to organize complex numerical data into specialized structures that facilitate rapid retrieval and efficient querying of millions of records. The library distinguishes itself through a variety of advanced indexing and compression techniques, including hierarchical navigable small worlds for logarithmic time complexity and inverted file indexing to partition vector spaces into mana

This project is a privacy-focused, self-hosted metasearch engine that aggregates results from a wide array of web, academic, and media sources into a single, unified interface. By acting as a proxy between the user and external search providers, it strips identifying headers and tracking parameters from requests, ensuring that search activity remains anonymous and protected from third-party profiling. The platform distinguishes itself through a modular, plugin-based architecture that allows for extensive customization of search behavior, result filtering, and interface branding. It supports a

Whoogle-search is a self-hosted, containerized metasearch engine designed to provide search results while stripping away advertisements, tracking scripts, and cookies. It functions as a privacy-focused proxy that fetches results from major search providers, ensuring that user activity remains isolated from the original service providers. The platform distinguishes itself through granular traffic management and request-level security. It masks user identity by rotating browser identification strings and routing queries through intermediate proxies. Users can further customize their experience

OnlineJudge is an automated platform for managing programming contests and evaluating submitted source code. It provides a complete online judge system that compiles, runs, and scores code submissions against predefined test cases within a sandboxed execution environment, ensuring the host system remains protected from untrusted user code. The platform supports both ACM-style penalty-based scoring and OI-style point-based scoring, with real-time leaderboard computation that dynamically updates participant rankings as submissions are judged. Contest organizers can create and schedule timed com

Passbolt is an open-source, self-hosted password manager designed for teams. It provides a centralized, encrypted vault where organizations can store, share, and manage credentials securely. The server exposes a JSON REST API that authenticates requests using either GPGAuth or JWT tokens, and all secrets are protected with OpenPGP end-to-end encryption, ensuring the server never has access to plaintext passwords. The platform distinguishes itself through a comprehensive role-based access control system that governs resource sharing and administrative actions. Teams can organize users into gro

zvec is an embedded vector database engine and indexing library designed for high-dimensional similarity search. It functions as a hybrid search engine and a retrieval-augmented generation knowledge base, allowing for the storage and retrieval of dense and sparse vectors. The system is distinguished by its hybrid retrieval pipeline, which fuses vector similarity, full-text keyword matching, and scalar metadata filtering into single query operations. It supports a plugin-based model integration system for registering custom embedding models and rerankers, as well as language bindings for nativ

Uncloud is a decentralized container orchestrator designed to deploy and manage applications across multiple servers without a central control plane. It functions as a peer-to-peer system and a Docker Compose cluster deployer, using SSH-based infrastructure management to coordinate operations across remote nodes. The project distinguishes itself by using a secure mesh network overlay to enable direct inter-container communication across different physical machines. It facilitates container image distribution by transferring missing layers directly from local environments to target nodes, bypa

This is a step-by-step tutorial that teaches Docker from the ground up, covering how to build images from Dockerfiles, run and manage containers, and connect them on user-defined networks. The guide walks through packaging applications into portable containers and using Docker Compose to define and orchestrate multi-service applications with a single YAML configuration. The curriculum extends into cloud deployment, explaining how to push images to registries like Docker Hub and deploy single-container applications to AWS Elastic Beanstalk as well as multi-container setups to AWS ECS. It also

Unregistry is a decentralized container cluster orchestrator and Docker Compose manager. It allows for the deployment and scaling of containerized services across multiple remote hosts without the need for a centralized control plane. The project distinguishes itself by providing a registry-less deployment model, using SSH to transfer container image layers directly to remote servers. This capability enables deployments to air-gapped or private networks by bypassing external image registries entirely. The system covers a broad range of operational capabilities, including overlay mesh network

Runtipi is a home server dashboard and orchestration tool designed for deploying and managing containerized applications. It provides a web-based interface for discovering and installing software from a curated app store, utilizing a Docker Compose orchestrator to handle the deployment of self-hosted services. The system integrates a reverse proxy and SSL manager to route external traffic to internal containers, automating HTTPS certificate renewal and domain assignment. It also features a built-in backup and update manager that uses cron-based scheduling to perform automatic security patchin

This project is a C++ vector similarity engine and implementation of the Hierarchical Navigable Small World algorithm. It provides a header-only library for performing approximate nearest neighbor searches in high-dimensional spaces, alongside Python bindings that expose these indexing and search capabilities to data science environments. The engine enables real-time embedding retrieval and high-dimensional similarity search using a multi-layered graph structure to balance search speed and accuracy. It supports custom distance metrics to calculate similarity between vectors in various mathema

dpanel is a web-based Docker management interface and remote server manager. It serves as a container lifecycle tool and orchestrator for deploying multi-container applications using Docker Compose configuration files and application stores. The project distinguishes itself as a central management console capable of controlling containers across multiple remote servers via API or SSH connections. It includes an integrated host filesystem browser for accessing files and folders on remote machines via SSH and SFTP. The platform covers container image workflows, including building custom images

This is a distributed voting application designed to demonstrate a multi-service architecture. It uses stateless web frontends for submitting votes and viewing live results, with a Redis-backed queue to buffer incoming votes and a PostgreSQL database for persistent tallying. The application is built around asynchronous message queue processing, decoupling the vote submission from the tallying workflow. The project showcases how to deploy a multi-service application using container orchestration tools. It provides YAML-driven declarative deployment manifests for Docker Compose, Docker Swarm, a

This project is a cloud-native software distribution and an OCI container image library. It provides a collection of pre-configured, hardened container images and Docker Compose application stacks designed for consistent deployment across cloud and on-premises environments. The images are production-ready and compiled using standardized security configurations and vulnerability scanning to reduce attack surfaces. These hardened application images are designed to minimize manual setup and security risks during deployment. The project covers container vulnerability management, production-ready

hnswlib is a header-only C++ library and vector indexing engine designed for high-dimensional approximate nearest neighbor search. It organizes large collections of embeddings into a searchable graph structure to enable rapid proximity queries and distance calculations. The system utilizes Hierarchical Navigable Small World graphs to achieve fast vector similarity search. It distinguishes itself by allowing the definition of custom distance metrics and similarity functions to adapt calculations to specific data requirements. The engine covers the full indexing lifecycle, including incrementa

This project is a comprehensive reference guide and cheat sheet for the Docker CLI. It provides a structured collection of commands and documentation to help users manage container lifecycles, build images, and handle registries. The documentation specifically covers the orchestration of multi-container applications using Docker Compose and the management of scalable services across multiple nodes via Docker Swarm. It also includes detailed guides for configuring virtual networks, bridges, and ports to control container communication. The reference surface extends to container image administ

Hound is a self-hosted source code search engine designed to index multiple repositories for high-performance regular expression queries. It serves as a multi-repository code indexer that provides a centralized interface for searching across large-scale, private, and versioned codebases. The system utilizes trigram-based indexing to enable fast pattern matching and regular expression lookups without scanning every file. To maintain current search results, it employs automatic synchronization through a combination of periodic polling of remote version control systems and monitoring of local di

Hound is a self-hosted code search engine that indexes source code repositories and provides fast regular expression search results using a trigram-based index. It is designed to be deployed on your own infrastructure, enabling you to search across multiple public and private code repositories simultaneously. The engine builds its search index by decomposing source code into three-character trigrams, which allows for fast substring matching with regular expressions. It supports searching across multiple repositories in parallel, returning results from the pre-built trigram index. Hound can in

OrbStack is a native macOS application that replaces Docker Desktop, providing an all-in-one environment for running Docker containers, full Linux virtual machines, and local Kubernetes clusters. It runs Linux VMs directly on the macOS hypervisor framework for near-native performance, uses VirtioFS for fast bidirectional file sharing between macOS and Linux, and leverages Rosetta for near-native x86 emulation on Apple Silicon. The system assigns predictable local domain names to containers and VMs with automatic HTTPS certificate generation, forwards ports via event-driven updates, and stores

Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer

This project is a PyTorch person re-identification framework designed for training and evaluating models that identify individuals across different camera views. It provides a complete model training pipeline, a deep learning feature extractor for converting images into numeric vectors, and a suite of computer vision benchmarking tools to measure identity retrieval accuracy. The framework includes a specialized transfer learning toolkit that supports layer freezing, staged learning rate optimization, and differential learning rates for fine-tuning pretrained models. It distinguishes itself th

Lightly is a self-supervised learning framework and computer vision data curation tool designed to manage large image datasets and train models on unlabeled data. It functions as a PyTorch vision library and dataset management SDK, providing tools to convert raw images into high-dimensional vectors for similarity search, visualization, and feature extraction. The project implements a variety of self-supervised architectures, including MoCo, SimCLR, VICReg, Barlow Twins, and masked image modeling. It distinguishes itself by combining these learning frameworks with active learning capabilities,

This project is an Ansible role and configuration framework designed to automate the installation and provisioning of network attached storage and self-hosted services. It functions as a home server orchestration tool for deploying media servers, cloud storage, and home automation tools on private hardware. The system includes a dynamic DNS configuration suite to expose local network services to the internet using custom hostnames. It allows for the deployment of interconnected application stacks and preconfigured service suites that are coordinated to achieve specific operational goals. The