With 12,800+ GitHub stars and over a decade of active development since 2013, wallabag is the most established open-source read-it-later application — built for readers who want complete ownership of their article archive without depending on services that shut down (RIP Pocket). The Symfony-based PHP application extracts clean article content using Graby and php-readability, stripping advertisements, pop-ups, and tracking scripts to deliver a distraction-free reading experience optimized for both desktop and mobile screens. Save articles via Chrome, Firefox, or Safari browser extensions, Android and iOS native apps, REST API, or the built-in bookmarklet — all syncing to your self-hosted instance. Organize your library with tags, automated tagging rules that classify articles by content patterns, starred favorites, and archived collections. The annotation system enables highlighting extracts and attaching notes directly within articles for research and reference workflows. Import your existing reading lists from Pocket, Omnivore, Instapaper, Pinboard, Readability, and browser bookmarks. Export articles in PDF, ePUB, MOBI, JSON, CSV, TXT, or HTML for offline reading on Kindle, Kobo, and other e-readers. Full-text search with filters by reading time, domain, language, and creation date makes retrieval instant across thousands of saved articles. RSS feed output integrates with feed readers and automation services. Docker deployment with SQLite, MySQL, or PostgreSQL persistence backends takes under five minutes. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

In-app, website, link, and email surveys feed one open-source experience management platform: Formbricks. Its distinguishing strength is targeted in-app research: a JavaScript SDK triggers surveys on user events and attributes, with segmentation rules like "power users who have not seen a survey in 10 days," so questions reach the right cohort at the right moment instead of a mass email blast. The no-code editor offers 20+ question types including NPS, CSAT, CES, matrix, ranking, and file upload, with skip logic, conditional branching, best-practice templates, and full brand theming. Responses feed built-in analytics with summaries and CSV/JSON export, and integrations push data to Slack, Notion, Google Sheets, Airtable, Zapier, and n8n, with webhooks and an open API on every tier. Because self-hosted surveys load from your own domain rather than a blacklisted third-party script host, ad blockers do not suppress them - in-app surveys reach users that Hotjar-style tools silently miss, which measurably raises response rates. Self-hosting also removes the third-party sub-processor from your privacy policy entirely: survey responses often contain PII, and keeping them on your own server matters for GDPR-sensitive and regulated industries. The Community Edition has no response caps or tier-gated features, so core functionality and your data stay accessible regardless of any subscription. Next.js on PostgreSQL, AGPLv3.

Backed by 12,400+ GitHub stars and positioned as the self-hosted alternative to FullStory and Hotjar, OpenReplay delivers the open-source session replay platform that keeps every byte of user behavior data on your own infrastructure. The JavaScript tracker captures pixel-perfect recordings of clicks, scrolls, form inputs, and navigation with automatic sensitive data masking, while simultaneously logging network requests, console errors, JavaScript exceptions, and Redux, VueX, MobX, NgRx, Pinia, and Zustand store state changes for complete technical context. DevTools mode reconstructs each session with full stack traces, GraphQL queries from Apollo and Relay, Fetch and Axios request payloads, CPU and memory metrics, and page speed waterfall charts — effectively giving developers a browser inspector tied to any user session. Product analytics surfaces conversion funnels, user journeys, click heatmaps, web vitals trends, and retention cohorts without requiring custom instrumentation. Co-browsing connects support agents to live user sessions with cursor control and WebRTC audio, enabling real-time assistance without third-party screen-sharing software. Integrations push session context into Sentry, Datadog, CloudWatch, Stackdriver, and Elastic for front-to-back debugging. Feature flags enable gradual rollouts with session-level targeting. The platform deploys to any cloud via Docker and Kubernetes with auto-scaling ingestion handling up to 50,000 sessions per month on the open-source edition. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPLv3 licensed.

DataHub maps your entire data ecosystem into a searchable, governed catalog where every table, pipeline, dashboard, and metric is discoverable and traceable from source to consumer. Originally built at LinkedIn to manage metadata at hyperscale and proven to handle 10 million+ assets and billions of relationships in production, the platform is now trusted by 3,000+ organizations including Netflix, Visa, Slack, and Pinterest. The Spring Java backend (GMS) exposes both GraphQL and OpenAPI REST endpoints, while the React frontend delivers an intuitive interface for searching, browsing, and governing data assets. The Python-based ingestion framework provides 80+ production-grade connectors extracting deep metadata from Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow, Spark, Kafka, Looker, Tableau, Power BI, Superset, PostgreSQL, MySQL, Hive, Glue, S3, Iceberg, and Unity Catalog through pull-based scheduled crawls and push-based emission via Python and Java SDKs. Automatic table-level and column-level lineage detection uses SQL parsing with 97-99% accuracy, tracing data flows from ingestion pipelines through warehouses to BI dashboards. Real-time metadata streaming via Kafka keeps the catalog continuously synchronized as schemas evolve and pipelines execute. The governance layer provides business glossary management, tag propagation along lineage graphs, domain-based organization, and fine-grained access control policies. DataHub Actions triggers automated responses to metadata changes, enabling notifications, quality checks, and downstream workflows. Elasticsearch powers full-text search with faceted filtering across entities. 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.

Browse trending titles, search anything, request it in two clicks: Jellyseerr gives Jellyfin, Emby, and Plex users a beautiful storefront for the media library. Born as the Overseerr fork that added Jellyfin and Emby support (the projects have since unified as Seerr), it handles the full request lifecycle - users authenticate with their existing media-server accounts, pick individual seasons or movies in a clean interface, and admins approve or decline from a simple queue, including on mobile. Approved requests flow straight to Sonarr and Radarr, which handle acquisition automatically, with support for separate 4K server instances. Regular library scans keep availability accurate, so users see instantly what already exists instead of requesting duplicates. A granular permission system controls who can request what - auto-approval for trusted users, quotas and limits elsewhere - and override rules adjust request routing by user, tag, or other conditions. Watchlist and blocklist functions curate discovery, notifications reach email, Discord, Telegram, Slack, Pushover, and Pushbullet, and both PostgreSQL and SQLite are supported. Localized into many languages, it turns "can you add this movie?" texts into a self-service system that runs itself.

CubeSandbox gives every AI agent its own hardware-isolated MicroVM with a dedicated Linux kernel — not a shared-kernel container but a true KVM virtual machine — booting in under 60ms with less than 5MB of memory overhead per instance, enabling thousands of concurrent sandboxes on a single server via kernel sharing and Copy-on-Write memory. The Rust-built CubeProxy exposes an E2B SDK-compatible REST API on Axum, so existing E2B Cloud applications switch by changing one environment variable with zero client code changes. CubeMaster orchestrates cluster-level scheduling in Go while Cubelet manages node-local sandbox lifecycles including create, run, pause, resume, snapshot, and destroy operations. CubeVS, the eBPF-powered network layer, enforces per-sandbox isolation with LPM trie-based egress policies entirely in kernel space — no userspace context switches — while CubeEgress provides an L7 security proxy with per-domain, per-path, and per-method allowlists plus automatic credential injection that keeps secrets invisible to sandbox code. Hundred-millisecond-granularity snapshots enable checkpoint, rollback, and parallel fork from any saved state. The volume framework supports E2B-compatible pluggable storage with independent lifecycle and cross-sandbox sharing. Production deployment uses Terraform on Tencent Cloud or Helm charts on Kubernetes, K3s, or TKE, with full ARM64 support alongside x86_64 and AutoPause/AutoResume for cost optimization. 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.

Trello's board model on your own server: Planka is an open-source Kanban project management tool. Boards organize into projects with lists, cards, labels, due dates, checklists, file attachments, and per-card stopwatch time tracking, all managed through drag-and-drop. Updates propagate over WebSockets, so a teammate moving a card or adding a comment appears instantly for everyone without a refresh - a genuine differentiator among self-hosted boards. Card descriptions use a full Markdown editor, custom fields adapt cards to your workflow, and views switch between Kanban, grid, and list layouts. Authentication supports OpenID Connect single sign-on with Google, Azure AD, Okta, or any OIDC provider - a feature Trello reserves for enterprise plans - and notifications reach 100+ channels including Slack, Discord, Telegram, and SMTP via Apprise. A REST API with 50+ webhook events supports custom integrations, and one-click board import eases migration. Built with React and Node.js on PostgreSQL, translated into 35+ languages, deployed via Docker.

With 12,400 GitHub stars and adoption across enterprises processing billions of events daily, Redpanda delivers a complete Kafka wire protocol implementation in C++ that existing Kafka producers, consumers, Kafka Connect connectors, and Kafka Streams applications connect to without code changes — eliminating JVM garbage collection pauses and ZooKeeper coordination overhead through a single binary architecture built on the Seastar framework's thread-per-core model. The integrated schema registry supports Avro, Protobuf, and JSON Schema validation directly within the broker without separate infrastructure. Tiered storage automatically offloads cold data to object storage while maintaining seamless consumer access across the full retention window. Redpanda Console provides a web-based management interface for topic inspection, consumer group monitoring, schema management, and ACL configuration. Redpanda Connect extends the platform with 200+ pre-built connectors for data pipelines between databases, cloud services, and streaming systems. Exactly-once semantics with idempotent producers and transactional guarantees ensure data integrity for financial, healthcare, and compliance workloads. The Adaptable Data Plane in version 26.1 enables per-topic performance profiles balancing throughput, latency, and durability within a single cluster. Deploy via Docker or Kubernetes with official Helm charts — a three-node cluster starts with a single rpk command. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSL 1.1 licensed (converts to Apache 2.0 after four years).

OpenLLM serves any large language model as an OpenAI-compatible API endpoint from a single CLI command, handling model download, backend selection, quantization, and port binding automatically. It supports the full spectrum of popular models including Llama 3.3, Qwen2.5, DeepSeek, Mistral, and Phi3, choosing between vLLM and PyTorch inference backends based on hardware capabilities. When vLLM is available, continuous batching with PagedAttention achieves up to 23x throughput improvement over naive serving, while GPTQ and bitsandbytes quantization reduces memory requirements for GPU-constrained deployments. The server exposes a RESTful API on port 3000 with full OpenAI client library compatibility, enabling drop-in replacement for commercial providers in any application using the standard chat completions format. A built-in web chat UI at the /chat endpoint provides immediate interactive testing without external clients. Custom model repositories allow teams to maintain private catalogs of fine-tuned models alongside the default repository that tracks the latest releases. Deployment workflows generate production-ready Docker images automatically, with Kubernetes manifest support for orchestrated scaling. Native integration with LangChain and LlamaIndex supports RAG pipelines, Transformers Agents enables tool-calling workflows, and HuggingFace Hub handles model discovery. Server-Sent Events enable real-time token streaming across all API endpoints. Backed by BentoML's production ML infrastructure. 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.

Powering Facebook, Uber, Twitter, and Booking.com, MySQL processes billions of queries daily as the world's most widely deployed open-source relational database. Its default InnoDB storage engine delivers full ACID compliance with row-level locking, crash recovery, and foreign key enforcement, making it the backbone of mission-critical e-commerce, SaaS, and financial applications. MySQL's Document Store bridges relational and NoSQL paradigms, allowing developers to work with schema-less JSON collections alongside traditional SQL tables through the X DevAPI protocol. For high availability, InnoDB Cluster combines Group Replication, MySQL Router, and MySQL Shell into an integrated solution with automatic failover, while InnoDB ClusterSet extends this across data centers for disaster recovery. The database supports multiple storage engines including MyISAM for read-heavy analytics, Memory for temporary high-speed caching, and Archive for compressed historical data. Native JSON functions like JSON_TABLE() transform document data into relational result sets, and spatial data types enable GIS applications. MySQL integrates with every major programming language through official connectors for Python, Java, Node.js, PHP, C++, and .NET, and works seamlessly with frameworks like Django, Laravel, Rails, and Spring. Replication topologies support read replicas for horizontal scaling, and the new Change Stream Applier in MySQL 26.7 enables configurable parallel transaction application with up to 1,024 workers per channel. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPLv2 licensed.

Point Openship at a GitHub repo, local folder, or prebuilt artifact and it detects your stack, builds a Docker container, provisions databases, configures domains with automatic Let's Encrypt TLS, and routes traffic through an OpenResty edge layer on ports 80 and 443. Already past 10,000 stars since launching in March 2026, it turns any Linux VPS into a managed application host. Language support covers Node.js, Python, Go, Rust, PHP, Ruby, Java, .NET, Docker, and monorepo projects with push-to-deploy CI/CD, pull request preview environments on unique subdomains, staging/production flows, and one-click rollbacks. Integrated backend services include managed Postgres, MySQL, MongoDB, Redis, persistent volumes, WebSocket proxying, object storage, and worker processes, all provisioned from the dashboard without compose files. A built-in SMTP server handles transactional email with automatic DKIM, SPF, and DMARC configuration, eliminating external email services. The edge layer serves HTTP/3 with Brotli compression, configurable cache rules, and instant purging. Real-time monitoring streams build logs, container metrics, visitor geography, and per-status-code analytics at 1.4 microsecond overhead with zero database writes. Scheduled backups cover databases and volumes with one-click restore and export. Three interfaces (web dashboard, desktop app for macOS/Windows/Linux, and the openship CLI) drive the same API, plus a Model Context Protocol endpoint for AI integration. 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.

Komodo puts every server, container, and deployment pipeline behind a single dashboard where you build, ship, and monitor Docker workloads across unlimited hosts. Lightweight stateless agents install on each connected server and report CPU, memory, and disk metrics back to the Rust-powered core, giving you real-time visibility without heavyweight monitoring stacks. Docker Compose stacks deploy directly from the UI or link to Git repositories with webhook-triggered automatic redeploys on push. A built-in CI pipeline compiles versioned Docker images from source, with optional AWS spot instances for burst build capacity. For orchestration at scale, Docker Swarm management handles node configuration, service deployment, and multi-node stack orchestration from the same control plane. Browser terminal sessions open persistent named shells on servers and inside containers, complete with shared team access and scriptable Actions that chain executions into multi-stage procedures. Infrastructure-as-code support defines all resources declaratively in TOML files within a Git repository, keeping production state version-controlled and auditable. Granular role-based access control with user groups, per-resource permissions, and OAuth through GitHub and Google keeps teams operating within defined boundaries. A full OpenAPI specification, dedicated CLI, and typesafe client libraries for Rust and TypeScript make programmatic integration straightforward. With 12,000+ stars and active development, the community continues expanding multi-architecture builds and Swarm tooling.

Keep is an open-source AIOps and alert management platform built with Python FastAPI and Next.js. It provides a single pane of glass for monitoring alerts from 110+ integrations, alert deduplication, correlation, enrichment, and filtering, YAML-based workflow automation similar to GitHub Actions, AI-powered correlation and summarization, and customizable dashboards for incident management. With 12,100+ GitHub stars, Y Combinator backing, and an Elastic partnership, Keep is the open-source AIOps platform that centralizes alert management across your entire monitoring stack into a single customizable dashboard. Alert deduplication identifies duplicate notifications across providers, correlation groups related alerts into incidents based on rules or AI-powered semantic analysis using pluggable LLM backends supporting OpenAI, Anthropic, and local models via Ollama, and enrichment adds context from external sources like CMDBs and databases. Workflow automation follows a GitHub Actions paradigm with declarative YAML files defining triggers, conditions, and actions that can query MySQL, update Jira tickets, send Slack messages, execute Python scripts, or call REST APIs. Authentication supports no-auth, database, Auth0, Keycloak, OAuth2 Proxy, Okta, and OneLogin. The Common Expression Language enables advanced alert querying, slicing, and rule-based grouping to reduce noise. On RepoCloud, deploy Keep on a dedicated VPS with Docker Compose, root SSH access, and complete control over your alert infrastructure, all under the MIT license.

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.

The integrations your SaaS product offers its own users - that is what Nango, an open-source product-integrations platform, exists to build. It solves the repetitive infrastructure work behind every third-party API connection: OAuth flows, API key handling, token refresh, encrypted credential storage, rate-limit backoff, retries, and multi-tenant connection management. It ships pre-built auth configurations for 800+ APIs. Your users connect their accounts through an embeddable, white-label Connect UI, and your backend then reads or writes data through Nango's proxy, SDKs, or REST API without ever touching raw credentials. Integration logic is written as TypeScript functions covering actions, scheduled data syncs, and webhook processing - all running on one runtime with retries, checkpointing, and per-connection logs built in. Syncs pull records incrementally on a schedule, one-way or two-way, which suits RAG pipelines, search indexing, and keeping local copies of external data current. Selected actions can also be exposed as tool schemas or through a built-in MCP server, so AI agents operate on user-connected accounts without ever handling provider credentials. Auth support spans OAuth 2.0, OAuth 1.0a, API keys, basic auth, and JWT, and observability - logs, metrics, failure detection, and a reconnect flow for expired credentials - is scoped per customer connection for easier support debugging. Works with any backend language. Self-hosting on RepoCloud keeps all customer credentials and synced data on infrastructure you control, which matters for data residency and compliance requirements.

Your Gmail, Google Workspace, or Outlook inbox, worked by an AI assistant: Inbox Zero sits on top of the account you already have. Its core idea is rules written in plain English - tell the assistant "label invoices and file the PDF to Drive" or "archive cold outreach unless they mention my company" - and it executes against every incoming message. Emails that need a response arrive with a pre-drafted reply written in your tone, learned from your email history and calendar context. Reply Zero tracks what you owe responses to and what you're waiting on; the Bulk Unsubscriber surfaces newsletters you never read (with read-rate analytics) for one-click unsubscribe-and-archive; the Cold Email Blocker auto-archives unsolicited pitches based on your own definition of "cold." Smart Filing routes attachments - receipts, contracts, PDFs - into the right Google Drive or OneDrive folder, and Slack/Telegram integration lets you read, draft, and triage without opening a mail client. Email analytics show top senders and volume trends. It is not a new email client: everything happens in your real mailbox using native filters. Self-hosting means your mail content and the LLM calls that process it run on infrastructure you control.

With 11,400+ GitHub stars and active development since 2019, Gatus is the developer-oriented status page and health monitoring tool that ships as a single statically-linked Go binary in a scratch Docker image under 20 MB — deploying in seconds while monitoring your entire infrastructure across 12 protocols from a single YAML configuration file. Define health checks for HTTP, ICMP, TCP, DNS, gRPC, WebSocket, SSH, UDP, SCTP, STARTTLS, and TLS endpoints with conditions that go far beyond simple ping: evaluate response status codes, body content with JSONPath expressions, response time thresholds, certificate expiration days, DNS record values, and IP address ranges. Each endpoint supports independent alerting through Slack, Microsoft Teams, PagerDuty, Discord, Telegram, Twilio, Mattermost, Google Chat, email, Gotify, Pushover, and custom webhook providers with configurable failure thresholds and descriptions. The built-in status page displays uptime badges, response time graphs, and incident timelines with maintenance window support for planned downtime communication. External endpoints accept push-based health reports from services behind firewalls. Prometheus metrics export via the /metrics endpoint enables integration with existing observability stacks. OIDC and Basic Authentication protect the dashboard. PostgreSQL persistence stores historical uptime data. The official Helm chart supports Kubernetes deployment with liveness probes and PVC storage, while a community sidecar auto-generates endpoint configurations from Kubernetes Ingress and HTTPRoute resources. 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.

Garnet is Microsoft Research's cache-store built on .NET that speaks the Redis RESP wire protocol while delivering up to 10x higher throughput and 4x lower tail latency than comparable alternatives on identical hardware. The Tsavorite storage engine provides a cache-friendly, shared-memory architecture scaling linearly across CPU cores, supporting both in-memory operation and tiered storage across local SSDs and Azure Storage for datasets exceeding available RAM. Cluster mode enables sharded deployments with replication, dynamic key migration for live rebalancing, non-blocking checkpointing, and automatic failover using standard Redis cluster commands. The RESP implementation covers raw strings, sorted sets, lists, hashes, sets, bitmaps, HyperLogLog, streams, pub/sub, Lua scripting, and client-side transactions, allowing StackExchange.Redis, Jedis, redis-py, and other Redis clients to connect without modification. C#-based extensibility lets developers define custom commands and new data types as server-side stored procedures, compiled and loaded at runtime without restarting the server. TLS encryption, ACL-based access control, and operation logging complete the production feature set. Deployed across Microsoft services including Windows & Web Experiences, Azure Resource Manager, and Azure Resource Graph. Nearly 12,000 GitHub stars. MIT licensed.