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Offen Fair Web Analytics project preview

Offen Fair Web Analytics

Fair, transparent, and lightweight web analytics that puts users in control of their data.

LicenseApache-2.0
GitHub stars1.2k
Last commit1 weeks ago
Tags6 topics
TransparencyGdpr PrivacyConsent DrivenProductivityFair AnalyticsGolang
Overview

Why consider Offen Fair Web Analytics?

Offen is an open-source, consent-driven web analytics tool written in Go and JavaScript. It provides an opt-in model where users can inspect what data is being collected about them and delete their analytics footprint anytime.

Guided learning

Learn Offen Fair Web Analytics by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Offen

Offen demonstrates respect for user privacy with bidirectional transparency and cryptographic pseudonymization.

Running with Docker

bash
1docker run -d \
2 --name offen \
3 -p 8080:8080 \
4 offen/offen:latest

Offen is licensed under the Apache License Version 2.0.

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Offen Fair Web Analytics FAQs

Offen Fair Web Analytics is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Offen Fair Web Analytics is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Offen Fair Web Analytics is listed as an alternative to Matomo. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.