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.

With 20,500+ GitHub stars and over 6,000 organizations running it in production — including a Fortune 100 company ingesting more than 4 PB per day — OpenObserve is the open-source observability platform that replaces your entire Datadog, Splunk, or ELK stack with a single Rust binary deploying in under two minutes. Apache Parquet columnar storage with zstd compression on S3-compatible object storage delivers 140x lower storage costs than Elasticsearch while providing better query performance on a quarter of the hardware. Ingest logs, metrics, and distributed traces via native OpenTelemetry OTLP endpoints with no vendor lock-in. Query logs and traces with standard SQL, metrics with SQL or PromQL — no proprietary query language to learn. The built-in dashboard builder offers 19 chart types including time-series graphs, heatmaps, gauges, tables, and top-K lists with drag-and-drop layout combining data from all signal types. Data pipelines process, enrich, redact, or normalize ingestion streams using Vector Remap Language for real-time transformations including PII redaction and logs-to-metrics conversion. Real User Monitoring captures frontend performance with session replay. The Service Catalog provides topology-based trace analysis with side-panel drill-downs into database queries and error details. Alerting supports real-time and scheduled rules with SQL and PromQL conditions. Native multi-tenancy isolates organizations and streams with complete data separation. 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).

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.

On the factory floor, the data already exists; it is just locked inside machines, PLCs, and protocols nobody on the analytics team speaks. StreamPipes unlocks it with guided adapters for OPC UA (including a web-based node browser), MQTT, Kafka, Pulsar, REST services, and industrial controllers, turning each source into a live stream in minutes. Domain experts then drag those streams into the pipeline editor, chain processors and sinks on a canvas, and watch connection validation check schema compatibility as they build, with live preview showing real values before anything is saved. Pipelines filter, enrich, aggregate, and route machine data, raise alerts, and write results to the built-in time-series data lake, where the data explorer charts history and spots trends. Finished pipelines run under an overview that starts, stops, and bulk-manages them, while detail views expose logs, metrics, status, and the pipeline as code. Live dashboards carry the same data to shop-floor screens and operations centers, organized around assets so a line, a cell, or a single machine becomes the navigation unit. Developers extend everything with custom adapters, processors, and sinks built on the Java SDK and deployed as microservices, or drive the platform from Python, Go, and Java clients. 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.

Get ready to transform your audience into a thriving empire with Ghost, the ultimate toolkit for the modern creator on a mission to monetize their mojo. Picture this: a sleek website that screams 'you', bursting with content that captivates, newsletters that fly straight into inboxes, and a subscription service that turns followers into financiers. Wave goodbye to bland and hello to a smorgasbord of stunning, free themes that you can finesse to fit your unique flair. But wait, there's more! Ghost's editor is like the Swiss Army knife for content connoisseurs—slick, sophisticated, and oh-so-simple to use. Unleash your creativity with multimedia storytelling that includes everything but the kitchen sink—galleries, chucklesome gifs, videos, podcasts, you name it. And when it's time to hit 'send', those built-in newsletters make sure your words woo your audience without breaking a sweat. Want to play the mysterious type? Ghost's got you covered with native signup forms that turn casual lurkers into committed members. And because we all love a good sneak peek, Ghost dishes out the deets with analytics that spill the tea on who's loving your work the most. Plus, with tantalizing offers and promotions, you'll have new subscribers flocking like seagulls at a beach picnic. All this, hosted on RepoCloud, where the cost is as tiny as your chances of being bored. So, what are you waiting for? Let's Ghost!

DevTrack turns your GitHub activity into a living dashboard of commit streaks, pull-request analytics, and goals that quietly update themselves. Sign in with GitHub and your last year appears as a contribution heatmap you can filter by repository and language, next to the streak you are protecting and the freeze you are saving for a holiday. Pull requests get the honest treatment: merge rate, average review time, and open-versus-closed breakdowns that show whether reviews or authors are the bottleneck. Weekly and monthly goals fill themselves in from live activity, while the consistency score and activity rings tell you whether your rhythm is steady or heroic but rare. When you want the story told back to you, an AI mentor who knows your history offers guidance, a résumé generator builds an ATS-friendly CV from merged pull requests for the role you name, and a weekly summary explains your own graphs in plain words. Opt into the public leaderboard to rank your streak, commits, and PRs against other developers, or keep everything private and share only the profile page and embeddable badges you choose. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Bisibility puts your Google rankings, keyword research, and backlink profile in one application that runs on your server instead of behind a per-seat subscription. Track every keyword by market and device, watch positions move over time, and open the stored snapshot of the actual results page behind any check to see exactly what Google showed. Alerts flag the movements that matter, while competitor share of voice shows whose visibility is growing at your expense. The keyword explorer surfaces suggestions with search volume, trends, cost per click, difficulty, and intent, and shows the estimated price before a lookup runs, so research never surprises your wallet. Backlink and domain views break down referring domains, anchors, and new and lost links next to estimated traffic and top pages for any site you type in. Search Console clicks, impressions, and queries are kept beyond the usual retention window, and a recurring prompt tracker follows how AI answer engines cite your brand over time. Results flow outward through a versioned API, MCP access, signed webhooks, and CSV exports. 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.

Jellydash answers the questions every Jellyfin admin asks, starting with who is watching right now and whether that stream is transcoding. Live cards show each session's artwork, user, quality, progress, and playback method, including the reason a transcode was needed, and live TV channels appear with real program progress. Behind the scenes, a background poller records every play even when nobody has the dashboard open, building a history you can search, filter by user or library, and export to CSV with poster art intact. Older Jellyfin or Emby Playback Reporting backups import in seconds, so years of viewing are not lost when you switch. Statistics turn that history into watch-time trends, top users, device and client activity, codec breakdowns, and transcode reasons, and clicking a chart opens the exact plays behind it. A monthly recap looks back at a finished month with rankings and daily activity, while trending and all-time most-watched strips show what your household actually loves. Optional pages follow Jellyseerr requests as they arrive and read the status of SABnzbd, qBittorrent, Transmission, Deluge, and NZBGet clients without ever touching their queues. Server activity, maintenance tasks, and system status stay one click away, and selected users can be excluded from monitoring entirely. When someone presses play, a notification can reach your phone through Telegram, Pushover, Discord, ntfy, Gotify, or Web Push. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Between your databases and everything that consumes data - BI tools, embedded analytics, AI agents - sits Cube (formerly Cube.js), an open-source semantic layer. Metrics, dimensions, joins, and access rules are defined once as code in YAML, JavaScript, or Python, forming a governed data model that every downstream consumer shares, so "revenue" means the same thing in every dashboard. Caching is two-level: an in-memory cache absorbs bursts of identical queries, and declared pre-aggregations - rollup tables built in the warehouse or in Cube Store, Cube's distributed columnar engine, and refreshed in the background - deliver sub-second latency while cutting warehouse compute costs. The query planner routes each request to cache, rollup, or source automatically. Consumers connect through a Postgres-compatible SQL API (any tool that speaks Postgres works), plus REST, GraphQL, and a Meta API for model introspection. Row-level security and multi-tenancy are enforced in the layer itself, upstream of every client. Sources include Snowflake, BigQuery, Databricks, Postgres, MySQL, Presto, and Athena. Headless by design - bring your own UI.

BI tools, customer-facing apps, and AI agents all receive the same governed answer from Cube Core, an open-source semantic layer where every metric is defined once, in code. Models are written in YAML or JavaScript. Cubes describe business entities with measures, dimensions, and joins. Views curate datasets for consumers. Git holds every version, with code review and CI like any other codebase. Queries arrive through a Postgres-compatible SQL API with a MEASURE function, through REST returning JSON, or through GraphQL, which means any tool that speaks Postgres connects without custom drivers. Sources include Snowflake, BigQuery, Databricks, Amazon Athena, Presto, and Postgres. Pre-aggregations declared in the model refresh in the background and live in Cube Store. An aggregate-aware planner routes matching queries to those rollups, and dashboards answer in milliseconds without rescanning the warehouse. Access policies set member-level visibility, row-level filters, and data masking from the security context. Multi-tenant SaaS analytics becomes practical: each customer sees only their own rows, whichever API asks. A development-mode Playground, meant for local use and never for public exposure, composes queries from measures and dimensions, shows the generated SQL, charts the results, and copies ready-made SQL, REST, and GraphQL calls. 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.

Immich Insights turns the photo library you already keep in Immich into a year-in-review style dashboard of how you actually shoot. Connect it with your own Immich API key and it reads your asset metadata into a local snapshot, without copying your original photos, then builds the overview Immich itself never shows: total photos and videos, storage used, favorites, albums, and your newest additions. Pick any year or a custom date range and see that period's shooting volume, favorites, albums, and devices. Camera statistics break your library down by device and manufacturer, with leaderboards you can correct when the same camera appears under different names. Exposure analysis shows your ISO, focal length, and shutter speed distributions, the focal lengths you reach for most, and how your settings shift by hour of day. Rhythm charts map your shooting by month, weekday, and hour, with a calendar heatmap of your most active days. A zoomable timeline marks the moments that matter: first photo, a new device joining the library, your longest gap, your busiest day ever. People and location views count faces and mapped places by country and continent, and a photography profile scores your habits. Clicking any chart value opens the matching photo thumbnails, and reports export as PDF, CSV, or JPG. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

For teams drowning in pipeline output nobody reads, Depictio turns workflow results into dashboards you can hand to a collaborator. A MultiQC tab answers the first questions about a sequencing run: how many reads survived trimming, how evenly they spread across samples, and whether base quality holds to the end of the read, all in one glanceable table. Filter by sample, habitat, site, or sampling date on the left and every panel on the page follows, from community composition cards counting distinct taxa and phyla to differential abundance views that show what was tested, what survives correction, and how large the effects are. Alpha diversity tabs summarise richness and evenness per sample with rarefaction curves, and a sampling sites map lets you click or lasso points to filter the whole dashboard by geography. Forty two ready-made templates cover nf-core pipelines such as ampliseq, atacseq, and airrflow, while outputs from Nextflow, Snakemake, Galaxy, or plain shell scripts feed the same builder. Even a classic tabular dataset becomes an overview of distributions, box plots, and threshold counts, so the same tool serves a wet lab and a data science team. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

No cookies, no fingerprinting, no cross-site tracking, no personal data collection - Umami's privacy contract is the foundation of the open-source web analytics platform. IP addresses are hashed rather than stored, which makes it GDPR, CCPA, and PECR compliant by default - the consent banner can come off the site entirely. The tracking script is under 2 KB, roughly 20x smaller than Google Analytics, so measurement stops being a page-weight tax. The dashboard covers the core metrics - pageviews, visitors, bounce rate, visit duration, referrers, browsers, devices, and countries - with any date range and filtering by country or device. Beyond pageviews, custom events track clicks, form submissions, and signups via a data attribute or one JavaScript call, and advanced reports add funnels, user journeys, retention and cohort analysis, goals, and automatic UTM campaign tracking. Anonymous session views show individual visitor activity without identifying anyone. Teams share websites with role-based access, one instance manages unlimited sites, and a full REST API exposes every metric programmatically. MIT-licensed and self-hosted on PostgreSQL or MySQL via Docker, your analytics data never leaves your infrastructure.

Lotus is an open-source pricing and billing engine that lets SaaS teams meter usage, design plans, and experiment with pricing without rebuilding their billing stack every time the model changes. You define how customers are charged: per seat, per API call, per gigabyte, in tiers, with prepaid credits, or as a bespoke enterprise arrangement negotiated over email. Plans are versioned and deployed like releases, so changing a price never means editing the plan that half your customers already signed. Usage events stream in from your product and are aggregated against each customer's plan, turning raw events into billable quantities your finance team can audit line by line. Before a new model goes live, you backtest it against historical usage to see exactly who would have paid what, and forecast the revenue before a single invoice changes. Experiments compare pricing variants on real customers, so the packaging debate ends with numbers instead of opinions. The control panel sits on top of your existing quote-to-cash stack, pulling from your payment, CRM, and data systems rather than demanding a rip-and-replace migration. Engineers integrate through the API: send events, read balances, and let Lotus handle the proration math when plans change mid-cycle. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Its author, a student and WakaTime fan, didn't want to pay $9/month for data about his own keystrokes - so Wakapi was born, a self-hosted, WakaTime-compatible backend for coding statistics. The compatibility is the killer design decision: the official WakaTime plugins for VS Code, JetBrains IDEs, Vim, and dozens of other editors work unmodified - just point the plugin's API URL at your Wakapi instance with your personal key, and heartbeats flow to your server instead of a third party's. Duration inference matches WakaTime's own algorithm, with a configurable timeout (10 minutes by default). From that stream Wakapi builds statistics and plots across projects, languages, editors, hosts, and operating systems, plus the fun extras: public leaderboards (optionally login-gated, with configurable aggregation windows), badges for GitHub readmes, and weekly email reports. A REST API serves your data programmatically, Prometheus export feeds your existing Grafana, and a WakaTime relay mode can mirror heartbeats to both services during migration - with one-click import of historical WakaTime data. Written in Go, it is lightning fast and light enough for the smallest instance, storing to SQLite, PostgreSQL, or MySQL, with configurable data retention for GDPR peace of mind. Deliberately smaller than WakaTime, deliberately yours.

Screen equities against dozens of technical indicators, backtest algorithmic trading strategies, and spot intraday market anomalies using Tick Stock Panel, a self-hosted quantitative analysis workbench. Traders can filter entire exchanges across technical indicators including moving averages, relative strength index, and Bollinger bands with near-instantaneous execution. The platform provides a full backtesting environment where users test customized entry and exit rules, account for simulated slippage and commission fees, and review streamed performance metrics. Dedicated monitoring modules track intraday volume spikes, price breakouts, and multi-day limit streaks with automated alert dispatching to messaging channels and voice announcements. Users can explore individual stock profiles featuring multi-dimensional technical breakdowns, financial balance sheets, and automated event post-mortems generated via integrated language models. Visual factor mining tools allow analysts to discover uncorrelated signals and assemble composite portfolio screens without external database overhead. An interactive dashboard aggregates sector rotations, hot concept heatmaps, and customizable watchlists into modular operational views. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Built for self-hosting from the ground up, Kutt is a modern, MIT-licensed URL shortener: zero-configuration setup, no build step, and SQLite, PostgreSQL, or MySQL with optional Redis caching. Links carry real management features - custom slugs from a configurable alphabet (confusable characters like 0/O and l/1 omitted by default), password protection, descriptions, expiration times, and the ability to edit a destination URL without changing the short link already in circulation. Custom domains make branded short links first-class: add as many as you like and serve each under your own name instead of a third-party's. Private, per-link statistics track clicks, browsers, operating systems, and countries without logging visitor IPs or sensitive data. An admin page manages users and links instance-wide, and two environment flags (DISALLOW_REGISTRATION, DISALLOW_ANONYMOUS_LINKS) lock the instance down for private use; OpenID Connect login integrates with an existing identity provider. Automation runs through a documented REST API - create, list, delete, and pull stats - plus Chrome and Firefox extensions and ShareX compatibility for shortening from anywhere. Built with Node.js and React, deployed in one Docker container, it replaces Bitly with something you own: your domain, your analytics, and links that never die with a vendor.