When Clarkson, the once-popular fuel logger, stopped receiving updates, Hammond stepped in as its logical successor - a self-hosted vehicle expense tracker. Written in Go with a Vue.js interface and SQLite storage - a single lightweight container, no external database - it tracks every cost your vehicles generate: fuel fill-ups with cost, volume, and odometer readings; maintenance and repairs; and arbitrary other expenses, each attachable with photos and documents stored against the vehicle. The multi-user, multi-vehicle design is what sets it apart from phone apps: a household or small business adds all its vehicles and all its drivers, shares vehicles across users, and every fill-up lands in one ledger no matter who was driving. The Quick Entries feature respects how expenses actually happen - snap a photo of the receipt or pump screen at the gas station, then complete the structured entry later when you have a minute. Reporting works at both the vehicle level (cost per distance, fuel economy trends) and across the whole fleet. Migration matters here: importers for Clarkson, Fuelly, and Drivvo bring years of fill-up history along, so switching does not mean starting your data over.

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).

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.

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.

Moneat is the open-source observability platform that unifies error tracking, session replay, performance monitoring, logging, uptime checks, synthetics, product analytics, and AI observability into a single self-hosted application — replacing Sentry, Datadog, and Statuspage with one deployment. The Sentry SDK compatibility layer accepts data from @sentry/browser, @sentry/node, @sentry/react, @sentry/nextjs, sentry-sdk for Python, sentry-kotlin, sentry-java, sentry-android, sentry-cocoa, sentry-go, sentry-ruby, and Sentry.NET by updating one DSN endpoint. Datadog Agent compatibility redirects existing fleets by setting dd_url, and native OpenTelemetry OTLP ingestion accepts logs, traces, and metrics from any exporter or Collector. Error monitoring groups exceptions with smart deduplication, session replay records DOM-based user interactions linked to errors, distributed tracing visualizes transaction and span breakdowns with live service maps, and continuous profiling renders flamegraphs in pprof, JFR, and Sentry formats. Uptime monitoring runs HTTP, TCP, and ping checks with public status pages, while synthetics executes API tests, multi-step workflows, SSL checks, and DNS probes. Custom dashboards support drag-and-drop widgets with Grafana import, product analytics provides funnels and retention cohorts, release tracking surfaces crash-free rates with source map upload, and AI observability traces LLM calls end to end. Built on Kotlin and Java with ClickHouse for analytical storage, PostgreSQL for relational data, and Redis for caching, deployment uses Docker Compose with an interactive installer automating secrets and service orchestration. 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.

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.