GoatCounter vs JustAnalytics: A Donation-Funded Counter or the Whole Observability Stack
GoatCounter vs JustAnalytics: minimalism vs full observability. Which wins for your stack?
Picture a GA4 dashboard that grinds away just to tell you 47 people read your latest post. Now picture a page that opens instantly and shows the same 47. That's the whole pitch for GoatCounter.
GoatCounter does exactly what the name implies. It counts. Pageviews. Referrers. Browser stats. Screen sizes. And then it stops. No funnels. No cohorts. No "AI-powered insights" trying to upsell you. Martin Tournoij built it, funds it through donations, and maintains it with the kind of stubborn minimalism that reminds you software doesn't have to be complicated.
That deserves respect.
But here's the thing: side projects turn into SaaS products. Suddenly "47 people visited" isn't enough. You need to know why checkout is failing. Which API is slow. Why users are rage-clicking the signup button. GoatCounter can't tell you any of that — it's not designed to. (If you've been in similar shoes, our 5-tool consolidation guide breaks down the sprawl problem.)
So we're comparing a deliberately minimal counter with a full observability stack. Apples and oranges? Sort of. But enough people search "GoatCounter alternative" that the comparison matters.
Quick Verdict: Is JustAnalytics a GoatCounter Alternative?
TL;DR: GoatCounter wins on simplicity, price (free), and self-hosting ease. JustAnalytics wins on observability breadth.
If you run a blog, docs site, or personal project and you just want to know how many people visited? GoatCounter. Free. Minimal. Done.
If you run a SaaS product, e-commerce site, or anything where errors, performance, and user sessions matter? JustAnalytics. One script replaces your analytics, error tracking, session replay, APM, and uptime monitoring. GoatCounter can't do any of that — and doesn't try to.
The honest question: Are you checking analytics out of curiosity, or are you debugging production issues at 2am? That's it. That's the whole decision.
Feature Comparison
| Feature | JustAnalytics | GoatCounter |
|---|---|---|
| Pageview tracking | Yes | Yes |
| Referrer tracking | Yes | Yes |
| UTM campaign tracking | Yes | Yes |
| Custom events | Yes | Limited |
| Funnels / conversion paths | Yes | No |
| Error tracking | Yes (source-mapped stacks, rage-click) | No |
| Session replay | Yes (privacy masking) | No |
| APM / tracing | Yes (OpenTelemetry, P95/P99) | No |
| Uptime monitoring | Yes (HTTP checks, SSL, cron heartbeats) | No |
| Structured logs | Yes | No |
| Cookieless tracking | Yes | Yes |
| GDPR compliant | Yes | Yes |
| Self-hosting | No | Yes (single Go binary, SQLite) |
| Free tier | $0/mo — 100K events, 6mo retention | Free (hosted) for non-commercial; self-host unlimited |
| Paid tier | Pro $49/mo — 1M events, full observability | Donation-based (no fixed price) |
| Script size | under 5KB | Very small |
| AI integrations | AI Command Center ($25/mo add-on) | No |
The table tells the story. GoatCounter counts things. JustAnalytics counts things and then also tracks errors, replays sessions, monitors uptime, and traces API latency. Different tools for different problems. Pick your battle.
Where GoatCounter Wins: Minimalism That Actually Works
Let's be honest about where GoatCounter beats us, because it absolutely does.
Free means free. Not "free tier with upsell pressure." Not "free trial that expires." GoatCounter's hosted version is genuinely free for non-commercial use, funded by donations and sponsors, and the project deliberately avoids acting like a SaaS company. That shows. No dark patterns. No "upgrade for more" banners. Just... free analytics. For commercial use, he asks for a contribution — but it's honor-system. No enforcement. The self-hosted version is completely free with no strings.
Self-hosting is trivially easy. Most analytics platforms require Docker, PostgreSQL, Redis, and a weekend. GoatCounter is a single Go binary. Download it. Point it at a config file. Run it. SQLite by default — no database to manage. A small VPS is plenty. Try that with a stack that wants Postgres and Redis.
The dashboard loads instantly. Because there's nothing to load. No JavaScript charting libraries pulling megabytes of dependencies. No "loading your AI insights." Just... the numbers. A lean dashboard feels quick in a way heavier tools rarely match. That sounds trivial until you've waited on GA4 to render.
Privacy by architecture, not policy. GoatCounter doesn't track users across sites. Doesn't fingerprint. Doesn't store IP addresses (hashes them). Doesn't need cookies. The minimalism isn't just UX — it's a privacy guarantee. When you literally can't collect detailed user data, you can't leak it either. We wrote about cookieless tracking approaches if the technical details interest you.
Open source with an actual license you can use. EUPL (European Union Public License) — copyleft but business-friendly. Fork it. Modify it. Run it commercially. The code is readable and documented.
Where JustAnalytics Wins: Everything That Isn't Counting
GoatCounter's minimalism is a feature until it's not. Here's where the gaps show.
Event tracking stays shallow. GoatCounter is built around counting pages, and its event tracking is limited. A user clicking signup, completing checkout, or viewing pricing and then bouncing comes back as separate counts at best, with no way to correlate them into a path. For any SaaS product tracking user behavior beyond pageviews, that's a real gap.
Funnels don't exist. If your checkout is a 4-step flow and you want to know where people drop off — GoatCounter shows four separate page counts. You do the math yourself. JustAnalytics shows the funnel visualization with drop-off percentages at each step. Small difference for a blog. Big difference for e-commerce.
Session replay isn't possible. When a user reports "checkout is broken," GoatCounter gives you a pageview count. JustAnalytics gives you a pixel-perfect DOM replay of what they actually did. Privacy-masked. With rage-click detection. The difference between "something's wrong" and "here's exactly what happened" is the difference between hours of debugging and a quick look. (Our GDPR session replay and PII masking guide covers the privacy side.)
Error tracking doesn't exist. JavaScript throws an exception. With GoatCounter: you don't know. With JustAnalytics: source-mapped stack trace, issue grouping, error count by release, correlation with the session that triggered it. For production apps, error tracking isn't optional — and GoatCounter doesn't pretend to offer it.
APM and performance monitoring don't exist. "Why is checkout slow?" GoatCounter can't answer. It doesn't measure latency, doesn't trace API calls, doesn't track Web Vitals. JustAnalytics includes P95/P99 latency, OpenTelemetry-native distributed tracing, and Core Web Vitals.
Uptime monitoring doesn't exist. Site goes down at 3am. With GoatCounter: you find out when users complain. With JustAnalytics: you get paged. HTTP monitors, SSL certificate expiry alerts, status pages, cron job heartbeats. Different tool, different job.
The consolidation math. GoatCounter plus Sentry plus LogRocket plus Pingdom means four dashboards, four logins, four billing relationships — check each vendor's current pricing page and add them up. JustAnalytics Pro is $49/mo for all of it. If you're only using GoatCounter and nothing else, you save money staying with GoatCounter. If you're stacking tools, the math inverts. (For teams also running paid ads, VeloCalls integrates call attribution with web analytics.)
The Honest Trade-Off: Philosophy vs Features
This comparison isn't really about features. It's about philosophy.
GoatCounter believes analytics should be simple. Count pageviews. Show referrers. Done. The project keeps its scope narrow on purpose. No funnels. No cohorts. No integrations. The simplicity is the point — both for users and for maintenance. One person can build and maintain it because it does one thing.
JustAnalytics takes the opposite bet. Five tools in one script. More features means more complexity — but also fewer vendors, fewer dashboards, fewer bills. We traded minimalism for breadth, and yeah, that makes us harder to explain at a glance.
Neither philosophy is wrong. They're solving different problems for different people.
Where GoatCounter's minimalism shines: personal sites, blogs, documentation sites, open-source project pages, anything where "how many visitors" is genuinely the only question. The tool matches the need.
Where GoatCounter's minimalism hurts: SaaS products, e-commerce, anything with user flows that matter. When "checkout is broken" needs an answer, pageview counts don't help. When latency spikes need investigation, a counter can't investigate.
Our gap, plainly: JustAnalytics doesn't offer self-hosting. For teams that require on-premises analytics — whether for compliance, air-gapped networks, or philosophical preference — GoatCounter wins by default. We can't match that today, and for some buyers it's a dealbreaker.
Pricing Breakdown (as of August 2026)
GoatCounter:
- Hosted (non-commercial): Free. Funded by donations.
- Hosted (commercial): a contribution is requested, honor system. Check GoatCounter's own page for the current suggestion.
- Self-hosted: Free forever. Single Go binary. Your server costs only.
JustAnalytics:
- Free: $0/mo — 1 site, 100K events/mo, 6mo retention. Analytics only.
- Pro: $49/month, or $39/month billed annually — up to 5 sites, 1M events/mo, 1yr retention. Errors, replay, APM, uptime, logs included.
- Enterprise: custom — unlimited. SSO/SAML, SLA, dedicated infrastructure.
- AI Command Center: $25/mo add-on (requires Pro+). MCP for Claude/Cursor, anomaly detection.
GoatCounter is unambiguously cheaper for analytics-only use. If you self-host, your cost is whatever your server costs. JustAnalytics Free handles 100K events for $0, which undercuts GoatCounter's suggested commercial contribution — but only if you stay under 100K events and only need analytics.
We lose on price for pure analytics. That's just true.
The comparison changes if you need observability beyond pageviews. GoatCounter plus separate error, replay and uptime vendors adds up fast. JustAnalytics Pro is $49/mo for the same coverage.
Who Should Pick What
Personal blogs and side projects: GoatCounter. Free, minimal, loads instantly. You don't need error tracking for your cooking blog.
Open-source project pages: GoatCounter. Same reasoning. It's open source, which suits the audience.
Documentation sites: GoatCounter. Pageviews and top pages are enough. No checkout flows to debug.
SaaS products tracking user behavior: JustAnalytics. Custom events. Funnels. Error correlation. Session replay. GoatCounter can't tell you why users churn at step 3.
E-commerce with checkout flows: JustAnalytics. When checkout breaks at 2am, you need the session replay and error stack — not a pageview count.
Teams already using Sentry + LogRocket + Pingdom: JustAnalytics. Consolidate. One script, one bill, fewer dashboards.
Privacy-maximalists who want zero third-party data exposure: GoatCounter self-hosted. Your server, your data, no external dependencies. We can't match that.
EU companies with strict data residency requirements: Neither is perfect. GoatCounter self-hosted in EU infrastructure works. JustAnalytics is GDPR/CCPA compliant and cookieless by default, but doesn't offer self-hosting, so confirm data residency terms if they're contractual.
Our Honest Take
GoatCounter is exactly what it claims to be: a minimal, free, donation-funded pageview counter. Martin built it as a side project and runs it like one — no growth hacking, no upsells, no "AI-powered insights." The dashboard loads fast. Self-hosting is trivially easy. For counting visitors to a blog, it's honestly perfect.
But GoatCounter stops at counting. When you need to debug checkout errors, trace slow API calls, replay user sessions, or get paged when the site goes down — GoatCounter doesn't do any of that. Intentionally. The minimalism is the feature.
JustAnalytics takes the opposite approach. Analytics is one of five tools in the same under-5KB script. Errors, replay, APM, uptime, logs. More features, more complexity, more surface area. If you're currently paying for four separate observability tools, we replace all of them. If you just want to count pageviews, we're overkill.
Pick based on what you're actually doing. GoatCounter for curiosity metrics. JustAnalytics for production debugging. And if you're not sure yet — install GoatCounter first. It's free. You can always add more later.
More comparisons on the JustAnalytics blog — including Plausible and Fathom comparison, Datadog alternative for startups, and the case against 5-tool observability stacks. For teams running paid acquisition, ClickzProtect handles click fraud detection.
Frequently Asked Questions
Is GoatCounter really free?
Yes. GoatCounter.com hosted version is free for non-commercial use and funded entirely by donations and sponsorships. Commercial use requests a small contribution but it's honor-system. Self-hosting is completely free and open-source (EUPL license). JustAnalytics Free is $0/mo for 100K events with a permanent free tier — no donations required, but observability features beyond analytics need Pro at $49/mo.
Does GoatCounter have session replay or error tracking?
No. GoatCounter is explicitly minimal — pageviews, referrers, browser stats, screen sizes, and that's about it. Event tracking is limited, no funnels, no session replay, no error tracking. JustAnalytics bundles all five observability tools at $49/mo for Pro.
Can I self-host GoatCounter?
Yes, and it's genuinely easy. GoatCounter is a single Go binary — download, configure, run. No Docker required (though available), no database to manage (uses SQLite by default), minimal dependencies. JustAnalytics doesn't offer self-hosting.
Should I switch from GoatCounter to JustAnalytics?
Depends on what you need. If GoatCounter's minimal counters are working for you and you don't need errors, replay, or uptime — stay. If you're adding Sentry, LogRocket, and Pingdom alongside GoatCounter anyway, JustAnalytics consolidates all of it. Run both in parallel for 30 days if you're unsure.
Try JustAnalytics
All-in-one observability in one under-5KB script: cookieless analytics + error tracking + APM + session replay + uptime + structured logs. Replaces GA4 + Sentry + Datadog + Pingdom + LogRocket. Free tier (100K events/mo), Pro $49/month, or $39/month billed annually.
Author at JustAnalytics.