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With over 7,000 GitHub stars and active community maintenance through version 0.26.0 released in June 2026, Homebox fills the gap between inadequate spreadsheets and overcomplicated enterprise asset management by providing a purpose-built inventory system designed specifically for home users, families, and small groups. The Go backend with SQLite storage deploys as a single Docker container consuming under 50MB of RAM at idle, running on hardware as modest as a Raspberry Pi while the responsive web interface adapts seamlessly across desktops, tablets, and smartphones. The entity-based architecture introduced in v0.26 unifies items and locations into a shared structure supporting custom fields, attachments, entity types, and reusable templates for consistent data entry across inventory categories. QR code generation creates printable labels that scan with any smartphone camera to instantly display item details, photos, serial numbers, and associated documents. Warranty tracking records purchase dates, prices, and expiration dates while maintenance scheduling sends reminders for recurring service tasks. Location hierarchies organize items spatially with nested sub-locations, and flexible label tagging enables cross-cutting categorization beyond physical placement. Multi-user support shares collections with family members or roommates with OIDC single sign-on integration for Active Directory, Okta, and other identity providers. CSV import and export handles bulk operations, while the full REST API enables automation and third-party integrations. Collection-level ZIP export packages complete inventories with attachments for backup or migration. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

No targets, no gamification spiral, no motivational nagging: Beaver Habit Tracker is a self-hosted habit tracker deliberately built without "Goals". The core loop is honest: add habits, check them off each day, watch streaks accumulate on a calendar view. Its design follows behavioral-science basics - make it obvious (visual streak cues), make it attractive (progress is the motivator), make it satisfying (tracking becomes its own reward). Beyond the daily checklist it supports per-day notes intelligently grouped per habit, periodic habits, habit categories and tags, drag-to-reorder (manual or automatic), dark mode, and detailed streak and frequency views. Data lives where you choose: a single SQLite database or flat JSON files on a mounted volume, with JSON export and import for full portability. A REST API opens automation - community integrations already cover Stream Deck buttons, Home Assistant triggers, and CalDAV. The Python app ships as one Docker container with no external dependencies; environment variables tune everything from first day of week and index-page columns to iOS standalone PWA mode, and single-user setups can bypass the login entirely with TRUSTED_LOCAL_EMAIL. BSD-3-Clause licensed with no commercial restrictions - a well-executed single-purpose tool whose mobile PWA works anywhere a browser does.

Operately is an opinionated operating system for growing companies that connects strategic goals directly to execution without the overhead of assembling separate tools. The OKR module tracks company-wide, team-level, and individual goals with measurable success conditions showing progress bars against numeric targets, timeframe deadlines, and automated progress aggregation from linked projects. Project management includes champion ownership, milestone tracking, Kanban task boards with TODO, In Progress, and Done columns, and scheduled check-ins that generate async progress updates on a configurable cadence. Team Spaces give departments organized homes for their goals, projects, documents, and discussions with configurable access controls at the space, goal, and project level. Message boards replace scattered email threads with focused project conversations, while the document and file system provides centralized content management. The Review screen aggregates everything requiring attention or approval into a single actionable view. The Elixir Phoenix backend uses Absinthe for GraphQL queries and mutations, Oban for background job processing, and Swoosh for email notifications. The React TypeScript frontend leverages Apollo Client for GraphQL state management. Full CLI and API access enables programmatic interaction, and MCP tools added in version 1.7 allow AI agents to create goals, update projects, manage tasks, and post check-ins. On RepoCloud, deploy Operately on a dedicated VPS with PostgreSQL persistence, root SSH access, and complete control over your organizational data, all under the Apache 2.0 license.

Scrumboy is a Kanban and sprint management tool that ships as a single Go binary backed by SQLite, deploys in under ten seconds via Docker, and uniquely integrates with AI coding agents through a standards-compliant MCP JSON-RPC endpoint. The dual-mode architecture supports Full mode with bootstrapped authentication, TOTP two-factor auth, OIDC/SSO integration through Keycloak, Authentik, Auth0, or Entra ID, role-based access control across Owner, Admin, User system tiers plus per-project Maintainer, Contributor, and Viewer roles, and Anonymous mode that generates instant shareable boards accessible via unique URLs with zero signup requirement. Custom workflows allow user-defined lane configurations per project including designated "Done" lanes, while sprints with configurable one or two-week cycles include board-level sprint filtering and the ability to disable and re-enable sprint tracking without losing history. Real-time Server-Sent Events power instant multi-user board updates, and outbound webhooks deliver JSON payloads to registered URLs when domain events fire with HMAC signature verification. The MCP endpoint at /mcp/rpc enables native integration with Cursor, Claude Code, and other AI agents through OAuth 2.1 with PKCE authorization, while API access tokens support CLI automation and CI/CD pipelines. Additional capabilities include VoiceFlow voice commands, per-project sticky-note walls, Markdown and Mermaid diagram support in task notes, append-only audit trails, VAPID Web Push notifications, SMTP password reset, Trello import, JSON backup with merge/replace/copy strategies, and 22-language internationalization. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL v3.0 licensed.

With over 1,600 GitHub stars and a design philosophy that fundamentally rethinks how time tracking should work, Traggo abandons the traditional project-task hierarchy that forces your work into rigid categories and instead lets you tag time spans with arbitrary key-value pairs — project:website, type:coding, client:acme, billable:yes — enabling cross-dimensional analysis that conventional trackers cannot replicate. The Go backend compiles into a single binary that runs alongside a SQLite database and embedded web UI in under 10MB total, consuming approximately 50MB of RAM at runtime and starting in seconds on even the smallest VPS. Tags are the fundamental data model: create any tag key with any set of values, then apply multiple tags to each time span simultaneously to track by project, client, task type, energy level, or any other dimension your workflow demands. Customizable dashboards render pie charts, bar charts, and line graphs from tag-aggregated data, letting you visualize time distribution across any combination of dimensions over configurable date ranges. The calendar view displays time spans as colored blocks across days and weeks, while the list view provides chronological entry browsing with inline editing. Multiple themes including light and dark modes adapt the interface to personal preference, and simple user management with role-based access supports small team deployments. Docker deployment runs a single container exposing port 3030 with multi-architecture support for amd64, arm64, and arm v7. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

DumbAssets delivers a deliberately simple physical asset tracker that does exactly one thing well — keeping tabs on everything you own, from server racks down to individual HDDs, with hierarchical component nesting that mirrors real-world organization. The Node.js backend stores all data in JSON files within a single /data directory, making backups trivial with one folder copy while the PWA-enabled frontend provides responsive access from any device with light and dark theme persistence. Assets track model numbers, serial numbers, purchase dates, warranty expiration dates, and custom descriptions while sub-components nest infinitely — attach a Dell R730 to your server rack, then attach individual drives, CPUs, and NICs to that server with separate warranty and maintenance schedules for each. The Apprise notification engine fires configurable alerts for warranty expirations and maintenance events with direct links back to the specific asset in the web interface. Photo uploads attach visual records to any asset, receipt storage keeps purchase documentation alongside the item it covers, and a flexible tagging system enables cross-cutting organization beyond the hierarchy. PIN authentication with brute-force protection secures the interface, while search covers names, models, serials, and descriptions with sorting by warranty status, tags, components, or alphabetical order. Deploy with a single Docker command mapping port 3000 and one data volume. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL v3 licensed.

Vehicle maintenance records shouldn't live in a homemade spreadsheet and a shoebox of receipts - LubeLogger exists because of exactly that. It's a self-hosted .NET web application (from Hargata Softworks) that gives every vehicle in your garage a complete digital history: service, repair, and upgrade records categorized and searchable, with invoices and receipts attached as documents; fuel fill-ups that compute economy in MPG, UK MPG, L/100KM, or KM/L without spreadsheet tedium; taxes, odometer logs, inspections, equipment, and supplies inventory for tracking the parts and fluids on your shelf. The reminder system is what saves engines: recurring reminders trigger by date, odometer reading, or whichever comes first - exactly how real service intervals work - so oil changes and timing belts stop relying on memory. A dashboard summarizes expenses by year, month, and category, a planner tracks to-dos by type, priority, and progress, and professional vehicle reports print a full history - genuinely useful when selling a car. Collaboration is built in: invite household members as collaborators on shared vehicles, with single sign-on support. Custom fields adapt records to your needs, CSV import/export moves data freely, an API enables automation, and the mobile-tested UI installs as a PWA on iOS and Android. MIT-licensed.

CRM mechanics applied to your actual relationships instead of a sales pipeline: Nametag is a Personal Relationship Manager (PRM). It exists to fix the things you keep forgetting: when you last talked to an old friend, their kids' names, the birthday you missed twice. Contacts are tracked with flexible attributes - names, birthdays, important dates, and free-form notes for everything else - and organized into custom groups. Where it goes beyond a contacts app is relationship mapping: you define how people connect to each other (family, friends, colleagues, or custom relationship types), and an interactive D3.js-powered graph renders your entire personal network so you can see clusters and connections at a glance. Staying in touch is automated: scheduled reminders fire for birthdays, important dates, and reach-out nudges, with optional email delivery via a Resend API key for password resets and reminder notifications. Built with Next.js, it is mobile-responsive, ships with full dark mode, and supports multiple languages including English and Spanish. Because it is self-hosted, there are no account tiers or contact limits - unlimited people and relationships, with every note about your personal life stored on your own server rather than a social-graph company's cloud. A lightweight, single-container deployment makes it one of the easiest personal tools to run.

IRONSIGHT fuses over 50 publicly available intelligence sources into a single real-time dashboard that requires zero API keys and zero configuration. The Live Intel Feed aggregates 20+ RSS news sources with keyword relevance filtering from outlets including Reuters, Al Jazeera, and Kyiv Post. The Telegram OSINT module scrapes 27 channels every 60 seconds with automatic translation from Hebrew, Arabic, and Farsi. The interactive Leaflet Theater Map plots military aircraft positions via ADS-B transponder data, naval vessel locations in the Persian Gulf and Eastern Mediterranean, strike markers extracted from news and Telegram, missile trajectory arcs with range rings, and country-border overlays with a distance measurement tool. A header toggle switches the entire dashboard between Iran/Israel and Russia/Ukraine theaters, re-pointing every panel, map layer, and data feed to the selected conflict. The Israel Alert module streams live Pikud HaOref missile alerts with audio notifications, while the Conflict Monitor categorizes events into strikes, defense, diplomatic, and nuclear. Financial panels track defense contractor stocks, S&P 500, VIX, gold, Bitcoin, Ethereum, energy commodities via Yahoo Finance, and Polymarket prediction odds on conflict outcomes. NASA FIRMS satellite thermal detection flags fire and explosion signatures. The Next.js 16 App Router handles server-side data fetching for RSS and API endpoints while client-side React state management drives real-time polling updates. On RepoCloud, deploy IRONSIGHT on a dedicated VPS with persistent storage, root SSH access, and full control over your intelligence monitoring environment, all under the MIT license.

Chartbrew transforms raw database queries and API responses into polished, shareable dashboards without requiring a data engineering team. Connect to MySQL, PostgreSQL, MongoDB, Firestore, or any REST API, then build datasets using the visual query editor with syntax highlighting and auto-completion. Charts render through Chart.js with line, bar, pie, donut, radar, polar, KPI card, and table visualizations, each customizable with colors, legends, filters, and goal indicators. An AI assistant accelerates dashboard creation by generating queries and suggesting chart configurations from natural language descriptions of the metrics you want to track. Reusable datasets let teams prepare data transformations once and share them across multiple charts, while automatic scheduling through BullMQ and Redis refreshes data at intervals from every 10 minutes to monthly. The embed feature generates standalone chart URLs for insertion into external websites, internal tools, or customer portals, and the Reporting API enables programmatic dashboard management and automated report delivery. Team workspaces with role-based permissions control who can view, edit, or manage data connections. Nearly 4,000 GitHub stars reflect steady community adoption. The platform runs on Node.js with Express and Sequelize ORM, supporting MySQL or PostgreSQL as its application database. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. FSL-1.1-MIT licensed (converts to MIT two years after each release).

A deliberately simple ticketing system standing in for both Zendesk and Jira: Peppermint handles internal staff requests and external customer support alike. The stack is modern full-stack TypeScript: Next.js and React over Prisma and PostgreSQL, which makes it light to run and approachable for developers extending it. Ticket creation is straightforward - a markdown editor with file uploads, assignment, status tracking, and a logical workflow that new agents grasp without a manual. Mailbox integration converts email into tickets automatically: configure SMTP/IMAP per mailbox and incoming messages become trackable tickets. Each client accumulates an interaction history, giving agents context on every past request before replying. Two touches distinguish it from bare-bones ticketing: a built-in markdown notebook with todo lists for internal documentation and knowledge sharing, and OIDC authentication so agents sign in through your existing identity provider - Keycloak, Okta, Authentik, or Azure AD. Configurable webhooks and email notifications push ticket events to third-party services. The UI is responsive from mobile to 4K, and everything works fully offline in air-gapped environments. Docker-native and scalable via Kubernetes, with an active community of 3,000+ GitHub stargazers.

Winner of the 2015 Most Valued Agile Tool award and cited as a top project management platform by Opensource.com with over 2,100 GitHub stars on the Docker deployment repository alone, Taiga has served an estimated 20 million users worldwide with over 2 million Docker pulls since its creation in 2014 by Kaleidos. The platform delivers a complete agile project management experience through Scrum boards with backlog prioritization, sprint planning, story point estimation configurable per role, burndown charts at both project and sprint levels, and velocity tracking with a project doom-line indicator. Kanban boards offer customizable workflow columns with swimlanes, WIP limits, zoom controls, and the ability to switch between Scrum and Kanban at any point without losing data. The issue tracker supports custom types, priorities, and severities with the ability to promote issues directly to user stories. Team collaboration features include threaded comments, file attachments, email notifications, mentions, a built-in wiki for project documentation, and a team performance dashboard with the Iocane health metric for tracking team sustainability. The platform integrates with GitHub, GitLab, and Bitbucket for version control linking, provides importers for migrating from Trello and Jira, and exposes a REST API for custom integrations. Available in over 20 languages with custom fields, tags, roles, and permissions. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MPL-2.0 licensed.

PayMe is a privacy-first personal finance dashboard that runs entirely on your own hardware with zero third-party service dependencies. The Rust backend compiled to a single binary serves a React 19 frontend built with Vite, TypeScript, and Tailwind CSS 4, storing all financial data in a local SQLite database that auto-migrates on startup. Monthly dashboards track income entries, fixed expenses like mortgage and utilities, and budget categories with real-time progress bars showing spending against configurable limits. The savings module includes goal tracking with percentage-based progress indicators, custom savings goals for targeted objectives, retirement savings projections with breakdown analysis, and projected savings calculations. Variance analysis compares actual spending against budgets across categories. Drag-and-drop reordering powered by dnd-kit lets you arrange income sources, expenses, and budget items to match your workflow. The interactive charts rendered by Recharts visualize spending trends, income patterns, and savings trajectories. Month-by-month navigation tracks financial history over time, while the Summary and Stats views aggregate data across periods. JWT-based authentication secures access, and the full OpenAPI Swagger documentation at the /swagger-ui endpoint exposes every API route for automation and integration. Docker Compose deployment creates a minimal image with the compiled Rust binary and static frontend assets, running on port 3001 behind nginx, Caddy, or Traefik reverse proxy with HTTPS. On RepoCloud, deploy PayMe on a dedicated VPS with persistent SQLite storage, root SSH access, and complete privacy over your household financial data, all under the MIT license.

Started as an ExpenseOwl-inspired project, Wally grew into a lightweight, self-hosted expense tracker more capable in every direction its author touched. The backend is Python FastAPI over SQLite, which means every deployment ships a full REST API with interactive documentation at /api/docs - automating imports or wiring in external tools requires no reverse engineering, and when the optional login page is enabled you can mint scoped API keys from the Settings page for token-based integrations. The transactions view is built on AG Grid, bringing real search, column sorting, and per-column filtering to your ledger, with a footer totaling rows, income, and expenses for whatever slice you have filtered. Dashboards go beyond the usual monthly doughnut: a Change button swaps in year-scale line graphs so you can track a single category - restaurants, say - across time. Recurring transactions edit intelligently, letting you apply changes to all instances or only future ones. CSV import and export use a simple six-column format handled from Settings, the refined dark theme is genuinely easy on the eyes, and the interface is translated into more than ten languages. The whole thing runs from one small container with a single data volume.

GlitchTip speaks Sentry's protocol without Sentry's operational weight - open-source error tracking that your existing SDKs already understand. The pitch is pragmatic: instrument your application with the official Sentry SDKs you already know - any language they cover - and point the DSN at your own GlitchTip instance instead. Errors, exceptions, log messages, and Content Security Policy violations flow into one place for triage, grouped into issues with stack traces, with alerts delivered by email or webhook the moment things break. Where self-hosted Sentry has ballooned into a docker-compose stack of twenty-plus containers, GlitchTip is a deliberately lean Django and PostgreSQL application a small team can actually run. Beyond errors, it bundles three more monitoring concerns: performance monitoring takes a works-out-of-the-box approach - no dashboard building, just your slowest web requests, database queries, and transactions surfaced automatically; uptime monitoring pings your sites and alerts on failures, or runs in reverse as a dead-man's-switch heartbeat for cron jobs that must check in on schedule; and log search puts application logs alongside errors for faster debugging. Unlimited projects and team members, MIT-licensed, built by Burke Software - your event volume is limited only by your own hardware.