With 5,600+ GitHub stars and deep dbt integration, Lightdash is the open-source Agentic BI platform that treats analytics like software — defining metrics, dimensions, joins, permissions, and caching in a governed context layer that powers dashboards, AI agents, data apps, embedded analytics, and MCP server endpoints simultaneously. The dbt Write-Back feature lets business users create custom metrics and models in the UI, then automatically generates pull requests in GitHub or GitLab so every change flows through code review and CI validation before reaching production. Context-specific AI analysts automatically select relevant models and metrics, build queries, and present insights in plain English, while row-level security, user attributes, and customer-facing permissions ensure data governance at every layer. The platform connects to BigQuery, Snowflake, Redshift, Databricks, PostgreSQL, Trino, and ClickHouse through warehouse adapters, with the TypeScript monorepo built on React, Mantine, Vite, and TanStack Query on the frontend plus Node.js, Express, Knex, and PostgreSQL on the backend. Data teams build analytics with coding agents, preview changes from the CLI, validate in CI pipelines, and review charts and dashboards in pull requests — making the entire analytics lifecycle version-controlled and reproducible. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Exploratory data work, teaching material, and research code all live in the same browser tab with JupyterLab, the web workspace of Project Jupyter. Notebooks combine runnable code cells, Markdown, and rich output such as images, JSON, and Vega charts, and they use the same notebook format as the classic Jupyter Notebook. Any Jupyter kernel can execute the code, so Python, R, and other languages share one interface, and code inside plain text files such as Markdown or LaTeX can be run interactively as well. Tabs and splitters arrange documents side by side, and a notebook's cell outputs can be mirrored into their own tab to build a simple dashboard with interactive controls. Code consoles serve as scratchpads linked to a notebook kernel, while full terminals run system shells such as bash on the server. A visual debugger offers breakpoints, a call stack, and a variable explorer for kernels that support the Jupyter debug protocol. Markdown, CSV, and Vega documents show a live preview as they are edited, and built-in viewers handle images, JSON, and PDF files. The Extension Manager installs themes, editors, and renderers from PyPI, and real-time collaboration becomes available by adding the jupyter-collaboration extension. Access is protected by a generated token unless a password is set. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSD-3-Clause licensed.

Backed by Y Combinator and powering scraping infrastructure across 195 countries, Anakin delivers a production-grade web scraping API purpose-built for AI agents and RAG pipelines that need clean, structured data from sites that actively block conventional scrapers. The single Go binary server handles JavaScript-heavy SPAs through its Camoufox anti-detect browser service with automatic fingerprint rotation, while the HTTP-first handler chain tries lightweight extraction before escalating to full browser rendering — keeping response times under 2 seconds for static pages. The built-in React 19 dashboard provides visual scraping with live results, job tracking with status filters, domain configuration management with handler chain CRUD, and proxy performance monitoring via Thompson Sampling scoring. Structured JSON extraction leverages Gemini AI to transform raw HTML into typed schemas without manual selector maintenance. SDKs span Python, TypeScript, Go, .NET, Java, and Ruby, while the MCP server exposes all 21 tools directly to Claude, Cursor, Windsurf, and any Model Context Protocol-compatible agent. The hosted platform extends the open-source engine with AI web search returning full page content with citations, multi-source agentic research across 20+ sources per query, Wire pre-built actions covering 944 websites with 5,201 structured endpoints, persistent browser sessions for authenticated scraping, and website change monitoring with scheduled alerts. Deploy via Docker Compose with three containers or run the binary directly with optional PostgreSQL persistence. 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.

With over 1,200 GitHub stars, 12,000+ commits, and more than a decade of active development distributed under the AGPL-3.0 license, Cozy Cloud operates as a comprehensive personal data hub that goes far beyond file storage by connecting your documents, contacts, calendars, banking transactions, energy bills, and productivity tools into a single self-hosted platform where no third party profiles you. The cozy-stack Go binary handles file storage, CouchDB document management, job scheduling, app serving, and the REST API in a single process consuming approximately 150MB of RAM idle. Sandboxed konnectors import data from 50+ external services — banks, utility providers, telecom operators, cloud drives — running as isolated jobs via nsjail to prevent untrusted code from accessing other user data. The built-in app store serves web applications in subdomain-isolated environments with Content Security Policy headers, each app communicating exclusively through the documented REST API. Real-time synchronization via PouchDB replication and WebSocket keeps files, contacts, and documents consistent across desktop clients, mobile apps for iOS and Android with automatic photo backup, and the web interface. Security features include automatic Let's Encrypt TLS certificates, Argon2id password hashing, optional TOTP two-factor authentication, and GDPR-compliant data export via the CLI. Each user receives their own isolated instance with independent storage, database, and application configuration. 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.

With nearly 12,000 GitHub stars and a lineage tracing back to Sphinx Search, Manticore Search is the C++ search database that delivers the full-text, vector, and hybrid search capabilities of Elasticsearch at a fraction of the resource cost — starting in under a second and consuming just 40MB RAM for an empty instance. The SQL-first interface speaks the MySQL wire protocol, meaning mysql client, MySQL Workbench, and any MySQL-compatible driver connects natively without adapters, while the HTTP JSON API provides RESTful access for modern applications. Over 20 full-text operators handle proximity search, quorum matching, field-start and field-end constraints, MAYBE operators, and regex patterns, backed by stemming, lemmatization, stopwords, synonyms, wordforms, and advanced morphology in 70+ languages. Vector search with HNSW indexing enables semantic similarity queries, and hybrid mode combines keyword relevance with vector distance in a single ranked result set using a cost-based query optimizer. Real-time indexing delivers sub-second document availability after insert, sharded tables distribute data across nodes, and Galera-based synchronous replication ensures high availability. Conversational search via CREATE CHAT MODEL and CALL CHAT integrates LLM-backed responses with KNN retrieval and conversation history directly inside the database. Client libraries ship for PHP, Python, JavaScript, TypeScript, Java, Go, Rust, and Elixir. Columnar storage via the Manticore Columnar Library handles analytical workloads on large datasets. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPLv3 licensed.

With 12,600 GitHub stars and 52 releases in under a year of development, InsForge is the fastest-growing open-source backend platform purpose-built for AI coding agents — giving Claude, Cursor, and any MCP-compatible tool direct access to database, authentication, storage, compute, and AI model infrastructure through a single self-hosted stack. The native MCP server exposes every InsForge operation as callable tools, letting coding agents autonomously create database tables, manage user authentication, upload files, deploy edge functions, and ship complete full-stack applications without human intervention. The Model Gateway provides an OpenAI-compatible API that routes requests across multiple LLM providers (OpenAI, Anthropic, Google, and open-source models) with unified billing, rate limiting, and fallback logic. PostgreSQL with pgvector handles both relational data and vector embeddings for RAG pipelines, while S3-compatible storage manages file uploads and static assets. Edge Functions run serverless TypeScript code on Deno with sub-millisecond cold starts for API endpoints, webhooks, and scheduled tasks. The authentication system provides user management, OAuth2 flows, sessions, and magic links with JWT token handling built in. Site Deployment builds and serves frontend applications with automatic SSL and custom domain configuration. The CLI paired with Agent Skills enables terminal-based workflows where agents invoke InsForge operations directly from the command line. Deploy via Docker with PostgreSQL as the only required external dependency. 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.

Step right up to the magical world of Budibase, the open-source wizardry that turns the grueling task of building internal tools into a walk in the digital park. Imagine crafting mighty tools and formidable forms in less time than it takes to brew a cup of coffee, all without typing a single line of code! With Budibase, you can charm data from an ancient external database, summon information from a Rest API, conjure up figures from a CSV, or create something entirely new with Budibase's own mystical database. Design your digital dominion with a flick of the drag-and-drop, and automate your kingdom's workflows as if by magic. Join the ranks of the 75,000 teams who've harnessed the power of Budibase to accelerate their business quests. Need to safeguard data like a digital fortress, automate tasks like a sorcerer, or streamline operations like a high-speed chariot? Budibase is your trusty steed in the race to operational victory. And with RepoCloud hosting, you'll save a treasure chest of gold compared to those other cloud-dwelling giants!

With 3,100+ GitHub stars, CyberScraper 2077 replaces brittle CSS selectors and XPath queries with natural language data extraction powered by Large Language Models. Users paste a URL, describe the data they want in plain English, and the AI extracts structured results from any website — no HTML parsing knowledge required. The tool supports three LLM backends: OpenAI GPT models for maximum accuracy, Google Gemini for cost-effective extraction, and local Ollama instances for fully private scraping where URLs and data never leave your server. Built on Python asyncio with Playwright browser automation, it handles concurrent page fetching with content-based and query-based LRU caching to minimize redundant API calls. The Streamlit web interface runs on port 8501 and provides one-click export to JSON, CSV, HTML, SQL, Excel, and direct Google Sheets upload. Tor network integration routes requests through onion routing for anonymous scraping of both clearnet and .onion hidden service sites with automatic circuit management and stream isolation. Stealth mode randomizes user agents, manages cookies, and controls JavaScript execution timing to bypass bot detection systems. Multi-page scraping navigates through paginated results with automatic URL pattern detection. Docker deployment packages all dependencies including Playwright browsers into a single container. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Duckle compiles visual data integration pipelines into vectorized analytical SQL executed on an embedded columnar engine, eliminating the overhead and cloud egress costs of traditional ETL infrastructure. Engineers can construct data pipelines on a drag-and-drop canvas, connecting hundreds of data sources spanning relational databases, cloud object storage, streaming event buses, vector databases, and SaaS application programming interfaces. An interactive mapping editor enables complex joins between primary data inputs and lookup streams with typed transform expressions and live sample inspections. Built-in transformation blocks execute change data capture, slowly changing dimensions, aggregation rollups, and integrated dbt models with zero row-based metering or cloud egress fees. Teams schedule headless production executions through a dedicated web console equipped with role-based access management, execution audit trails, and automated failure alerts dispatched to webhook endpoints. Embedded Model Context Protocol capabilities allow AI coding assistants to validate schema configurations, inspect execution logs, and trigger batch workflows directly through conversational commands. Workspaces store entire pipeline definitions as individual files in version control, ensuring reproducible deployments across staging and production environments. 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.

Datasette turns a database into an interactive website and JSON API, so anyone can browse, filter, and query the data without a custom backend. Point it at SQLite files and each table gets a page with sortable columns, per-column filters, full-text search where it is enabled, and facets that tally the values in a column, including array and date columns, with suggested facets surfaced automatically. Rows have their own URLs, foreign keys become links, and a row that other tables reference links to a filtered list of those records. A "View and edit SQL" link turns whatever filters you applied into an editable query, and visitors with permission can run read-only SQL with named parameters. Useful queries save as canned queries with their own URLs, and writable canned queries add forms that insert or update rows. Every page comes as JSON and as streaming CSV. A metadata file adds titles, licenses, sources, column descriptions, units, default sort orders, and hidden tables. Access rules can apply to the whole instance or a single database, table, or query. Plugins add charts, maps for latitude and longitude columns, Atom feeds, GitHub sign-in, and custom output formats. Custom templates, CSS, and static files carry your branding. SpatiaLite support adds geospatial queries, and datasette publish deploys to Google Cloud Run, Heroku, Vercel, or Fly. 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 most widely deployed open-source BI tool, Metabase is a visualization and query layer that sits on top of your existing databases without ingesting or copying data. Non-technical users ask questions through a visual query builder with drill-through menus that answer follow-ups like "broken down by month" without writing a new query, while analysts use the native SQL editor with variables and templates for complex work. Questions assemble into interactive dashboards with filters, auto-refresh, fullscreen mode, and custom click behavior, and dashboard subscriptions email or Slack scheduled reports to stakeholders. It connects to 20+ data sources including PostgreSQL, MySQL, MongoDB, SQL Server, BigQuery, Snowflake, Redshift, and ClickHouse - always querying in place, so there is no second data store to secure, sync, or pay for, and results are always current. Models and metrics let a data team define official, reusable starting points so self-service stays consistent, collections with permissions organize content, and alerts fire when a metric crosses a threshold. The practical effect is cutting the ad-hoc query queue that lands on the data team, since non-technical staff can answer their own questions. Written in Clojure, licensed AGPL, and shipped as a single JAR or Docker image with an embedded application database - a working BI instance runs before most tools finish their installer - the open-source edition has no limits on users, dashboards, or connected databases, where commercial BI platforms price per viewer as well as per creator.

CRMs, project trackers, inventory tools - NocoBase is an open-source no-code/low-code platform for building business systems like these. Its architecture is data-model driven: you define collections and relationships first, then compose any number of interface blocks (tables, forms, kanban, charts) on top of the same model, so data structure is never coupled to a particular view. The core is a microkernel where every feature is a plugin, WordPress-style; you enable official plugins, install marketplace ones, or write your own as npm packages with server and client parts. Data sources include the main PostgreSQL or MySQL database, external databases, and third-party APIs - so you can build admin panels over existing production data instead of migrating it. Built-in infrastructure covers role-based permissions down to collection, record, and field level, workflow automation with approval steps and scheduled triggers, and audit logs; a one-click switch flips between usage and configuration modes. Because custom features live in isolated plugins with a documented lifecycle, core upgrades do not overwrite your customizations, and swapping UIs never requires data migrations since interfaces sit on independent models. Written in TypeScript on Node.js, Koa, and React under the AGPL license, it is light enough for one person to run and extend - and where no-code SaaS platforms charge per seat and per app, a self-hosted instance runs unlimited applications for unlimited users at hosting cost alone.

Livebook is an interactive notebook for Elixir where you write code alongside rich Markdown prose, execute it cell by cell with reactive dependency tracking, and deploy finished notebooks as standalone web applications with a single click. Nearly 6,000 GitHub stars reflect the Elixir core team's investment in a platform where code cells run on demand alongside Mermaid diagrams and KaTeX mathematical formulas. The Kino visualization library renders Vega-Lite charts, interactive data tables with sorting and pagination, Leaflet maps, and Mermaid diagrams directly within notebook output cells, while custom Kino components enable building interactive controls with sliders, text inputs, and buttons that feed values back into running code. Smart cells abstract high-level tasks into configurable UI widgets: query PostgreSQL, MySQL, SQLite, and BigQuery databases, train machine learning models with Axon, plot charts, and build map visualizations without writing boilerplate code. Real-time collaboration lets multiple users edit the same notebook simultaneously with cursor presence indicators and synchronized cell evaluation. Notebooks are stored as .livemd files, a Markdown-compatible format that renders cleanly on GitHub and integrates with standard version control workflows. Custom runtimes connect Livebook to existing Elixir applications for live introspection and documentation of running systems. The Docker image at ghcr.io/livebook-dev/livebook exposes ports 8080 and 8081 with password or token authentication. 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.

Trusted by thousands of organizations with over 30 million monthly downloads and 20,000+ GitHub stars, MLflow is the largest open-source AI engineering platform providing end-to-end lifecycle management for traditional ML models, LLMs, and AI agents. The OpenTelemetry-based tracing system captures complete request flows through any LLM provider or agent framework — including OpenAI, LangChain, DSPy, Vercel AI, PydanticAI, and smolagents — with one-line auto-instrumentation that tracks inputs, outputs, token usage, and costs at every intermediate step. MLflow's evaluation engine offers 50+ built-in metrics and LLM judges for systematic quality assessment, detecting issues across correctness, latency, adherence, relevance, and safety dimensions before code reaches production. The Prompt Registry versions, tests, and deploys prompts with full lineage tracking while automated optimization algorithms improve prompt performance using evaluation feedback. The AI Gateway provides a unified API endpoint for all LLM providers, enforcing rate limits, cost controls, and access policies across the organization. MLflow 3.0 introduces the LoggedModel abstraction linking traces, metrics, and prompts to specific model versions across Python, TypeScript, Java, and R SDKs. The model registry manages deployment workflows with automated quality gates, while experiment tracking records parameters, metrics, and artifacts across training runs. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache License 2.0 licensed.

With 37,000 GitHub stars and over 45 million downloads powering 500,000+ deployed projects, Directus is the most widely adopted open-source backend platform that connects to your existing SQL database without requiring schema migrations or data duplication. Point it at PostgreSQL, MySQL, MariaDB, MS SQL, SQLite, OracleDB, or CockroachDB and it instantly generates production-ready REST and GraphQL APIs complete with filtering, sorting, pagination, field selection, and relational queries — all derived from your actual schema with zero configuration. The visual Studio provides a full no-code management interface where non-technical teammates create content, manage assets, build dashboards, and configure access policies without engineering involvement. Field-level granular permissions govern every API request and Studio action through composable policies applied to roles, users, and AI agents identically. A built-in AI Assistant writes copy, translates content across languages, creates records, and routes items for review directly within the Studio interface. The native Model Context Protocol server connects Claude Desktop, Cursor, ChatGPT, or any MCP-compatible tool to your live data governed by the same access policies. Real-time WebSocket subscriptions push collection changes instantly for collaborative editing and live dashboards. Extensibility covers custom endpoints, hooks, interfaces, displays, layouts, modules, and operations. Deploy via Docker with environment-variable configuration or use Directus Cloud for managed hosting. 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 with free self-hosting.

With over 30,000 GitHub stars and benchmarks showing 25x the throughput of single-threaded Redis, DragonflyDB is a modern in-memory data store that eliminates the need for complex Redis Cluster deployments by fully utilizing every CPU core on a single machine. Its shared-nothing, thread-per-core architecture written in C++ supports over 200 Redis commands and 13 Memcached commands, making it a true drop-in replacement that requires zero application code changes. A single DragonflyDB instance scales vertically from 8GB to 768GB of RAM across up to 64 cores, replacing entire Redis Cluster topologies with one process while maintaining full compatibility with Strings, Hashes, Lists, Sets, Sorted Sets, Streams, JSON, and Bloom Filters. The novel dashtable data structure and cache eviction algorithm achieve higher hit rates than LRU and LFU with zero memory overhead per entry. Forkless point-in-time snapshotting eliminates the memory spikes associated with Redis BGSAVE, while automatic backup scheduling via cron syntax supports both local disk and AWS S3 cloud storage. Primary-replica replication follows the Redis replication protocol up to version 6.2, and Prometheus-compatible metrics at the default port enable Grafana monitoring dashboards out of the box. DragonflyDB also exposes an HTTP admin interface on its main TCP port for operational monitoring. 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.

Portabase takes a zero-trust approach to database backups: lightweight Rust/Tokio agents deploy next to each database, encrypt dumps with AES-GCM before data ever leaves the host, and poll the Next.js control plane outbound every five seconds requiring zero inbound firewall rules. This architecture contains blast radius if the dashboard is compromised while supporting ten engines with stable backup and restore: PostgreSQL 12 through 18, MySQL 5.7 through 9, MariaDB 10 and 11, MongoDB 4 through 8, SQLite 3.x, Redis 2.8+, Valkey 7.2+, Firebird 3.0 through 5.0, Microsoft SQL Server 2017 through 2022 including Azure SQL, and Docker volumes on Engine 20.10+. Encrypted backups store on configurable backends including local filesystems, any S3-compatible provider (AWS, MinIO, RustFS), Google Cloud Storage, and Azure Blob Storage. Cron-based scheduling with Grandfather-Father-Son retention policies automates backup lifecycle management, while on-demand restore targets any compatible server for cross-environment recovery. The CLI installs agents with a single command and auto-updates when new versions ship. A RESTful API with MCP server integration enables automation from CI/CD pipelines and AI agent workflows. Developed by a non-profit under Apache-2.0. 1,270+ stars and 174 releases since October 2024. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console.

libSQL bridges the gap between SQLite's legendary simplicity and the server-accessible database model developers expect from PostgreSQL and MySQL, adding network access, replication, and vector search while maintaining full file format and API compatibility. The sqld (SQL daemon) component transforms SQLite into a network-accessible database server accepting queries via HTTP with JSON payloads, WebSocket connections, and a Hrana protocol optimized for low-latency edge access. Client libraries for TypeScript, JavaScript, Rust, Go, and Python connect to sqld identically to any traditional client-server database, while the LD_PRELOAD compatibility layer enables switching existing SQLite applications from local to remote mode without code changes. Embedded replicas synchronize a local SQLite copy inside your application process with the primary server, delivering sub-millisecond read latency while maintaining consistency through streaming replication. Bottomless replication continuously backs up database state to S3-compatible object storage with generation-based snapshots and WAL page shipping, providing point-in-time recovery without manual backup scheduling. Native vector search enables semantic similarity queries directly within SQL using cosine distance functions, eliminating the need for external vector database infrastructure. Read replica support distributes query load across multiple sqld instances, and integration with mvSQLite adds multi-version concurrency for high-availability deployments. Created by Turso with 17,100+ stars and active production deployment. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.