Maxun
With over 16,800 GitHub stars and growing rapidly, Maxun has become the go-to open-source platform for teams who need structured web data without writing scrapers. The TypeScript-based platform provides a no-code visual recorder that captures point-and-click interactions in real-time browser sync, automatically generating reusable extraction robots that handle pagination, infinite scrolling, and dynamic content. LLM-powered extraction accepts natural language prompts like "Extract 10 companies from the Y Combinator website" without requiring a URL — Maxun identifies the source and performs the extraction autonomously. The platform handles authentication-protected pages, adapts automatically to website layout changes through self-healing selectors, and exports directly to Google Sheets, Airtable, or any destination via webhooks. Robots run on configurable schedules with cron-based timing, turning any website into a perpetually fresh RESTful API endpoint. The crawl engine discovers and processes linked pages across entire domains with configurable depth and URL filtering, while the search capability runs automated queries across multiple engines. Official Node.js and Python SDKs provide programmatic control over robot creation, execution, and data retrieval, with MCP integration enabling direct connection to AI tools like Claude. The n8n community node enables workflow automation without custom code. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPLv3 licensed.
Grimmory
Consolidate fragmented collections of digital novels, graphic novels, manga, and audiobooks into Grimmory, an open-source media library server that combines automated file sorting with rich in-browser reading environments. The server indexes diverse media formats including EPUB, MOBI, AZW3, FB2, PDF, CBZ, CBR, CB7, M4B, and MP3 files across isolated storage directories. Readers explore literature through specialized browser viewports that provide customizable typography, CFI highlight annotations, two-page comic spreads with right-to-left manga modes, and chapter-based audiobook playback with sleep timers. Automated BookDrop watch folders ingest incoming files, retrieving book covers, author biographies, and community ratings from Google Books, Open Library, and Amazon APIs. Dynamic Magic Shelves organize catalogs automatically using nested boolean rule trees that filter books by page counts, genres, release dates, or narrator identities without server reload overhead. External e-readers access media catalogs through standard OPDS feeds or native Kobo and KOReader synchronization endpoints that match documents by binary content hashes. Built-in email delivery sends formatted books directly to Kindle devices with a single click, while OpenID Connect authentication enforces granular multi-user library permissions. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GNU AGPLv3 licensed.
BigBlueButton
Used daily by millions of educators and learners in over 65 languages and embedded as the default virtual classroom in Moodle Cloud, Canvas, Sakai, D2L, Jenzabar, and Schoology — together comprising more than 75% of the worldwide learning management system market — BigBlueButton has been the leading open-source web conferencing platform for education since its creation at Carleton University in 2007. The platform delivers WebRTC-based real-time audio, video, and screen sharing with a tldraw v2-powered multi-user whiteboard featuring infinite canvas support, allowing multiple participants to annotate slides and draw simultaneously. Breakout rooms support up to eight concurrent groups with collaborative whiteboards enabled by default, and polling with customizable response types lets instructors assess understanding in real time. The built-in Learning Analytics Dashboard answers three questions at a glance: who is attending, who is participating, and who is learning based on poll responses, providing actionable engagement metrics without requiring webcam surveillance. Session recording captures audio, video, slides, chat, and whiteboard annotations for asynchronous playback on any device. The plugin architecture introduced in version 3.0 enables custom extensions, while IMS LTI 1.0 compliance allows integration with Blackboard, Desire2Learn, Pearson Learning Studio, and any conformant platform without custom code. The REST API enables programmatic session management, user authentication, and recording access for custom frontends like the included Greenlight application. Version 4.0 introduces LiveKit-based media and a redesigned interface. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. LGPL-3.0 licensed.
PocketBase
An entire backend in a single Go executable: PocketBase embeds SQLite with realtime subscriptions, authentication and user management, file storage, and an admin dashboard, all behind a REST-ish API. SQLite runs in WAL mode, which outperforms client-server databases for the read-heavy workloads typical of small and mid-sized apps. Authentication supports email/password, one-time passwords, and 15+ OAuth2 providers including Google, Apple, and GitHub, with stateless tokens. Clients subscribe to record changes over server-sent events, and official JavaScript and Dart SDKs cover web, mobile, and Flutter frontends. Collections, rules, and API access permissions are managed visually in the admin UI. When you need custom logic, extend it with JavaScript hooks running in the embedded JS VM of the prebuilt binary, or import PocketBase as a Go library and compile custom business logic into your own single-file backend. File storage attaches uploads to records with thumbnail generation for images and optional S3-compatible external storage. All state lives in one pb_data directory, so backup is a directory copy and upgrade is replacing a binary - one of the lowest-maintenance backends you can run. The contrast with Firebase is the point: where usage-based pricing scales with reads, writes, and bandwidth, PocketBase runs the entire backend at flat hosting cost, and the data is a plain SQLite file you can copy anywhere. MIT-licensed.
Personal Management System
Consolidate daily to-do lists, encrypted passwords, household spending, contacts, and family photo galleries into Personal Management System, a self-hosted private command center for everyday life. Individuals can organize recurring schedules and calendar milestones with proactive notification alerts so important appointments, vehicle servicing dates, and recurring bill renewals are never overlooked. Users can balance household budgets and track expenditure across custom spending categories, calculating monthly cash flow balances while monitoring debts owed to friends or family members. Privacy-conscious users can safeguard account credentials inside an encrypted password vault featuring quick-copy buttons and secondary lock protection for sensitive personal entries. Goal setters can track multi-step personal targets and link financial milestones directly to dedicated savings pools. Home organizers can catalog contacts, log travel destinations with mapped imagery, and maintain categorized notes containing voice memos, bookmarks, and reference materials. Collectors can sort family photos and video recordings into interactive masonry galleries with built-in lightbox previews and file download tools. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.
Kite
With nearly 3,000 GitHub stars and 14 releases since its June 2025 launch, Kite delivers a lightweight Kubernetes dashboard that replaces the fragmented workflow of switching between kubectl, Lens, and separate monitoring tools with a unified multi-cluster management platform. The dashboard automatically discovers clusters from kubeconfig files and supports independent Prometheus configurations per cluster, providing real-time CPU, memory, and network charts alongside live pod log streaming with filtering and search. A built-in web terminal opens shells directly into pods and nodes without kubectl port-forward, while the Monaco-based YAML editor offers syntax highlighting and validation for in-place resource editing. The integrated AI agent, powered by OpenAI or Anthropic models via native Go SDK integrations, translates natural language into precise client-go API calls — querying cluster health, analyzing pod logs, scaling deployments, patching resources, and cleaning up failed jobs — all operating strictly within the logged-in user's RBAC permissions. Enterprise governance includes OAuth 2.0 single sign-on, multi-factor authentication, FIDO2 passkeys, granular role-based access control with per-namespace permissions, and comprehensive audit logging. Helm chart management enables browsing, installing, and upgrading releases directly from the UI, while the Docker registry integration provides quick image tag selection. Deploy via a single Docker container with SQLite or use the official OCI Helm chart with PostgreSQL or MySQL for production. 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.
GeoLens
Transforming scattered spatial files into an interactive data catalog, GeoLens empowers engineering and GIS teams to organize geospatial assets, execute semantic searches, and build interactive 3D maps on self-hosted infrastructure. Users can ingest shapefiles, GeoJSON boundaries, database tables, and Cloud-Optimized GeoTIFF rasters into a centralized inventory with automatic source freshness auditing. Natural language queries evaluate dataset relevance across spatial boundaries and thematic tags, allowing analysts to uncover hydrology networks or zoning footprints without knowing exact layer names. The browser-based composition canvas lets cartographers extrude three-dimensional building footprints, overlay elevation terrain contours, color features by attribute values, and reorder layer hierarchies with drag-and-drop ease. Finished map projects publish immediately as secure shareable web links or responsive embeds for external dashboards. Desktop GIS operators can connect directly from QGIS or ArcGIS through native OGC API Features and STAC endpoints to query live vector tiles and run spatial filters. Teams can export filtered geometries into GeoPackage, FlatGeobuf, GeoParquet, or PMTiles archives to support downstream analysis workflows. 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.
NodeBB
Forum software rebuilt on the modern web stack: NodeBB runs the classic bulletin-board format - categories, threads, local accounts - in real time, on Node.js over MongoDB, Redis, or PostgreSQL. WebSockets stream new posts into open topics as they're written and deliver instant notifications for follows, likes, and subscriptions; built-in chat supports side-by-side private conversations. The headline of recent versions is core ActivityPub federation: your forum can follow, share, and converse with other NodeBB instances, Mastodon, Lemmy, and anything else that speaks the protocol, turning an isolated community into a fediverse node. Everything beyond the common core is a plugin - more than 500 plugins and themes install in one click from the admin panel, covering SSO providers, search backends like Elasticsearch and Solr, galleries, calendars, and more. The theming engine extends base templates with SCSS/CSS on Bootstrap 5, plus a drag-and-drop widget system and custom HTML/CSS/JS injection. Operators get a real-time analytics dashboard, human-readable SEO-friendly URLs with semantic markup, multilingual UI, and full read and write REST APIs for integration. Mobile-first rendering means the same install works everywhere. For communities that outgrew phpBB but don't want Discourse's weight, NodeBB is the natural middle.
phpMyAdmin
Since 1998, phpMyAdmin has been the standard web interface for MySQL and MariaDB - the tool millions of developers, DBAs, and hosting companies reach for when a database needs inspecting, fixing, or migrating. Written in PHP, it covers effectively the entire administration surface: create, browse, alter, and drop databases, tables, views, columns, and indexes; insert and edit rows through a tabular editor; manage user accounts and granular privileges; and maintain stored procedures, triggers, and events - all without touching a command line. The SQL editor executes arbitrary queries with syntax highlighting, autocompletion, history, and bookmarkable statements, including batch queries. Import/export is a migration workhorse: read SQL, CSV, XML, and OpenDocument spreadsheets in; write out to SQL dumps, CSV, JSON, XML, PDF, Word, LaTeX, and more - the fastest path for moving a WordPress database or handing a schema to a colleague. The Designer view renders your schema as an interactive ER diagram with drag-and-drop relationship editing, and data transformations display BLOBs as images or download links inline. Server maintenance views surface configuration suggestions. Multi-server support, dark mode, and translations into 72 languages round out a tool that earns its ubiquity. GPL-licensed.
Gorse
Gorse generates personalized recommendations from your application's user interaction data through automatically trained models, requiring no machine learning expertise to deploy or operate. Over 10,000 GitHub stars and production deployments processing millions of interactions validate a multi-source architecture that merges candidates from latest-item, user-to-user, item-to-item, and collaborative filtering recommenders, then ranks them using factorization machines or LLM-based rerankers with configurable query and document templates. Multimodal content support processes text, images, and video metadata via embedding vectors stored in BF16 format, with optional Qdrant, Weaviate, or Milvus integration for distributed similarity search. The visual RecFlow editor provides a drag-and-drop interface for designing recommendation pipelines, connecting data sources to recommenders and rankers without writing configuration files. A distributed cluster separates concerns across master nodes for model training and dashboard hosting, worker nodes for offline recommendation generation, and server nodes for real-time API endpoints, all scaling horizontally behind load balancers. Online evaluation analyzes recommendation quality from recent user feedback with configurable cache sizes and expiration intervals. RESTful APIs expose CRUD endpoints for users, items, and feedback alongside recommendation retrieval with category filters and API key authentication. Stores data in MySQL, PostgreSQL, MongoDB, or ClickHouse with Redis caching. 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.
Apache APISIX
With 17,000 GitHub stars, 460+ contributors, and deployments across telecommunications, automotive, and financial services running on over 10,000 CPU cores at the largest known installations, Apache APISIX delivers a fully dynamic API gateway achieving 140,000 QPS on eight cores with sub-millisecond latency through NGINX's event-driven architecture and LuaJIT-compiled plugin execution. The 100+ open-source plugins cover authentication (JWT, OAuth 2.0, OIDC, Keycloak, LDAP), observability (Prometheus, Datadog, SkyWalking, OpenTelemetry), traffic management (rate limiting, circuit breaking, canary releases, traffic splitting), and security (CORS, IP restriction, CSRF protection) — all hot-reloadable without process restarts via etcd-based real-time configuration synchronization. Multi-protocol support handles HTTP, gRPC, MQTT, TCP, UDP, and WebSocket traffic for both north-south API access and east-west service mesh communication. AI gateway capabilities proxy requests to 20+ LLM providers with semantic caching, token-aware rate limiting, provider failover routing, and content moderation. Custom plugins extend the gateway in Lua, Go, Java, Python, or WebAssembly. Radixtree route matching handles 100,000+ routes without performance degradation. Functions as a Kubernetes ingress controller with native service discovery for Consul, Nacos, and Eureka. Deploy via Docker or Helm charts with horizontal scaling through etcd cluster coordination. 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.
Dagster
With nearly 16,000 GitHub stars, 5.7 million monthly PyPI downloads, and 400+ contributors, Dagster is the most widely adopted asset-centric data orchestration platform — replacing task-oriented schedulers like Apache Airflow with a declarative model where every pipeline is defined as Python functions producing data assets such as tables, datasets, machine learning models, and reports. The built-in asset graph provides automatic lineage tracking across your entire data platform, showing exactly how data flows from ingestion through transformation to downstream consumption in a single unified view. Declarative Automation goes beyond cron scheduling with event-driven conditions that intelligently trigger materializations based on upstream freshness, data quality signals, and dependency state. The integrated data catalog auto-generates documentation from asset metadata, ensuring it never drifts out of sync with production. Native first-class integrations connect dbt, Snowflake, BigQuery, Databricks, Fivetran, Airbyte, Spark, Great Expectations, Tableau, Power BI, AWS, GCP, and Azure without custom glue code. The web UI visualizes asset graphs, run history, schedules, sensors, and partitioned materializations with built-in alerting via Slack and PagerDuty. Dagster Pipes enables executing arbitrary code in external environments including Spark clusters, Kubernetes Jobs, and cloud functions. Deploy via Docker Compose on a single VM with separate containers for the webserver, daemon, and code locations, or use official Helm charts for production Kubernetes with K8sRunLauncher scaling each run as an independent Job. 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.
Highlight
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.
Vane
Perplexity's search experience without Perplexity: Vane deploys Perplexica, an open-source AI answer engine built as the self-hosted alternative. Instead of returning a page of links, it reads your question, searches the live web through the SearxNG metasearch engine, and composes a direct answer with cited sources. Retrieval quality comes from embeddings and similarity search: fetched pages are re-ranked against the query so the model answers from the most relevant passages rather than whatever ranked first. Two query modes cover different needs - Normal mode runs a straightforward web search, while Copilot mode generates multiple reformulated queries and actively pulls content from top matches for harder questions. Focus modes specialize retrieval for academic papers, YouTube, Reddit discussions, Wolfram Alpha calculations, or the general web. The answering model is your choice: OpenAI-compatible APIs or fully local LLMs such as Llama 3 and Mixtral through Ollama, which keeps queries entirely on your infrastructure. Because SearxNG pulls live results, answers reflect current information, and no search history is tracked.
Kopia
Engineers who have outgrown Duplicati or rsync scripts tend to appreciate Kopia's design: encrypted, compressed, content-deduplicated snapshots in Go, stored in a repository on any storage you control - S3, Google Cloud Storage, Azure Blob, Backblaze B2, SFTP, WebDAV, or a plain filesystem. Encryption is mandatory and end-to-end: every block is encrypted client-side with AES-256-GCM or ChaCha20-Poly1305 using keys derived from your repository password, and even file names never leave the machine in plaintext. Blocks are packed into 20-40 MB blobs with random names, so the storage provider learns nothing about content or structure. Deduplication is automatic and content-based - identical data across files, snapshots, and even multiple machines backing up to the same repository is stored once. Policies govern everything per-directory: compression choice, retention (hourly through annual), scheduling, and ignore rules. Incremental snapshots are point-in-time records you can mount and browse like a filesystem. This deployment runs the Kopia repository server with its web UI, centralizing backups from multiple client machines over an authenticated API - each client connects with the server URL and certificate fingerprint, and users only see their own snapshots. Error correction, high-latency-tolerant caching, and both CLI and GUI round it out.
Stalwart
With 14,000 GitHub stars and 81 releases since March 2023, Stalwart is the most protocol-complete open-source mail server available — delivering JMAP, IMAP4rev2, IMAP4rev1, POP3, SMTP, CalDAV, CardDAV, and WebDAV from a single Rust binary that compiles to a memory-safe, zero-garbage-collection executable with predictable latency under load. The SMTP server implements DMARC, DKIMv2, DKIMv1, SPF, and ARC for complete message authentication with automatic DKIM key rotation, while transport security enforces DANE, MTA-STS, and SMTP TLS reporting to prevent downgrade attacks. Built-in spam filtering with statistical classifiers, DNS blocklists, and collaborative reputation databases eliminates the need for external Rspamd or SpamAssassin deployments. Encryption at rest protects stored messages with S/MIME or OpenPGP, and automatic TLS certificate provisioning via ACME supports TLS-ALPN-01, DNS-01, and HTTP-01 challenges without manual certificate management. The ManageSieve server enables server-side email filtering rules, while full-text search indexes message bodies and attachments for instant retrieval. Pluggable storage backends support RocksDB for embedded deployments, PostgreSQL, MySQL, and S3-compatible object storage for distributed architectures. LDAP and SQL-based authentication integrate with existing directory services, and the web administration panel manages domains, accounts, quotas, and DKIM keys. Security audited with memory safety guaranteed by Rust's ownership model. 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.
Keep
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.
Kvrocks
Every Redis client you already use connects to Kvrocks without a single code change, but instead of holding your entire dataset in RAM, data lives on SSD through RocksDB, turning terabytes of memory cost into pennies of disk. An Apache Software Foundation top-level project, Kvrocks supports strings, hashes, lists, sets, sorted sets, streams, bitmaps, JSON documents, TimeSeries data points, Bloom filters, Cuckoo filters, and HyperLogLog structures, all persisted to disk with in-memory caching for hot data access. Asynchronous replication using binlog similar to MySQL provides data durability across replicas, while Redis Sentinel integration enables automatic failover when master or replica nodes fail. The proxyless centralized cluster architecture distributes data across shards while remaining fully compatible with standard Redis cluster SDKs and clients. Token-based namespaces provide multi-tenant isolation with authentication per namespace, going beyond Redis SELECT's numbered database model. RocksDB's LSM-tree storage engine provides efficient compression through configurable compaction strategies, reducing disk footprint dramatically while maintaining sub-millisecond reads for cached keys. Migration tooling includes RedisShake for Redis-to-Kvrocks live migration and kvrocks2redis for reverse migration, enabling gradual adoption without service interruption. The kvrocks_exporter exposes Prometheus-compatible metrics for monitoring, and OpenTelemetry integration provides distributed tracing. 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.