CaddyShack — Hüpattl! Software

CaddyShack turns your Caddy server's JSONL access logs into a rich, interactive analytics dashboard — right in your browser. Deploy it alongside your Caddy server for always-on insights, or run it locally on your own computer and drag log files onto it whenever you need to investigate. No database, no configuration, no tracking. Your logs stay on your machine.

Everything you need

Simple upload, powerful insights.

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Drag & Drop

Drop your Caddy JSONL access log and get instant insights. No configuration, no accounts, no setup required.

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Powerful Filters

Filter the entire dashboard by HTTP method, status code, URI, and more — all dimensions applied in a single pass with AND logic.

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Single Events

Browse individual log entries in a dedicated tab with lazy loading. Drill down into the raw data behind any chart.

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Traffic Trends

Daily request volumes visualized over time. Spot patterns, traffic spikes, and anomalies at a glance.

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World Map

Interactive geographic distribution of your visitors. See where your traffic comes from, country by country.

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Browser & OS

Know your audience. Browser and operating system breakdowns as interactive D3.js donut charts for informed decisions.

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Status Codes

HTTP status breakdown in one view. Find errors, redirects, and success rates without digging through raw logs.

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Privacy First

IP addresses are anonymized. GDPR-friendly by design. Your log data never leaves your machine.

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Server or Local

Deploy alongside your Caddy server for always-on access, or run it locally on your laptop and drag log files onto it whenever you need to dig in. Both work equally well.

See it in action

From raw logs to visual insights in seconds.

CaddyShack statistics dashboard showing traffic charts, donut charts for browsers and OS, world map, and filter bar — **Statistics dashboard**Traffic trends, geographic map, donut charts, and powerful filters

CaddyShack single events tab showing raw log entries with lazy loading — **Single events**Browse and inspect individual log entries with lazy loading

Get started in seconds

Deploy on your server, or run it locally and drag in a log file.

./caddyshack

Available for Linux, macOS (Intel & Apple Silicon), and Windows.

Or run it as a container:

docker run -p 8080:8080 ghcr.io/bjblazko/caddyshack:latest

Or with Docker Compose / Podman Compose:

docker compose up -d

Images for linux/amd64 and linux/arm64 published to GHCR.

Download v0.2.0 View on GitHub

Use at your own risk. Always back up your files before use.