GEOInflow is a self-hosted analytics platform that shows website owners which AI crawlers visit their pages, what those crawlers read, and how much traffic and revenue AI search actually sends back. Import a sitemap, CSV, or JSON inventory and the coverage report compares it against observed crawl logs, flagging important pages that no AI crawler has ever requested and directories where coverage keeps dropping. The built-in catalog recognizes 61 AI crawler identities, including crawlers from OpenAI, Anthropic, Perplexity, Google, Microsoft, ByteDance, Baidu, Kimi, and Tencent Hunyuan, and separates training, AI search, and user-triggered visits. Verification combines declared user agents with official IP ranges and DNS evidence, so a spoofed crawler name never counts as a confirmed visit. Browser tracking connects AI search referrals to landing pages, custom events, goals, funnels, and conversions, letting teams measure whether visibility in AI answers turns into signups and sales. Alongside the GEO reports, teams get pageviews, unique visitors, referrers, geography, devices, heatmaps, retention, and visitor paths, with CSV, JSON, and ZIP exports for any selected scope. Workspaces, team permissions, and public sharing links let agencies and publishers give each client or department its own dashboards without exposing raw data or other sites. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Frappe Insights delivers a self-hosted business intelligence platform where non-technical users build complex analytical queries without writing SQL. The visual query builder uses Ibis under the hood to compose optimized SQL from drag-and-drop column selections, filters, aggregations, and group-by operations — translating point-and-click interactions into performant database queries across MySQL, PostgreSQL, DuckDB, and BigQuery. The join editor provides a graphical interface for defining multi-table relationships, letting analysts connect data across schemas without understanding foreign keys or join types. The chart builder renders interactive visualizations using Apache eCharts with support for bar, line, area, pie, scatter, funnel, and pivot table chart types — each configurable with axes, colors, legends, and formatting options. Dashboards combine multiple charts into shareable views with layout customization, auto-refresh intervals, and filter propagation across widgets. Data source management handles connection pooling across multiple databases simultaneously, enabling cross-database analysis in single queries. Server scripts extend query capabilities with custom Python transformations for complex business logic that visual tools cannot express. Built on the Frappe Framework's full-stack architecture, deployment uses Docker via the official easy-install script that provisions the complete stack including MariaDB, Redis, and Nginx. 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.

Point your routers at Akvorado and every NetFlow, IPFIX, and sFlow record crossing your network becomes a chart you can interrogate. The web console opens on a live summary of flows per second, exporter count, and traffic split by autonomous system, port, protocol, country, and address family. From there, the visualize page turns stored flows into stacked, line, grid, and heatmap time series, plus Sankey diagrams that show how traffic moves between networks, interfaces, and countries. Filters use a simple SQL-like syntax, so a question like which customers pulled traffic over a transit link last night becomes a query, not a support ticket to your future self. Because the outlet polls each exporter with SNMP or gNMI, flows arrive wearing real interface names, descriptions, and speeds instead of raw ifIndex numbers nobody can read. GeoIP lookups attach country and city to addresses, classification rules tag providers, peers, and connectivity types, and optional BMP sessions add AS paths and BGP communities to every flow. Retention is tiered: raw flows keep full detail for recent days while one-minute, five-minute, and hourly rollups stretch summaries across a year of history. A Grafana plugin is available too, so the same flow data can sit on the dashboards your team already watches. 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.

Oh My CPA gives a CLIProxyAPI gateway a proper control room, where providers, OAuth credentials, client keys, model routing, and the cost of every request are managed and watched from one self-hosted console. You add providers such as Codex, Claude, Gemini, xAI, DeepSeek, Vertex AI, and OpenAI-compatible services, each with credentials, retry and error policies, priority, weight, and an enable switch the gateway actually enforces. OAuth accounts are signed in from the console, with quota window readings, refresh schedules, and per-credential model aliases kept next to the keys they belong to. Client keys can be created, named, and revoked, and those names follow the traffic into request records and filters so you always know which key spent what. The dashboard follows request volume, token throughput, cache hit rate, and cost from the last fifteen minutes out to ninety days, with a year-long token heatmap for the long view. Insights compare keys, models, providers, and credentials against the previous period, while the live routing view shows which credential each request travelled to and whether it was rerouted. Every request stays searchable, with duration, time to first token, token breakdown, and the raw log in a detail drawer. A playground tests any routed model with text and images before your users do. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

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.

Chartbrew transforms raw database queries and API responses into polished, shareable dashboards without requiring a data engineering team. Connect to MySQL, PostgreSQL, MongoDB, Firestore, or any REST API, then build datasets using the visual query editor with syntax highlighting and auto-completion. Charts render through Chart.js with line, bar, pie, donut, radar, polar, KPI card, and table visualizations, each customizable with colors, legends, filters, and goal indicators. An AI assistant accelerates dashboard creation by generating queries and suggesting chart configurations from natural language descriptions of the metrics you want to track. Reusable datasets let teams prepare data transformations once and share them across multiple charts, while automatic scheduling through BullMQ and Redis refreshes data at intervals from every 10 minutes to monthly. The embed feature generates standalone chart URLs for insertion into external websites, internal tools, or customer portals, and the Reporting API enables programmatic dashboard management and automated report delivery. Team workspaces with role-based permissions control who can view, edit, or manage data connections. Nearly 4,000 GitHub stars reflect steady community adoption. The platform runs on Node.js with Express and Sequelize ORM, supporting MySQL or PostgreSQL as its application database. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. FSL-1.1-MIT licensed (converts to MIT two years after each release).

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.

Consistently ranked the most loved and most wanted database in developer surveys, PostgreSQL powers mission-critical workloads at Apple, Instagram, Spotify, and the U.S. Federal Aviation Administration with an architecture refined over nearly four decades since its origins at UC Berkeley. Its native JSONB type stores JSON in an indexed binary format with GIN and GiST index support, enabling document-store capabilities that eliminate the need for a separate NoSQL database in many architectures. The extension ecosystem exceeds 1,000 add-ons: PostGIS provides ISO-compliant geospatial queries, pgvector enables AI embedding similarity search, TimescaleDB adds time-series hypertable compression, and Citus distributes tables across nodes for horizontal scaling. PostgreSQL supports declarative partitioning by range, list, or hash, parallel query execution across multiple CPU cores, and four transaction isolation levels including full Serializable. Streaming replication provides physical standby servers with synchronous or asynchronous modes, while logical replication enables selective table-level change data capture through the Write-Ahead Log. Stored procedures run in PL/pgSQL, PL/Python, PL/Perl, and PL/V8 JavaScript, and advanced indexing includes B-tree, GIN, GiST, SP-GiST, BRIN, and hash types. Full-text search is built in with tsvector and tsquery, and row-level security policies enforce fine-grained access control. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. PostgreSQL License (MIT-like permissive) licensed.

The de facto dashboard of observability: Grafana is the open-source frontend that turns the data stores you already run into interactive graphs. It does not store metrics itself; it connects to the data stores you already run and turns their contents into interactive dashboards. Supported sources number over 150 via plugins: Prometheus, Loki, Tempo, InfluxDB, Elasticsearch, MySQL, PostgreSQL, Microsoft SQL Server, AWS CloudWatch, Azure Monitor, Google Cloud Monitoring, and many more. Dashboards are built from a large library of panel types (time series, heatmaps, tables, gauges, logs) with template variables for reusable, parameterized views. Unified alerting evaluates rules against any connected data source, not just Prometheus, and routes notifications to Slack, PagerDuty, email, and other channels with grouping and silencing - unlike Prometheus Alertmanager, a single rule can combine a Loki log pattern, a PostgreSQL query result, and a CloudWatch metric. Dashboards serialize to JSON and data sources configure via provisioning files, so the entire observability setup can live in Git and deploy repeatably across environments. Explore mode adds ad-hoc querying outside dashboards, with split view for correlating a metric spike against the matching log lines, and access control spans organizations, teams, folder permissions, and OAuth, LDAP, and SAML integration. Written in Go and TypeScript, AGPL-licensed. Self-hosting gives you unlimited users, dashboards, and queries at flat hosting cost, without Grafana Cloud's usage-based pricing.

Most design tools stop at prototyping; Quant-UX also measures how real users actually perform with the prototype. The visual editor creates prototypes that behave like real apps - functional input widgets, animations, form validation, data binding across screens, and business logic modeled with REST requests and decision elements. Design systems are first-class, with components, design tokens, and master screens; if you design elsewhere, drop in image files or import from Figma. Testing is a shared link or QR code - no installs on the tester's side. Define user tasks up front, and Quant-UX records every session: click heatmaps show where users found (or missed) actionable elements, user journey graphs expose lost users, drop-off charts reveal where tasks stall, and success rates and task KPIs are extracted automatically into a dashboard. An A/B test operator wires two design variants into one prototype and compares task duration, success rate, and interaction counts. In-prototype surveys collect qualitative feedback alongside the numbers, and an AI assistant generates prototype fragments like styled forms on request. The RepoCloud deployment runs the full stack - frontend, backend, and WebSocket server containers over MongoDB - so all test recordings and research data stay on your infrastructure.

A personal Strava on your own server: Endurain is a self-hosted fitness platform that keeps your complete workout history, GPS routes, and health data out of a vendor's cloud. It ingests the standard device formats (.gpx, .tcx, and preferred .fit with full sensor data) via manual or bulk upload, and syncs directly with Strava and Garmin Connect so migrating years of history is straightforward - Garmin sync covers activities, gear, and body composition. The dashboard shows activity feeds with weekly and monthly statistics, routes on maps, and distance, speed, and training-volume trends over time, with definable goals that update automatically. Gear tracking is notably deep: log wetsuits, bicycles, shoes, racquets, skis, and snowboards, assign default gear per activity type, and track individual components like bike chains against replacement mileage. Multi-user support with admin and user roles, follower features, per-activity privacy settings, and configurable sign-up (email verification, admin approval) make it usable for clubs and coaches as well as individuals. Auth is serious for a fitness app: MFA TOTP, OIDC/SAML SSO, and email-based password resets via Apprise. The stack is Vue.js over a Python FastAPI backend with PostgreSQL, plus weight, steps, and sleep logging, imperial/metric units, multi-language support, and third-party app integration.

ParadeDB turns the Postgres you already run into a full search and analytics engine, so your application data, full-text search, vector retrieval, and aggregations all live in one database. Create one ParadeDB index over a table and you can run relevance-ranked BM25 queries with tokenizers, phrase matching, highlighting, and Top-K retrieval using plain SQL. The same index stores pgvector embeddings, so similarity search composes with text predicates and filters, and hybrid queries fuse both rankings when a question needs keywords and meaning at once. Aggregations push into the index too: ordinary GROUP BY queries accelerate, and Elasticsearch-style JSON aggregations return facets, histograms, percentiles, and cardinality for filterable search interfaces. Because the index updates in the same transaction as your writes, search results are never stale and there is no ETL pipeline, sync job, or second system to babysit. JOINs against the rest of your schema keep working, since search is just another index inside your system of record. Teams typically retire a separate search cluster while keeping sub-second relevance search, semantic retrieval for AI features, and faceted analytics on the data they already store. 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.

Tracking how ChatGPT, Claude, Gemini, Perplexity, and Google's AI answers talk about your brand, Elmo gives you a self-hosted dashboard for measuring and improving your AI search visibility. A setup wizard reads your website and suggests keywords, competitors, buyer personas, and tracking prompts. Behind the scenes, a worker reruns every tracked prompt on a schedule against the engines you connect, using scraping providers such as BrightData, Oxylabs, or SearchApi for real consumer experiences, or direct OpenAI, Anthropic, Mistral, and OpenRouter APIs. Each run feeds visibility scores per prompt and per model, mention tracking across names, aliases, and domains, sentiment from positive to negative, and each company's position in the answer. The Responses page filters answers by model, tag, prompt, or sentiment and highlights the passage behind each judgment. Citation analysis sorts cited URLs into your domains, competitors, social media, Google properties, and institutional sources. A share-of-voice leaderboard ranks competitors against you over time. Query fan-out shows the web searches engines ran before answering. Opportunities turns the numbers into a prioritized list of content to create, pitch, and seed. Shareable reports reach stakeholders without an account, and a REST API with TypeScript and Python SDKs plus an MCP server lets coding agents query the data. Raw engine output stays in your own database for later audit. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Trading alerts from TradingView, Amibroker, ChartInk, Excel, or a Python script turn into orders at your own broker through OpenAlgo, a self-hosted trading desk for Indian markets. One REST API handles orders, positions, holdings, funds, quotes, and market depth across more than 35 brokers, including Zerodha, Upstox, Angel One, Fyers, and Dhan, while a WebSocket feed streams live prices. Strategies can be wired together without code in Flow, a drag-and-drop canvas of data, indicator, condition, and order nodes with webhook triggers, or written in Python and scheduled with start and stop times in the built-in editor, each in an isolated process with live logs. The charting terminal places orders straight from the chart, with layouts of up to eight charts, over 100 indicators, drawing tools, and bar replay. Options traders get an option chain with live Greeks, OI tracker, max pain, straddle charts, a 3D volatility surface, a GEX dashboard, and a strategy builder with payoff diagrams. Analyzer mode runs any strategy against real market data with 1 crore rupees of sandbox capital. Semi-auto mode in the Action Center holds each order for your approval, and the AI agent charts, analyzes, and drafts strategies but pauses for sign-off on every order. Telegram alerts, a latency monitor, a P&L tracker, and Historify downloads with CSV and Parquet export cover daily operations. 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.

Unlimited domains, unlimited keywords, daily Google position checks with stored history and trend charts: SerpBear is an open-source search engine rank tracker. Retrieval works through your choice of third-party SERP APIs - ScrapingAnt, ScrapingRobot, SerpApi, SearchApi, HasData - or your own proxy IP pool, and a flexible scrape-strategy system (Basic, Custom, or Smart, set globally or per domain) works around Google's removal of the 100-results-per-page parameter by choosing how many pages to check per keyword. Google Search Console integration adds real visit counts, impressions, and click-through rates per tracked keyword and surfaces top-performing pages and countries; Google Ads integration supplies monthly search volumes and auto-generates keyword ideas from your site's content. Email notifications report position changes daily, weekly, or monthly, a built-in REST API feeds dashboards and reporting tools, and data exports to CSV. Built with Next.js on SQLite, deployed via Docker, installable as a PWA on mobile - with no per-keyword or monthly SaaS fees.

With over 400 GitHub stars and growing, Pythia transforms a local LLM into a self-calibrating geopolitical oracle that watches the entire planet and predicts what happens next — no API keys, no cloud, no cost. The Osiris-based Three.js globe frontend streams 30+ concurrent live feeds including GDELT geopolitics, armed conflict events, USGS earthquakes, NWS storm polygons, EONET disasters, FIRMS wildfires, Polymarket crowd odds, cryptocurrency and commodity prices, UNHCR displacement data, WHO disease outbreaks, and WFP food insecurity indicators. The FastAPI backend fuses these heterogeneous sources into a unified world brief, pipes it through Ollama, and generates located predictions across 24-hour, weekly, monthly, and yearly horizons — each carrying a probability, reasoning, and geocoordinates that fly the globe to the event. A council of four specialist swarm agents — Strategist, Economist, Naturalist, and Skeptic — re-scores every forecast, surfacing consensus, dissent, and splits through Brier-weighted voting where historically accurate personas earn louder votes. The engine maintains a persistent ledger graded by an LLM judge against archived world state, producing running Brier scores and calibration charts. Signal rules fire browser notifications and webhooks when conditions match, a morning brief digest summarizes overnight changes, and the agent API at port 8088 delivers the complete world view in a single JSON call compressed to approximately 50 tokens for AI agent consumption. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

HyperDX correlates logs, metrics, traces, session replays, and errors in a single interface so engineers can resolve production incidents in minutes instead of hours. Nearly 10,000 GitHub stars reflect its role as the integrated UI layer for the ClickStack blueprint endorsed by ClickHouse. The platform connects to any ClickHouse cluster as its storage backend, working with existing table structures without requiring data migration or proprietary ingestion formats. An intuitive Lucene-like search syntax supports full-text queries and property filtering like level:err or service.name:api without needing SQL, while native JSON string querying and event delta analysis surface anomalies in high-cardinality datasets. One-click cross-signal correlation lets you jump from a log line to its distributed trace, from a slow span to associated logs, or from a frontend session replay to the backend errors it triggered. The OpenTelemetry Collector accepts telemetry via OTLP on gRPC port 4317 and HTTP port 4318, supporting automatic instrumentation for Node.js, Python, Java, Go, Ruby, and browser applications. APM tracks HTTP request latency, database query duration, and external service calls with trace waterfall visualizations. Configurable alerts trigger via webhook, Slack, PagerDuty, or email when thresholds are breached. Deploys via Docker Compose with ClickHouse, MongoDB, Redis, and the OpenTelemetry Collector. 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 1,450+ GitHub stars and a live demo on Vercel, this Bloomberg Terminal clone delivers a professional-grade financial dashboard without the $24,000 annual seat license. The Next.js 15 App Router with React 19 and TypeScript serves a single-page terminal interface optimized for constantly mutating financial data, with partial pre-rendering enabling sub-500ms initial loads even on data-heavy views. Upstash Redis caches AlphaVantage market data to minimize API calls while maintaining sub-second update latency through React Query polling with configurable refresh rates. OpenAI integration provides AI-powered market insights, sentiment analysis, and trend interpretation directly within the terminal interface. Multiple specialized views cover market data tables with bid/ask spreads, financial news aggregation with category filtering, market movers highlighting top gainers and losers, and volatility analysis with historical comparison charts. Jotai atoms manage local state for watchlists, layout preferences, and terminal sessions while React Query handles server-state synchronization with aggressive stale-while-revalidate caching. The shadcn/ui component library with Tailwind CSS delivers accessible, keyboard-navigable interface elements styled after Bloomberg's iconic dark terminal aesthetic. Security features include origin restriction, rate limiting via Redis, and Zod-based input validation on all API routes. Motion (formerly Framer Motion) animates transitions between views and data updates without layout shift. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.