Open Source App Cloud Marketplace

Perplexity's answer-engine experience, self-hostable and open-source: Morphic searches the web and writes cited answers. Instead of returning a list of links, it searches the web, reads the sources, and generates a complete answer with inline numbered citations. The generative UI streams rich components, source cards with thumbnails, image grids, syntax-highlighted code, and LaTeX math, rather than plain markdown. Quick mode answers fast; Adaptive mode runs deeper multi-step research. Search backends are pluggable: the Docker Compose bundle ships with a private SearXNG instance so no search API key is required, and Tavily, Brave, and Exa are supported alternatives. LLM providers include OpenAI, Anthropic, Google, Ollama, and any OpenAI-compatible endpoint, with per-mode model mapping - fast, cheap models for quick searches, stronger models for adaptive research, tuning the cost-quality trade-off per query type. An inspector panel exposes tool execution during multi-step research, and AI-suggested follow-up questions keep an investigation moving. Chat history persists in PostgreSQL, results are shareable by URL, file uploads feed context into queries, and optional Supabase authentication adds multi-user or guest access. Because the default search path is your private SearXNG instance, research topics never hit a commercial search API - and with local Ollama models the marginal cost of a query approaches zero. Built with Next.js, TypeScript, and the Vercel AI SDK under Apache 2.0.

With over 9,000 GitHub stars and a focus on developer experience over legacy monitoring complexity, Highlight.io delivers a unified observability platform that correlates frontend user behavior with backend performance data in a single interface. The session replay engine captures high-fidelity DOM recordings showing exactly what users experienced, including console logs, network requests, page transitions, and user interactions, with configurable privacy redaction for sensitive content. Error monitoring automatically groups and deduplicates errors, surfaces affected user sessions, and provides full stack traces with source map support for minified production code. The logging pipeline ingests structured and unstructured logs from any backend service with automatic property extraction, full-text search, and configurable alerting thresholds. Distributed tracing tracks request flows across microservices with embedded links to associated sessions, errors, and logs for complete request lifecycle visibility. The metrics system collects custom application metrics alongside built-in web vitals and performance data for trend analysis and anomaly detection. Search across all telemetry types uses a unified query language with automatic attribute discovery and saved views for recurring investigations. Integrations connect with Slack, Discord, Linear, Jira, Vercel, and dozens of other developer tools for notification routing and workflow automation. SDKs cover React, Next.js, Vue, Angular, Python, Go, Ruby, Java, PHP, and Elixir with framework-specific instrumentation. Self-hosted deployment runs via Docker Compose with ClickHouse for analytics storage. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

Take the tool sales teams use to never forget a client detail and point it at the people who actually matter - friends, family, the colleague whose kid's name you keep blanking on: Monica is a personal CRM. It's a Laravel/PHP application over MySQL where each contact accumulates the texture of a real relationship: how you met, family members and pets, work changes, addresses, notes from conversations, activities done together, gift ideas and gifts given, even debts owed in multiple currencies. Two features set it apart from every contact app. Reminders with staying power: set per-contact intervals (weekly through yearly), get notified at 30 days, 7 days, and day-of, with automatic birthday reminders and CalDAV sync to your calendar. And a journal linked to contacts: write about dinner with friends, tag each person, and build a timeline that's part diary, part relationship log - plus a daily "how was your day" rating. Monica is deliberately manual and deliberately private: no social network features, no AI, no email scraping, no ads, no analytics - a quiet database of what you know about people you love, on your own server. Multiple vaults and users, labels, custom activity types, and document/photo uploads round it out. AGPL-licensed.

Between your databases and everything that consumes data - BI tools, embedded analytics, AI agents - sits Cube (formerly Cube.js), an open-source semantic layer. Metrics, dimensions, joins, and access rules are defined once as code in YAML, JavaScript, or Python, forming a governed data model that every downstream consumer shares, so "revenue" means the same thing in every dashboard. Caching is two-level: an in-memory cache absorbs bursts of identical queries, and declared pre-aggregations - rollup tables built in the warehouse or in Cube Store, Cube's distributed columnar engine, and refreshed in the background - deliver sub-second latency while cutting warehouse compute costs. The query planner routes each request to cache, rollup, or source automatically. Consumers connect through a Postgres-compatible SQL API (any tool that speaks Postgres works), plus REST, GraphQL, and a Meta API for model introspection. Row-level security and multi-tenancy are enforced in the layer itself, upstream of every client. Sources include Snowflake, BigQuery, Databricks, Postgres, MySQL, Presto, and Athena. Headless by design - bring your own UI.

For people who found del.icio.us perfect and everything since bloated, linkding is the bookmark manager - a Django application whose entire design goal is saving and finding links with zero friction. Paste a URL and it fetches the title, description, favicon, and preview image automatically; organize with tags, search full-text across everything, mark bookmarks unread for read-it-later, attach Markdown notes, and bulk-edit whole selections at once. Its answer to link rot is archiving: bookmarked pages can be snapshotted automatically, either submitted to the Internet Archive or saved as local HTML files, and a documented SingleFile browser-extension integration uploads full self-contained page captures straight to your instance. Official Firefox and Chrome extensions (plus a bookmarklet) make saving a one-click habit, the UI installs as a Progressive Web App on mobile, and multi-user support with bookmark sharing - to users or logged-out guests - covers families and teams, with SSO via OIDC when needed. The REST API (create, search, filter by tag) has spawned a genuine ecosystem of community mobile apps and libraries. Operationally it is famously boring in the best way: one small container, SQLite by default, automated migrations, and a zero-breaking-changes policy. Import and export use standard Netscape HTML. MIT-licensed.

Over 2,500 open-source projects and companies in more than 165 countries localize with Weblate - the libre continuous localization platform and the standard self-hosted answer to Crowdin and Lokalise. Its defining trait is that translations live in the same version control as your code: Weblate talks directly to Git and Mercurial, pulls new source strings automatically via webhooks, and pushes finished translations back either as direct commits or as pull/merge requests on GitHub, GitLab, Gitea, Bitbucket, Azure DevOps, Gerrit, or Pagure. Every translator is properly credited in the commit history. For translators, it is a full computer-aided translation tool: translation memory, glossaries, customizable quality checks that catch placeholder and formatting mistakes, propagation of identical strings across components, and automatic suggestions from machine translation services - DeepL, Amazon Translate, LibreTranslate, and others, with per-service priorities and support for custom Python engines. It handles the format zoo (gettext PO, JSON, YAML, Android XML, iOS strings, and dozens more) and supports crowdsourced workflows with granular access control, workspaces, two-factor authentication, and reviewer approval steps. A REST API, CLI client, and add-on system automate everything else. Built on Python/Django, GPL-licensed, with no per-string or per-seat pricing when self-hosted.

Manga, comics, ebooks, and light novels get a streaming-service-style home in Kavita - a fast, cross-platform reading server for the DRM-free collection you share with family and friends. It natively serves CBZ, CBR, CB7, ZIP/RAR/7z archives, raw images, EPUB, and PDF, with hand-crafted web readers per format: webtoon scrolling, single and dual-page spreads with advanced caching for the comic reader, and a book reader with adjustable fonts, spacing, margins, color themes, and column modes. Reading progress tracks per user, so everyone resumes exactly where they stopped on any device. Metadata parses from filenames, ComicInfo.xml, and EPUB fields, feeding index-backed search, smart filters, collections, reading lists with CBL import, and Want to Read queues. Role-based user management covers age restrictions, per-library access, and OIDC authentication. An OPDS feed connects third-party clients - Panels on iOS, Librera on Android, KOReader on e-ink devices - and a comprehensive REST API supports custom integrations. EPUB annotation and highlight support, custom theming, and full localization round it out. Built with .NET and Angular, it handles 50,000+ file libraries without strain; optional Kavita+ adds AniList scrobbling, recommendations, and external metadata.

Stocks, ETFs, crypto, bonds, precious metals, and cash across every account and currency, in one privacy-first dashboard: Ghostfolio is open-source wealth management software. The deliberate design decision is no brokerage linking: positions enter by manual entry, CSV import, or the REST API, so your holdings never pass through a data aggregator. Performance is measured as return on average investment across Today, WTD, MTD, YTD, 1Y, 5Y, and Max timeframes, with benchmark comparison against indices like the S&P 500, dividend tracking, and allocation breakdowns by asset class, region, and sector. A static X-ray analysis flags concentration and other portfolio risks, and a FIRE calculator projects progress toward financial independence. Multi-currency support converts holdings using historical exchange rates, market data comes from Yahoo Finance and CoinGecko among other pluggable providers, and everything exports back out as CSV or JSON. Built with Angular and NestJS on PostgreSQL and Redis, shipped as Docker images for amd64 and ARM, with a mobile-first PWA interface, dark mode, and a distraction-free Zen mode. AGPL-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.

Traffic analytics, real-user performance monitoring, and client-side error tracking - normally three tools - in one cookieless, privacy-first dashboard: Swetrix. The Community Edition ships the same core engine as the cloud product - a NestJS API with ClickHouse for high-volume event storage, MySQL for relational data, and Redis for caching, fronted by a React dashboard and a ~5 KB tracking script with official packages for 20+ frameworks including Next.js, WordPress, and Shopify. Traffic analytics cover pageviews, referrers, UTM campaigns, geolocation, sessions with page flows, funnels, and custom events - all anonymized server-side with no cookies, no cross-device tracking, and no consent banner required for GDPR compliance. Performance monitoring records real-user metrics per pageview: TTFB, DNS and TLS timing, and render times, so regressions surface in the same place as traffic. Error tracking captures unhandled JavaScript exceptions automatically with formatted stack traces, filename/line metadata, affected browsers and pages, first/last-seen timestamps, and a resolve workflow - replacing a separate error monitoring subscription for many teams. Alerts fire to email, Slack, Telegram, Discord, or webhooks on traffic spikes, new errors, and custom events. If Plausible covers your traffic questions but you also want to know why the site broke, Swetrix answers both.

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.

With over 10,000 GitHub stars and a reputation forged in the frustration of laggy corporate screen sharing, Screego delivers what Microsoft Teams and Zoom screen share consistently fail to provide: instant, high-resolution screen streaming that lets remote colleagues actually read your code. Built on WebRTC peer-to-peer connections, Screego transmits screen data directly between browsers without routing through centralized servers, achieving sub-second latency and native-resolution quality that makes pair programming and code reviews genuinely productive. The server component, written in Go with a TypeScript frontend, deploys as a single binary or Docker container with minimal configuration — set your external URL, generate a secret key, and you're live. An integrated TURN server handles NAT traversal automatically, eliminating the need for separate STUN/TURN infrastructure, with configurable UDP port ranges and support for external TURN servers when scaling beyond a single instance. Authentication supports three modes — requiring login for all actions, only for TURN connections, or none — with user management via simple credential files. Rooms are created instantly and support multiple simultaneous viewers, with system and tab audio sharing available for demonstrations that need sound. The architecture supports reverse proxy deployment behind Nginx, Caddy, or Apache with automatic TLS termination, and recent releases added riscv64 architecture support alongside existing amd64 and arm64 builds. 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.

A server full of scattered services becomes one clean application hub under Flame - a self-hosted startpage where every bit of configuration happens in built-in GUI editors, never a config file. Applications and bookmarks are created, edited, and organized into categories directly in the browser, and favorites pin to the homescreen for one-click access. The integrated search bar filters your apps and bookmarks locally as you type, and prefix shortcuts (like /g for Google) route queries to any of 11 web search providers or custom ones you define, making Flame a genuine browser homepage rather than a static link wall. Docker integration is the standout for homelabs: mount the Docker socket, add flame.type, flame.name, and flame.url labels to containers, and new services appear on the dashboard automatically - Kubernetes Ingress annotations work the same way. A weather widget shows temperature, cloud coverage, and animated conditions for your coordinates, and password authentication protects settings and items. Appearance is deeply customizable with 15 built-in color themes, a custom theme builder, and full custom CSS support. The stack is Node.js with SQLite behind a React frontend - light, fast, and inspired by the minimalist SUI design.

The movie half of the *arr stack: Radarr is a .NET collection manager that automates acquiring films for Usenet and BitTorrent users the way Sonarr does for TV. Add a movie once and Radarr handles the rest: it monitors indexers and RSS feeds, grabs a matching release the moment one appears, sends it to SABnzbd, NZBGet, qBittorrent, Deluge, Transmission, rTorrent, or another connected download client, then imports, sorts, and renames the file into your library structure. Quality profiles are the control surface - define allowed resolutions and a cutoff, and Radarr keeps upgrading files automatically, replacing a DVD rip when a Blu-ray release lands. Custom formats go further, scoring releases by codec, HDR metadata, release group, streaming source, or arbitrary regex so the copy you want always wins the pick. Failed downloads retry with another release automatically; a manual search shows every candidate and explains why one was skipped. Release parsing recognizes director's cuts, special editions, AKA titles, and hardcoded subs. Plex and Kodi integration handles notifications, library refreshes, and metadata like posters, trailers, and subtitles, and a calendar view tracks upcoming releases. It pairs naturally with Jellyseerr for request management and shares its API conventions with the whole *arr ecosystem.

Google's search results without Google's surveillance: Whoogle is a self-hosted proxy that strips the tracking and keeps the results. Your query goes from browser to your Whoogle instance, which fetches results from Google with a randomly generated User Agent and strips everything hostile before returning them: no ads or sponsored content, no third-party JavaScript or cookies, no AMP links, no URL tracking tags like utm_source, no referrer header - and Google sees your server's IP, never yours. Unlike metasearch engines that blend sources, Whoogle proxies Google exclusively, so result quality is exactly what you'd get logged out and incognito, minus the noise. A lightweight Flask app configured entirely through environment variables, it supports DuckDuckGo-style bang shortcuts, autocomplete suggestions, safe search, per-country and per-language filtering, site blocklists, and automatic rewriting of social links to privacy front-ends like Nitter and Invidious. Privacy hardening goes further: built-in Tor routing makes Google see an exit node instead of your server, HTTP/SOCKS proxy support covers other setups, and POST-based queries keep search terms out of logs. Light, dark, and fully custom CSS themes plus browser search-engine registration make it a drop-in default on desktop and mobile. Stateless, tiny, and trivial to run.

Drop your screenshot, a base style is applied, style it however you wish, and export - "that's basically it," says Moocup's own author, and the description holds. The workflow is genuinely seconds long. Drag an image in and it lands on an attractive backdrop immediately; from there you adjust backgrounds, gradients, padding, borders, shadows, and framing with live preview until it matches your taste, then export a high-quality image ready for a portfolio page, README, blog post, tweet, or slide deck. There are no accounts, no watermarks, and no upload to anyone's cloud - as a self-hosted static app, your screenshots never leave your infrastructure, which matters when the screenshot shows a proprietary dashboard or unreleased product. It runs entirely in the browser from a tiny nginx container, works on any device, and requires zero design skill: the smart defaults do the heavy lifting, and everything else is optional tinkering.

Run a Stack Overflow of your own: Apache Answer brings the question-and-answer format in-house, maintained under the Apache Software Foundation with an Apache-2.0 license. You use it to run a community forum, product help center, or internal knowledge base where content lives as questions and answers rather than wiki pages. It ships the mechanics that make that format work: voting, accepted answers, a reputation system with privilege levels, tagging, full-text search with filters, revision history on every edit, and admin/moderator/user roles. Content is written in Markdown with real-time preview and code syntax highlighting. A plugin system covers OAuth login (Google, GitHub), S3 storage, external search backends like Algolia, and Akismet anti-spam, and a REST API exposes platform data for integration. The backend is Go, the frontend React, and it runs against SQLite, MySQL, or PostgreSQL. Self-hosting replaces per-seat tools like Stack Overflow for Teams with a flat-cost instance where you own all the content.

One REST call, 130+ notification services: Apprise API wraps the well-known Apprise library in a lightweight Django/Gunicorn microservice, so "send an alert" works the same whether it goes to Slack, Discord, Telegram, Teams, email, SMS, Pushover, or PagerDuty - each addressed by a simple URL scheme. It solves the credential-sprawl problem cleanly: instead of embedding provider tokens in every app, cron job, and CI pipeline, you centralize them here and everything else just POSTs a body and title. Two modes cover every workflow. Stateless calls to /notify carry target URLs in the payload (or fall back to a default set via APPRISE_STATELESS_URLS); stateful mode stores named configurations server-side under keys, so /notify/{KEY} fans out to everything registered - with tag-based routing (comma for OR, space for AND) selecting which endpoints fire per message. Messages take info, success, warning, or failure types in text, Markdown, or HTML, with attachments up to a configurable size. A built-in web UI manages and tests configurations, APPRISE_CONFIG_LOCK makes the store read-only, service allow/deny lists restrict which schemes work, webhook remapping adapts third-party payloads, and a Prometheus /metrics endpoint watches the gateway itself.