Plausible Analytics tech stack

Plausible Analytics is lightweight web analytics without tracking cookies. It runs on Elixir, Phoenix, PostgreSQL, ClickHouse and 0 more, read from its public repo plausible/analytics.

Privacy-focused website analytics for traffic, goals, and campaigns. The hosted service is a paid subscription with a trial; the AGPL community edition can be self-hosted without a software subscription. The reviewed code uses Elixir, Phoenix, PostgreSQL, and ClickHouse.

Data & analytics · web · https://plausible.io · 29,691 GitHub stars, AGPL-3.0-or-later (2026-10-28)

Built with

Backend

Elixir (mix.exs@57f734e3dbc5: elixir:)
Phoenix (mix.exs@57f734e3dbc5: Phoenix.)

Database

PostgreSQL (mix.exs@57f734e3dbc5: :postgrex)
ClickHouse (config/runtime.exs@57f734e3dbc5: Plausible.ClickhouseRepo)

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What do I use to build this?
And how much will it cost?What do you want to build?

Describe it in a sentence, like “an app that tracks the beans in my pantry”. You get what to build it with, what it runs on, and what it costs now and as it grows, with a source for every price.Describe it and press Plan. You get what to build it with, what it runs on, and what it costs now and as you grow, after the credits you qualify for.

Prices read from each vendor’s own pricing page

Vercel
Supabase
Stripe
Clerk
Resend
Neon
Cloudflare
PostHog

317 services listed across 36 categories. 70 priced in full, plan by plan.

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What you actually pay, next to what you planned.

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Recordings of the actual app. Inputs are illustrative; Billing shows an example account.

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Supported OpenAI, Anthropic, Vercel, Stripe, AWS and DigitalOcean connections sync completed months nightly. Billing access depends on the provider; personal Claude API keys cannot read organization costs.

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Stack recommendations from a PRD or a short description
Cost now, as you grow, and in year one after startup credits
Cost cliffs, and stay, optimise or switch comparisons
70 vendors priced in full, with every plan and what it includes, and more being added
317 developer services on Vendors, 70 priced in full and the rest with free tiers and starting prices, growing as we research more
Audits of apps already built: what they run on, what to change
MCP server with 34 tools for Claude, ChatGPT, Cursor and more
Saved stacks with price re-checks (sign in with email or GitHub)
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What is Kong Reviews?

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Where do the prices come from?

From each vendor's own pricing page. 70 of the 70 vendors in the cost engine were checked against their pricing pages in October 2026; any others are marked unverified. The other services on Vendors were read in October 2026 for their free tier and lowest paid price; the ones we couldn't read are marked Not Priced Yet. Both keep growing: we add vendors and services as we research them. Every answer lists its sources and the date each price was checked, and a price counts as out of date after 14 days. Check the vendor's page before you commit to anything.

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Can you add a vendor?

Yes, and we'll look at adding it.

Still have questions? Email [email protected].

Plausible Analytics tech stack

Built with

Backend

Database

What do I use to build this?And how much will it cost?What do you want to build?

What Are You Building?

Prices read from each vendor’s own pricing page

One placefor every stack decision.

Plan

Cost as you grow

Vendors

Audit

Billing

Showcase

Give your AI assistantaccess to Kong Reviews.

See what real productsare built on.

How services are ranked

See what startups build on.

Already built?Start from what you run.

Pick what works.Build what’s next.

Audit Your Stack

What's it built on?

What it runs on

What matters

Build Library

My Stacks

Billing

Vendors

Missing a Vendor?

Showcase

Built Something?

New startups, daily

Use Kong Reviews from your AI assistant.

Prices, Kept Honest by Everyone

Settings

Admin

Don't miss the next startup.

What an Issue Looks Like

What's in It

Recently Featured

Plan your stack for free.

Free

Paid Plans

Missing a Vendor?

Questions

Pick what works.Build what’s next.

What do I use to build this?
And how much will it cost?What do you want to build?

One place
for every stack decision.

Give your AI assistant
access to Kong Reviews.

See what real products
are built on.

Already built?
Start from what you run.

Pick what works.
Build what’s next.

Pick what works.
Build what’s next.