Open Source App Cloud Marketplace

What Gmail did for email, Octobox does for GitHub notifications: an ephemeral, unmanageable stream becomes an inbox you can actually triage. GitHub marks notifications read the moment you glance at them and lets old ones vanish days later; heavy maintainers end up building elaborate Gmail filter systems just to cope. Octobox - a Ruby on Rails app over PostgreSQL - syncs your notifications into a persistent inbox with an explicit archived state: mark a thread done, and if the issue or PR sees new activity, it pops back automatically, so nothing silently falls through. Triage is keyboard-driven with Gmail-style shortcuts (j/k to navigate, e to archive, m to mute, s to star), and multi-select clears noisy repositories in bulk. Filtering is where it earns its keep: slice by repository, organization, type, action, state, reason, CI status, labels, author, assignee, or bot origin, combine prefix search filters, and pin favorite searches to the sidebar. The optional GitHub App enriches entries with live PR/CI status and labels so you can decide without clicking through. Auto-archive rules clear merged PRs and closed issues; muting and snoozing silence the rest. A REST API supports integrations. Self-hosting keeps your notification metadata - a map of everything you work on - on your own server.

Credentials sitting forever in email threads and chat scrollback - Password Pusher solves that everyday security failure. Instead of pasting a password into Slack, you push it - a password, note, file, URL, or QR code - and share a unique one-time link that expires after a set number of views, a time limit, or both. Content is encrypted at rest with AES-GCM under a configurable master key, optionally guarded by a passphrase, and permanently deleted from the database the moment it expires; a retrieval-step option keeps URL-scanning bots from consuming views. Full audit logs record when each link was created and viewed (and by whom, with logins), and TOTP two-factor authentication can be required instance-wide. The delivery page is deliberately unbranded - no logos or confusing links for recipients - and the interface ships in 31 languages with light and dark themes. Automation runs through a JSON API (v2), an official CLI for pushing and expiring secrets from the terminal, a Chrome extension, and a catalog of third-party integrations. Apache-2.0 licensed Ruby on Rails, deployable via Docker, Kubernetes, or Helm, with SQLite or PostgreSQL storage - the sysadmin staple for sending credentials that clean up after themselves.

CoreObs delivers a unified self-hosted dashboard that replaces the typical combination of Uptime Kuma, Homer, and separate monitoring tools with a single interface for managing your entire server infrastructure. The Next.js frontend with shadcn components provides a modern dark-themed UI displaying server hardware metrics collected by a lightweight Go agent that leverages Glances for hardware abstraction — streaming real-time per-core CPU load, RAM utilization, NVIDIA GPU statistics, disk usage, system uptime, and load averages via WebSocket connections. The application registry tracks all self-hosted services with configurable uptime monitoring, availability history charts, and instant notifications through Discord, Telegram, Pushover, and email when services go down or recover. Quick-access links provide one-click navigation to each application's management panel directly from the dashboard. The network visualization module built on React Flow enables creating visual topology maps of your infrastructure with drag-and-drop nodes representing servers, switches, and services connected by labeled edges. Server data can be organized with tags, copied between entries, and monitored with configurable pagination and compact view modes. Deploy via Docker Compose with three containers — the Next.js web interface, the Go monitoring agent, and PostgreSQL 17 for persistent storage. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Log a date, amount, and category; get a clean monthly pie chart and a cashflow strip showing income, expenses, and net balance - ExpenseOwl is expense tracking stripped to what actually matters. The MIT-licensed Go application deliberately is not a budgeting system - no envelopes, no accounts, no double-entry, no bank sync - because its author found tools like Firefly III and Actual too heavy for the simple question "where did this month's money go?" The dashboard makes that question fast: click a pie slice to exclude fixed costs like rent and see discretionary spending clearly, then drill into a chronological table view to inspect or delete individual transactions. Recurring transactions handle salaries and subscriptions automatically, optional tags add a second classification axis, and settings cover custom categories, currency symbol, and a configurable month start date for non-calendar pay cycles. CSV import migrates data from virtually any other tool, and CSV export keeps your data portable. It ships as a self-contained binary and multi-architecture Docker image with zero internet interaction, stores data in flat JSON files by default (PostgreSQL optional), and installs as a PWA on phones. Single-user by design; pair it with an authenticating reverse proxy if exposed publicly.

Keystone turns TypeScript schema definitions into a complete GraphQL API and React Admin UI automatically, eliminating the gap between data modeling and application scaffolding. Nearly 10,000 GitHub stars and over 270 contributors across a decade of development back a framework where list definitions map directly to Prisma models on PostgreSQL or SQLite, generating database migrations and exposing every field relationship through Apollo Server's GraphQL endpoint. Granular access control operates at the list, field, and operation level with filter-based restrictions that limit which records users can see, create, update, or delete based on session data and custom logic. The document field provides a structured WYSIWYG editor with content blocks, inline relationships, and custom React components that render consistently across the Admin UI and frontend applications. Event hooks fire before and after create, update, and delete operations for validation, side effects, and external service integration. Custom GraphQL queries and mutations extend the API beyond auto-generated CRUD for bespoke business logic. The Admin UI built with Next.js and the Keystar UI component library supports custom pages, branded navigation, and internationalized interfaces. OpenTelemetry tracing provides observability into operations, queries, and hook execution. Deploys via Docker or any Node.js host with Prisma managing schema evolution. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

"Throw it on a haste and send the link" entered developer vocabulary because of Hastebin (haste-server), the minimalist open-source pastebin. Written in Node.js with three stated design goals - be really pretty, be really simple, be easy to set up - it does one job precisely: paste code, logs, stack traces, or config snippets, press save (or Ctrl+N for a new one), and get a short random-key URL to share. Syntax highlighting renders pastes readably across common languages, a raw view serves plain text for curl and scripts, and duplicate-and-edit makes iterating on a shared snippet trivial. The killer workflow is the terminal: with the haste-client utility or a one-line shell function, `cat error.log | haste` prints a shareable URL straight from stdout - the fastest route from a broken build to a colleague's eyeballs. Storage is pluggable through a simple adapter interface: filesystem by default, Redis with optional key expiration for pastes that should age out, and configurable key length, maximum paste size, and static documents. Self-hosting matters here because pastes often contain internal logs and stack traces that should never sit on a public pastebin - your instance keeps them inside your network, under your retention rules.

Built by an agency in 2011 and refined by real client work since, Cockpit is a headless CMS whose pragmatism is earned. It's a pure content backend: model your data, let editors manage it, and fetch it over REST or GraphQL from any frontend - React, Vue, Flutter, a static site generator, or an IoT dashboard. Content modeling covers three shapes: Collections for repeatable items (posts, products, events), Singletons for one-off content (settings, about pages), and Trees for hierarchies (navigation, categories), all assembled from 20+ field types including relationships. The API layer is unusually capable: MongoDB-style query filtering, field selection to trim payloads, automatic image optimization through the assets API, and built-in caching. Localization is first-class with per-field multi-language content and fallback support; user management includes roles, granular permissions, two-factor authentication, and API tokens; and webhooks push changes into external workflows. Agencies get multi-tenant Spaces - several sites or clients from one installation. The operational footprint is refreshingly small: PHP plus either SQLite or MongoDB, no build steps, no toolchain, extensible through hooks, events, and addons (pages/SEO, forms, full-text search, layout components). Where enterprise headless platforms bill per seat and per locale, Cockpit is MIT-licensed and simply yours.

The CAPTCHA bargain - annoy your users and feed their behavior to Google - gets replaced with economics by mCaptcha. Instead of image puzzles, it uses SHA256 proof-of-work: every visitor's browser silently solves a small computational challenge (via a WebAssembly library) before submitting a form. Humans never notice the milliseconds; bots hammering your site must burn more compute sending requests than your server spends answering them, which makes attacks more expensive than defense - the property that also makes mCaptcha genuine DoS protection, not just bot filtering. Written in Rust, the system is fully automated: difficulty scales with traffic, so challenges stay trivial in normal conditions and harden under attack. The privacy and accessibility wins are structural rather than promised: no tracking, no profiling, no user-pattern data collection, and no visual puzzles that exclude users with visual or cognitive impairments - the design was published in Communications of the ACM. Rate limiting is IP-independent, so users behind NATs, VPNs, or Tor get the same experience instead of endless challenge loops, and proofs resist replay attacks, neutering captcha farms. Migration is deliberately easy: the API is compatible with reCAPTCHA and hCaptcha, making it a drop-in replacement. AGPL-licensed core with proprietary-friendly client libraries.

ILLA Builder turns internal tool development from weeks of custom frontend work into hours of drag-and-drop assembly, combining a visual canvas of 60+ UI components with direct connections to over 20 data sources. The TypeScript frontend, powered by ILLA Design, offers data grids backed by MUI X Data Grid Premium, charts, forms, rich-text editors, PDF viewers, QR code scanners, calendar widgets, map embeds, and video players. Each component supports Handlebars-style expression bindings that reference query results, widget state, or global variables, while the reactive execution tree resolves dependencies in topological order and re-evaluates downstream properties whenever upstream values change. Data connectors provide GUI-driven access to PostgreSQL, MySQL, MongoDB, MSSQL, Supabase, Redis, Firebase, CouchDB, Airtable, Google Sheets, Stripe, AWS S3, Hugging Face models, and REST or GraphQL endpoints without writing connector code. Real-time collaboration through WebSocket lets multiple developers edit the same application simultaneously with live cursor tracking and synchronized Redux state. ILLA Flow adds workflow automation triggered by schedules or webhooks, chaining actions across data sources. The Go backend handles application state, resources, and attribute-based access control using PostgreSQL for persistence, Redis for caching, MinIO for file storage, and Envoy for API ingress. Deploys as a single Docker container on port 2022 or scales horizontally on Kubernetes. 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.

Point OBS or a hardware encoder at Restreamer's built-in RTMP or SRT ingest and it serves your website while rebroadcasting to YouTube Live, Twitch, Facebook, Vimeo, TikTok, LinkedIn, PeerTube, and anything else that accepts RTMP, SRT, or HLS - a complete self-hosted live-streaming server from datarhei. That multistreaming normally costs a monthly Restream.io subscription; here it's one FFmpeg process per destination on your own hardware. The web UI is genuinely approachable, with a wizard that walks beginners through camera setup, while professionals get the full surface: multiple audio/video inputs (USB, RTSP network cameras, virtual devices), codec and processing settings, separate audio muxing, and hardware acceleration via Nvidia CUDA, Intel VAAPI, or Raspberry Pi. Serving your own audience is first-class - a built-in Video.js player embeds in your site, a ready-made publication website streams without any embedding work, HLS chunk sizes are tunable, and automatic Let's Encrypt handles HTTPS. Viewer and bandwidth monitoring with limits keeps traffic costs predictable, and it's GDPR-friendly: no third-party provider, no audience data stored. A fully Swagger-documented REST API drives automation. SRT support keeps latency under a second.

KrakenD processes over 18,000 requests per second on a single instance while consuming under 50MB of RAM at 1,000 concurrent connections, operating as a stateless API gateway that requires no database whatsoever. The Community Edition has earned over 2,600 GitHub stars by outperforming database-dependent alternatives like Kong and Tyk in independent benchmarks. Written entirely in Go, it uses declarative JSON or YAML configuration files that integrate directly into GitOps workflows for version-controlled infrastructure management. The gateway aggregates responses from multiple backend services into a single API call, transforms request and response payloads with field filtering, grouping, and mapping, and applies zero-trust security policies including JWT validation, OAuth 2.0, CORS, HSTS, clickjacking protection, and XSS prevention. Traffic management features include multi-layer rate limiting at both the router and proxy levels, circuit breakers for backend fault isolation, spike arrest policies, and concurrent call support that requests the same data from multiple backends in parallel for improved response times. Telemetry integrates with OpenTelemetry, Prometheus, Grafana dashboards, Datadog, Zipkin, and Jaeger for distributed tracing and metrics collection. The gateway extends through Go plugins, Lua scripting, Martian modifiers, and Google CEL expressions for custom request processing logic. AI workload routing supports OpenAI, Anthropic, Gemini, and other model endpoints with built-in fallback, retries, and load balancing. Deploy via Docker with the devopsfaith/krakend image as a single binary. 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.

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.

Agentic SOC Platform compresses hours of manual security analysis into seconds by deploying specialized AI agents that autonomously triage, investigate, and enrich security alerts. The Python/Django backend processes SIEM webhooks through Redis Streams into a modular pipeline where LangGraph-orchestrated agents extract IOCs, correlate signals, and generate Cases with severity, confidence, impact, priority, and structured verdicts. The built-in SIRP provides full case management with Alerts, Artifacts, Enrichments, Tickets, and a Knowledge base that accumulates institutional memory for both human analysts and LLM agents. Native Splunk and Elasticsearch/Kibana integrations deliver unified log search through a standardized interface so agents and analysts share identical security context. The playbook engine combines traditional SOAR automation with AI-powered investigation — launching threat hunting agents, knowledge extraction, threat intelligence enrichment, and CMDB lookups from a single orchestration layer. MCP Plugin support exposes ASP capabilities to Claude Code, Codex, and OpenCode, enabling external AI agents to operate cases, search logs, query threat intelligence, and write custom modules directly. Python Modules adapt new alert sources while Playbooks orchestrate LLM analysis and automated response actions, scaling the platform with your security scenarios. Deploy via Docker Compose with all data staying inside your network. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

With 26,000 GitHub stars and consistent victories over ElevenLabs in blind evaluations, Chatterbox delivers state-of-the-art text-to-speech with zero-shot voice cloning requiring only 5 seconds of reference audio. The model family spans three architectures: Chatterbox Multilingual V3 (500M parameters, 23+ languages including Arabic, Chinese, Japanese, Korean, Hindi, French, German, Spanish, and Portuguese), Chatterbox-Turbo (350M parameters optimized for voice agents with a single-step distilled decoder achieving ~200ms time-to-first-speech), and Chatterbox-Nano (110M parameters running 3x faster than realtime on 8 CPU cores for edge deployment). Unique among open-source TTS systems, Chatterbox introduces emotion exaggeration control — adjusting intensity from monotone to dramatically expressive via a single parameter — and native paralinguistic tagging where tokens like [laugh], [cough], [chuckle], and [gasp] inject natural vocal reactions inline without post-processing. The alignment-informed inference pipeline eliminates hallucinations and repetition artifacts common in autoregressive TTS. Built-in PerTh neural watermarking embeds imperceptible forensic identifiers in generated audio for provenance tracking. Trained on 500,000 hours of cleaned speech data across all supported languages. Voice conversion scripts enable transforming existing audio into any cloned voice. Deploy via pip install with PyTorch, serve through Gradio interfaces or custom FastAPI endpoints, and expose via HTTP streaming or WebSocket for sub-200ms conversational applications. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

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.

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.

Backed by Y Combinator with 4,300 GitHub stars and growing rapidly since its September 2024 launch, Briefer delivers the first truly unified notebook-and-dashboard platform that eliminates the fragmented workflow of juggling Jupyter for analysis, Tableau for visualization, and Notion for documentation — combining all three in a single Notion-like workspace where SQL query results automatically become Python DataFrames accessible in subsequent code blocks. The built-in AI analyst understands your database schema and notebook context to generate SQL queries, write Python transformations, create visualizations, and fix errors on demand using configurable OpenAI or private LLM backends. Connect directly to PostgreSQL, MySQL, BigQuery, Redshift, Snowflake, and Amazon Athena as data sources, or upload CSV files for immediate analysis. Native point-and-click visualizations produce charts, tables, and dashboards without writing code, while interactive data apps use inputs, dropdowns, and date pickers to create parameterized reports for non-technical stakeholders. Scheduled execution runs notebooks and dashboards periodically with results delivered via Slack integration or public shareable links. Write-back queries modify production data directly from notebooks for ad-hoc pipeline testing. The architecture runs as three Docker containers — web frontend, API server, and optional AI service — backed by PostgreSQL and a Jupyter server for Python execution, deployable via single Docker command, Docker Compose, or Helm charts for Kubernetes. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPLv3 licensed.

Born at Brazilian media giant Globo.com, Thumbor answers imaging CDNs like Imgix and Cloudinary with an HTTP service where every image variant is just a URL. Ask for /300x200/smart/your-image.jpg and Thumbor fetches the original, crops and resizes on demand, and caches the result - one source file, unlimited renditions, no batch pre-generation pipeline. The "smart" in the URL is the signature feature: OpenCV-based face detection finds people in the frame and crops around them (no more thumbnails with severed heads), and when no faces exist, feature detection finds visually important corners and computes a weighted center of mass as the focal point. Beyond cropping, a chainable filter pipeline handles brightness, contrast, grayscale, blur, red-eye removal, rounded corners, rotation, watermarks, and format conversion with quality control - applied in order via URL segments. All common image formats work out of the box, and every layer is pluggable: loaders (HTTP, local, S3), storages and result storages (local, S3, Ceph, and community backends), engines, optimizers, filters, and even custom detectors, with the awesome-thumbor list cataloging the ecosystem. URL signing prevents abuse of your processing capacity. Integrations exist for Django, Rails, Node, WordPress, and most frameworks. MIT-licensed, battle- tested for over a decade.