OpenSEO provides an alternative to the $100+/month SEO suite monopoly by connecting directly to DataForSEO APIs on a pay-as-you-go basis — you bring your own API key and pay only for the queries you actually make. The platform delivers focused workflows for keyword research with volume, difficulty, CPC, intent, and live SERP inspection; rank tracking with historical position monitoring; backlink analysis with referring domain quality scoring; technical site audits that crawl pages and surface issues; competitor insights comparing SERP positions across keyword sets; and AI visibility monitoring that tracks brand mentions, citations, and prompts across AI models. The integrated MCP server exposes all tools to AI coding agents including Claude Code, OpenClaw, Hermes, and Cursor, while Agent Skills provide reusable SKILL.md workflows that guide agents through complex SEO research tasks. Google Search Console integration reads first-party performance data including clicks, impressions, CTR, and position metrics with URL-level index status inspection. The Prompt Explorer compares how different AI models respond to SEO-relevant queries. Self-host via Docker for personal use or deploy to Cloudflare for team access with automatic database backups. The hosted version at openseo.so adds a 28% markup on DataForSEO requests. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Search is being answered by AI crawlers first and humans second, yet most site owners cannot name a single bot that read their pages last week; Geo-Monitor answers that from the access logs you already have. A small collector sits beside Nginx or OpenResty, mounts the log read-only, and streams only new lines in batches, resuming after outages and surviving log rotation without ever touching your site's code. The console separates today, the last week, and the last month into identified requests, crawled pages, active crawlers, and trend lines, then drills into every visit with time, path, method, status code, claimed identity, and verification state. Identification and verification are deliberately different things here: a user agent only proves what a request claims to be, while a verified badge requires trusted log addresses and official IP evidence to agree. Twenty built-in identities cover OpenAI, Anthropic, Perplexity, Kimi, and Bytespider crawlers, and you can add, edit, or disable rules as new bots appear. Your sitemap syncs or imports as the content catalog, so coverage views show which pages crawlers actually reached, and collector health exposes heartbeat, backlog, and parsing problems. 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.

LinkBreeze is a self-hosted link-in-bio platform that lets you publish unlimited, fully themed link pages from your own server instead of renting one by the month. A guided setup wizard covers the admin credentials, profile, and theme, then a floating phone-frame preview refreshes as you edit while autosave stores your changes. Each page gets its own slug, theme, SEO tags, QR code, and analytics, so one install can serve a personal profile, a band, and a shop. Eleven built-in themes cover Aurora, Glassmorphism, Neon Cyberpunk, and Terminal Mono, backed by a token customizer for fonts, backgrounds, card styles, and raw CSS. Links pull in favicons automatically, accept thumbnails, and can be scheduled to appear and vanish on set dates, while embed widgets drop in YouTube, Spotify, SoundCloud, Vimeo, and Bandcamp players. A migration wizard imports profiles from Linktree, Bento, Hopp.bio, LittleLink, or an HTML or JSON export. Visitors can subscribe with an email address that you export to CSV, save your page as a vCard contact, or scan a QR code that downloads as SVG or PNG. Cookieless analytics track views, clicks, referrers, devices, and countries with hashed visitor IPs, and Plausible, Umami, Matomo, or Google Analytics can be added with one paste. The admin panel supports TOTP two-factor authentication, a UTM builder, JSON backup and restore, and seven interface languages. 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 over 31,600 GitHub stars and thousands of production deployments, InfluxDB 3 Core is the open-source time series database rebuilt in Rust on the FDAP stack — Apache Flight for high-throughput data transfer, DataFusion for vectorized SQL query execution, Arrow for columnar in-memory representation, and Parquet for compressed columnar storage. The engine delivers sub-10ms query response times on recent data and handles millions of writes per second through line protocol ingestion over HTTP, with unlimited tag cardinality eliminating the high-cardinality limitations that plagued earlier InfluxDB versions. The diskless architecture persists data as compressed Parquet files to S3-compatible object storage, Azure Blob, Google Cloud Storage, or local disk with configurable partitioning strategies, while the write-ahead log and in-memory buffer serve real-time queries against recent data before compaction. Native SQL support through DataFusion includes window functions, CTEs, subqueries, and joins, while InfluxQL maintains backward compatibility with existing InfluxDB 1.x and 2.x applications through the same query API. The embedded Python VM enables processing engine plugins and triggers that execute custom logic on write events, perform cross-database queries, and transform data in real time without external tooling. Flight SQL clients provide high-performance query access from Python, Go, Java, and Rust, and the HTTP API supports writes in line protocol format compatible with Telegraf's 300+ input plugins. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT/Apache 2.0 dual-licensed.

Automate transactional and marketing messages across email, SMS, mobile push, WhatsApp, Slack, and custom webhooks from a single visual journey canvas. Dittofeed provides the capabilities of Customer.io or Braze while keeping customer PII within your own infrastructure and eliminating volume-based pricing entirely. The drag-and-drop journey builder creates multi-trigger automations with branching logic, wait nodes, random cohort splits for A/B testing, and local timezone delivery without writing code. User segments combine trait conditions, event history, and array-based filtering through AND/OR operators with real-time evaluation. Template authoring supports both a low-code visual editor and direct HTML/MJML input, with templates reusable across journeys and one-off broadcasts. Data flows in through Segment integration, Reverse ETL connections, or the REST API with Web, Node.js, and React Native SDKs. Message delivery routes through SendGrid, Amazon SES, Twilio, or SignalWire with per-channel analytics tracking opens, clicks, bounces, and unsubscribes. Authentication supports Keycloak, AWS Cognito, and GCP OAuth for enterprise SSO. Embeddable iframe and headless React components let SaaS platforms white-label journey builders into their own products. Deploy on RepoCloud with a dedicated VPS for full GDPR compliance under the MIT license.

Meteroid delivers the billing infrastructure that SaaS companies need when Stripe Billing gets too rigid and building in-house gets too expensive. The Rust backend ingests usage events via REST API or Kafka with deduplication by event ID and customer ID, storing time-series data in ClickHouse for sub-second aggregation queries across billions of events. Billable metrics transform raw events — API calls, compute time, tokens, storage, transactions — into accurate charges using configurable aggregation functions, dimensions, and filters without pre-aggregation. The plan builder supports any pricing structure: flat rate, per-unit, tiered graduated, tiered volume, package, and hybrid combinations with multiple price components per plan. Versioned plans enable pricing changes without affecting existing subscribers through grandfathering, while experiments let you A/B test pricing with controlled rollouts. Subscription management handles the full lifecycle — creation, upgrades, downgrades, mid-cycle proration, scheduled changes, and cancellation with configurable grace periods. The TypeScript frontend provides a complete web dashboard for managing customers, plans, subscriptions, invoices, and revenue analytics with MRR tracking, churn analysis, and cohort insights. Automated invoice generation handles complex scenarios including usage-based line items, credits, discounts, and tax calculations with PDF rendering. Stripe Connect integration enables payment collection directly through the platform. 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.

Website analytics, uptime monitoring, and server status - three tools most teams run separately - combined in Tianji, an open-source observability platform. The analytics layer tracks page views, unique visitors, referrers, and UTM parameters with a lightweight cookie-less script, which keeps collection GDPR and CCPA friendly. The uptime monitor checks availability and latency on configurable intervals, accepts passively reported results, and publishes public status pages for incident communication. Server status agents report CPU, memory, disk, and network metrics with threshold-based alerts, and notifications route through webhooks, Slack, Telegram, and other channels with noise control. It also includes anonymous telemetry for tracking deployments of your own open-source projects, surveys, waitlists, team collaboration, and an OpenAPI interface for integrations and exports. The consolidation is the point: traffic analytics, uptime checks, and server metrics share one interface and one alerting layer, so diagnosing an incident does not mean hopping between Google Analytics, Uptime Kuma, and Prometheus - and the built-in public status pages replace a separate paid Statuspage-style subscription. Because collection uses no cookies with IP truncation and aggregation by default, basic traffic measurement requires no consent banner. Built in TypeScript under the Apache 2.0 license and inspired by Umami and Uptime Kuma, it is deliberately right-sized for independent developers and small SaaS teams whose monitoring needs are real but lightweight.

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.

Most habit trackers punish a single missed day, so Neohabit lets you build routines that happen X times in Y days, like three workouts in five days or one deep-work session every three days, and adjust the target mid-streak as the habit gets easier. Your progress renders as GitHub-style contribution heatmaps in three styles: monochromatic grids for simple check-ins, numeric grids that record values such as calories, spending, reps, or hours up to two billion, and fractured grids that split each period into up to sixteen segments for habits done many times a day. Related habits group into projects with a one-dimensional daily view, and skill trees let you plan progressions, for example raising a reading target from twenty minutes to an hour in planned steps. You can ease into a new routine by starting at once in four days instead of daily, track things you want to reduce as well as build, hover any cell for period details, and rearrange projects and habits by dragging them. Multiple accounts, light and dark themes, keyboard shortcuts, and a polished mobile browser interface round out daily use, and a single command brings the whole thing up with prebuilt images ready to go. 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.

Page views, referrers, browsers, and screen sizes - Ackee delivers the analytics developers actually check, from a deliberately minimal Node.js and MongoDB stack that skips both Matomo's weight and Google Analytics' cloud dependency. Its defining constraint is anonymization: no cookies, no unique user tracking, and a multi-step anonymization process that keeps visitors unidentifiable while the aggregate numbers stay useful. In its default anonymous mode Ackee collects no personally identifiable information at all, which means GDPR and CCPA compliance out of the box and no cookie consent banner on your sites. A detailed mode adds screen size, language, and per-visit referrers - still without cookies or fingerprinting. Integration mirrors the Google Analytics pattern: create a domain in settings, drop the generated ackee-tracker snippet into your pages, and data appears in a clean single-page dashboard. One instance tracks multiple domains, and custom events capture button clicks, signups, and conversions. The distinctive engineering choice is the fully documented GraphQL API: everything the dashboard shows comes from that API, so you can query active visitors, average duration, and view statistics programmatically, feed data in from apps and services beyond websites, or build an entirely custom interface on top. If you want bare-minimum analytics with a real API and zero privacy anxiety, this is the tool.

Analytics teams, and increasingly the AI agents working beside them, get one shared definition of the business from Malloy Publisher instead of a pile of SQL queries that each compute revenue slightly differently. You model what your data means once: the sources, the joins, the measures, and who may see what. Agents then compose queries against that model over MCP, so there is no wrong join, no invented column, and no fan-out that double-counts while looking plausible, and the same question returns the same numbers tomorrow. Applications and BI tools reach the same model over REST, and unattended agents use the same governed path instead of scraping raw tables. Reports declared in Malloy read top to bottom or lay out as tile grids you can build by dragging, no-build HTML data apps ship inside the package, and the built-in Console lets anyone browse environments, packages, models, and results without writing code. Access rules decide who may query and which rows they see, discovery curation decides what is even visible, and a single annotation materializes an expensive source or pre-aggregates it on a schedule. Local files work through built-in DuckDB, while BigQuery, Snowflake, Postgres, Databricks, and others connect when the data already lives there. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Serious endurance training should not require renting your own training history back by the month. OpenAthlete plans your season as blocks, weeks, and sessions, with A, B, and C races marked and illness or travel periods that move the sessions they cover. You build structured workouts from your own zones, pace, power, heart rate, or percentages of VMA and FTP, save them to a reusable library, and send them straight to Garmin, COROS, and Suunto watches at the next sync. Completed activities arrive from Garmin, COROS, Suunto, Polar, and Strava, or as FIT, GPX, and TCX files, and each interval is graded against what was planned. Analysis covers detected climbs, time in zones, aerobic decoupling, gradient-adjusted pace, and weather, with non-destructive fixes for heart-rate spikes. Progress views track records by distance and duration, critical speed and power, and fitness, fatigue, and form projected over your upcoming sessions, alongside HRV, resting heart rate, and sleep from your watch. Coaches see compliance, volume, and form for every athlete on one screen, get alerts for reported pain or inactivity, and exchange comments and real-time chat with athletes. A calendar feed keeps Google, Apple, and Outlook in step, and the web app installs on your phone home screen. 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.

Logchef gives engineering teams a self-hosted workspace to search, live tail, chart, and alert on logs stored in ClickHouse or VictoriaLogs. Queries start in the explorer with LogchefQL or a native SQL or LogsQL editor, beside a field sidebar with value counts, a histogram, and a sortable results table. Live tail streams matching rows as they arrive. Dashboards combine ClickHouse and VictoriaLogs panels on one grid, with time series, stat, breakdown, and table views that can be dragged and resized. Scheduled alerts run a query on a set frequency, compare it with a threshold, then email team members or post JSON to webhooks. An AI assistant turns plain-language questions into queries, and Ask Chef investigates an incident, citing the rows behind each statement and listing what remains unproven. Teams, users, and roles decide who can see each datasource, with OIDC or built-in email and password sign-in. A command-line client queries, explains, and tails logs from the terminal, and a built-in MCP endpoint serves AI assistants. 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.

Listening to music across Spotify on your commute, Jellyfin at your desk, and Sonos in the living room usually leaves your play history fragmented across walled gardens, which is why multi-scrobbler unifies over 30 music sources and routes every track to your chosen scrobble backends automatically. Instead of relying on brittle browser plugins per device, you configure active polling or ingress webhooks once for sources including Plex, Navidrome, Subsonic, Apple Music, Deezer, YouTube Music, MPD, VLC, Chromecast, and Music Assistant. Every detected play passes through an intelligent pipeline that verifies listen duration thresholds, cleans messy track titles or featured artist tags using regex rules, and enriches missing metadata against the MusicBrainz, Spotify, or Rocksky catalogs. Before forwarding a play to Last.fm, ListenBrainz, Libre.fm, Maloja, Koito, teal.fm, Discord Now Playing, or Tuneshine, the engine checks temporal and title similarity scores to block duplicate scrobbles. When a downstream service goes offline, failed scrobbles enter a persistent retry queue so you never lose listening history, while Gotify, Ntfy, and Apprise webhooks alert you to source issues. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

CPA Manager Plus is a self-hosted observability dashboard and management panel that tracks every AI request flowing through your CLI Proxy API gateway, breaking down failures, costs, and account health across providers like OpenAI, Anthropic, xAI, and Codex in one interface. When a request fails, drill into the persistent history to see status codes, affected models, latency, and redacted failure evidence without exposing raw response bodies. The cost analytics engine breaks down token consumption and estimated spend by model, provider, account, API key, project, channel, and time range while tracking input, output, reasoning, cache, and service-tier pricing semantics separately. Model prices sync automatically from models.dev with LiteLLM and OpenRouter fallbacks, and you can add local overrides for aliases or internal models. For teams running Codex or xAI accounts, the health inspector reads quota windows, reset evidence, credential state, and workspace status on a configurable schedule, routing credential failures into an action queue for review rather than letting them silently degrade throughput. Deploy the Lightweight Panel to replace your existing CPA management UI without adding another service, or run Full Mode as a single Docker container that adds the Manager Server with persistent SQLite storage for request history, historical analytics, and automated account inspections. Export or import request history as JSONL for external analysis, and back up the SQLite files alongside your encrypted management keys. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Web analytics tools ignore native mobile, desktop, and game apps; Aptabase was built for exactly those. If Firebase Analytics would force a privacy-policy footnote you don't want to write, this is the alternative - session-based metrics with no cookies, no IDFA or GAID, no device fingerprinting, and a daily-rotated salt that makes cross-day re-identification mathematically impossible. That design means GDPR, CCPA, and PECR compliance out of the box and "Data Not Collected" App Store privacy labels without ATT prompts. The SDK coverage is the widest in its category: eleven first-party libraries spanning Swift, Kotlin, Flutter, React Native, Tauri, Electron, .NET MAUI, NativeScript, Unity, Unreal Engine, and JavaScript for web - each MIT-licensed, following platform conventions, and accepting a custom host parameter that points at your instance. Integration is minutes: initialize with an app key, call trackEvent with optional properties, and the dashboard shows sessions, events, app versions, OS breakdowns, and country-level geography. The self-hosted stack is a .NET server over PostgreSQL for metadata and ClickHouse for high-volume event ingestion, giving cloud-parity features under an AGPL license. For indie iOS/Android apps, Electron and Tauri tools, and Unity or Unreal games, it replaces Firebase without the Google entanglement.

Stocks, ETFs, crypto, bonds, precious metals, and cash across every account and currency, in one privacy-first dashboard: Ghostfolio is open-source wealth management software. The deliberate design decision is no brokerage linking: positions enter by manual entry, CSV import, or the REST API, so your holdings never pass through a data aggregator. Performance is measured as return on average investment across Today, WTD, MTD, YTD, 1Y, 5Y, and Max timeframes, with benchmark comparison against indices like the S&P 500, dividend tracking, and allocation breakdowns by asset class, region, and sector. A static X-ray analysis flags concentration and other portfolio risks, and a FIRE calculator projects progress toward financial independence. Multi-currency support converts holdings using historical exchange rates, market data comes from Yahoo Finance and CoinGecko among other pluggable providers, and everything exports back out as CSV or JSON. Built with Angular and NestJS on PostgreSQL and Redis, shipped as Docker images for amd64 and ARM, with a mobile-first PWA interface, dark mode, and a distraction-free Zen mode. AGPL-licensed.

With over 70,000 GitHub stars and billions of documents indexed across enterprises like Uber, Netflix, and Wikipedia, Elasticsearch is the world's most deployed search engine, powering everything from application search to security analytics and AI-driven retrieval. Built on Apache Lucene, its inverted index architecture delivers sub-second full-text search across terabytes of data with BM25 relevance scoring, configurable analyzers for 30+ languages, and fuzzy matching for typo tolerance. The kNN vector search API uses the HNSW algorithm for approximate nearest neighbor queries on dense and sparse embeddings up to 4,096 dimensions, while reciprocal rank fusion enables hybrid search that combines lexical and semantic signals in a single query. Elasticsearch's aggregation framework supports metric, bucket, and pipeline aggregations for real-time analytics directly on indexed data without separate OLAP infrastructure. The cluster distributes data across shards with automatic rebalancing, replica allocation, and cross-cluster search for multi-datacenter deployments. Kibana provides the visualization layer with dashboards, Lens visual editor, Canvas for pixel-perfect reports, and Discover for ad-hoc log exploration. Ingest pipelines with processors like grok, dissect, GeoIP enrichment, and inference handle data transformation at index time, and ES|QL brings pipe-based query syntax with joins and columnar processing. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL v3 licensed.