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Unified and privacy-centric event data collection for digital analytics

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walkerOS: Your Unified Data Collection Solution

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walkerOS Documentation

Why walkerOS?

walkerOS offers a unified, flexible, and privacy-centric data collection platform, adaptable to your evolving data needs. It integrates seamlessly with any analytical or storage tool, providing a reliable source of truth for data teams.

It is a modular data collection infrastructure, ideal for capturing first-party events reliably and with privacy in mind. Its vendor-agnostic design ensures seamless integration, giving you complete control over your data.

Key Features

  • Modular Design: Customize your data collection strategy like building with Lego bricks.
  • Data Quality and Privacy: Prioritize data integrity and user privacy with built-in consent management.
  • Flexibility: Tailored for both server-side and client-side tracking, adaptable to your evolving needs.

Target Audience

Designed for enterprises, agencies, freelancers, and data-driven decision-makers, walkerOS enables quick, adaptable solutions without disrupting your current setup.

Pre-requisites

Familiarize yourself with the walkerOS event model and, learn how walkerOS operates explore a complete demo infrastructure to understand its capabilities fully.

Package Overview

  • Clients (docs, code): For data creation and state management.
  • Destinations (docs, code): Activating data by initializing, mapping and finally sharing events to third-party tools.
  • Stacks (docs, code): APIs for event ingestion and processing.
  • Utils (docs, code): Enhance data collection with shared utilities.
  • Docs (docs, code): Deep dive into the official documentation.
  • Demos (docs, code): See walkerOS in action.

Getting Started

Start building your data collection strategy with walkerOS. Follow the Quick Start Guide for an easy setup.

Installation

Implement clients for data collection, manage endpoints with stacks, and leverage utilities for custom setups.

Contributing

Join our community-driven project to address real-world data challenges. See our Contributing Guidelines to get involved.

Support

Need help? Start a discussion, or reach out via email.

For more insights, visit the talks repository.

License

Licensed under the MIT License.

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