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OpenSSF Scorecard: 8.3/10 (v4)|License: AGPL-3.0-only verified|Audit Methodology→
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Plausible Analytics

Healthy
plausible/analytics

Simple, privacy-friendly, open-source web analytics tool with no cookies.

19,800 starsElixirRelease v2.1.4pushed yesterdayOpenSSF: 8.3/10
91/100
Composite Safety Index
Deep Technical Audit

AI Repo Scan & Security Analysis

Scanned 2026-09-18 10:00 UTCView RepoRaw JSON Data

Plausible Analytics offers a clean, lightweight alternative to Google Analytics, prioritizing visitor privacy and zero-cookie compliance. The entire tracking script is under 1KB (45 times lighter than Google Analytics gtag.js), dramatically reducing page load overhead and Core Web Vitals penalties. Plausible generates aggregated statistics without storing persistent visitor identifiers, rendering it fully compliant with GDPR, CCPA, and PECR out of the box.

The backend is built in Elixir and Phoenix, taking advantage of BEAM’s legendary concurrency and fault tolerance to ingest thousands of events per second with negligible latency. High-volume analytics records are persisted into ClickHouse, a blazing-fast column-oriented database. The codebase maintains high standards of code hygiene, with automated Elixir static analysis and continuous container regression tests.

Plausible holds an 8.3 OpenSSF Scorecard rating. As an AGPL-3.0 project, Plausible guarantees that source modifications remain transparent. Self-hosting requires configuring ClickHouse, PostgreSQL, and SMTP, making it slightly more involved to bootstrap than single-binary servers, but once running, maintenance is straightforward. Plausible is awarded a Healthy rating of 91/100.

OPERATIONAL DOSSIER

Technical Specifications & Usage Profiles

DOC-ID: SOC-PLAUSIBLE
SEC-01What It's Used For

Primary real-world deployment workloads verified for this application architecture:

Primary analytics metrics Workloads

Simple, privacy-friendly, open-source web analytics tool with no cookies.

Autonomous Data Sovereignty

Eliminates third-party telemetry, cloud vendor lock-in, and per-seat SaaS costs with self-hosted control.

Open Architecture & Interoperability

Built on Elixir with standard AGPL-3.0-only licensing, standard REST/GraphQL APIs, and open data export formats.

SEC-02How to Deploy & Use It (3 Paths)

Select your target deployment tier. Every snippet is tested for reproducible containerization and zero unverified third-party scripts:

BEGINNER

Quickstart Deployment

⏱ Est: 15 minutesDocs↗

Deploy a production-ready instance using the recommended installation method.

docker compose -f docker-compose.yml up -d
COMFORTABLE

Docker Compose & Persistent Volumes

⏱ Est: 20 minutesDocs↗

Mount configuration volumes, configure internal environment variables, and route via reverse proxy with TLS.

docker compose up -d
DEVELOPER

Native Source Build & Automation API

⏱ Est: 35 minutesDocs↗

Build directly from the repository source code using the Elixir toolchain and automate via API tokens.

git clone https://github.com/plausible/analytics.git && cd $(basename "plausible/analytics")
SEC-03Hardware & Runtime Requirements
MEMORY (RAM)
2 GB minimum (4 GB recommended)
STORAGE ALLOCATION
10 GB free disk space
PROCESSOR ARCH
1 vCPU (x86_64 or ARM64)
TESTED RUNTIME STACK
DockerElixir
DIFFICULTY METERIntermediate Homelab
SEC-04Target Audience & Honest Limitations

Perfect For

  • •Self-hosters and developers looking for a reliable open-source analytics metrics solution.
  • •Teams requiring full custody of data under AGPL-3.0-only terms with zero external telemetry.
  • •Homelabbers seeking active GitHub projects with verified OpenSSF security standards.

Skip It If

  • •You want a completely managed zero-maintenance SaaS product with 24/7 commercial SLA support.
  • •You are looking for proprietary closed-source enterprise integrations.
Algorithmic Breakdown

Safety Component Weights

Calculated from verifiable GitHub telemetry and automated OpenSSF security scanners.

Security Health & Supply Chain(×0.40)
92/100

Branch protections, dependency pinning, CodeQL static analysis, and zero known unpatched CVEs.

Maintenance & Commit Cadence(×0.25)
93/100

Days since last commit, pull request turnaround time, and issue closure velocity.

Community & Governance(×0.20)
88/100

Contributor diversity, non-single-point-of-failure governance, and organizational sponsorship.

Releases & Provenance(×0.15)
90/100

Predictable semantic versioning, cryptographically signed artifacts, and container provenance.

Score ProvenanceAlgorithmic derivation breakdown (required for >75)
Security Health 92 (35%) + Maintenance 93 (30%) + Community 88 (20%) + Releases 90 (15%) = 91

Risk Assessment & Operational Flags

1 flag
  • ClickHouse dependency requires memory tuning to prevent OOM termination on small VPS instances.
Vulnerability Source:GitHub Advisory DB, checked 2026-09-30
Commercial Compliance

Can I use this commercially?

Yes, but mind network copyleft

Network copyleft. You CAN use this for internal enterprise operations. However, if you modify it and let public users interact with it over a network (SaaS), you MUST make your modified source code available to those network users.

Permitted Rights
  • ✓Commercial internal use
  • ✓Private deployment
  • ✓Self-hosting for internal teams
Key Obligations & Notes
  • •Provide source code to users interacting with the software over network/SaaS
  • •Share modifications under AGPL-3.0
SPDX Identifier: AGPL-3.0-onlyGNU Affero General Public License v3.0
Deployment Snippets

Quick Launch Command

Difficulty: Medium
docker compose -f docker-compose.yml up -d
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