Leo cdp free edition
The binary build of LEO CDP Free Edition for training purposes
**LEO CDP** is an **Open Source AI-first Customer Data Platform (CDP)** framework that empowers organizations to build and operate their own fully customizable CDP infrastructure — with **machine learning and big data** at its core. The project is written primarily in HTML, distributed under the Apache License 2.0 license, first published in 2021. Key topics include: arangodb, big-data, big-data-analytics, cdp, customer-analytics.
LEO CDP – The Open Source AI-first Customer Data Platform
LEO CDP is an Open Source AI-first Customer Data Platform (CDP) framework that empowers organizations to build and operate their own fully customizable CDP infrastructure — with machine learning and big data at its core.
Designed for developers, data scientists, marketers, and enterprises, LEO CDP enables unified data collection, real-time customer analytics, audience segmentation, and personalized marketing — all while remaining self-hosted and privacy-friendly.
🚀 Vision & Philosophy
- The philosophy of Dataism → USPA → LEO CDP
- Democratize AI-powered data platforms for digital transformation
- Promote data sovereignty, on-premise intelligence, and open collaboration
🔥 Key Features
-
Omnichannel Data Collection & Unification
Collect data from web, mobile, CRM, IoT, POS, social media, and APIs. Unify into rich customer profiles. -
Real-Time Customer 360
Build a complete view of every customer using behavioral, transactional, and third-party data. -
AI-based Segmentation & Scoring
Use clustering, RFM, CLV prediction, churn scoring, and dynamic audiences using ML models. -
Behavioral Tracking & Journey Mapping
Track individual actions and interactions in real time. Map customer journeys across channels. -
Predictive Analytics & Insights
Leverage machine learning pipelines with Jupyter/Colab for real-time insights. -
Personalization & Activation
Using Agentic AI to deliver personalized experiences via email, push, SMS, and content based on customer intent. -
Event-Driven Architecture with ETL/ELT
Built-in Apache Airflow integration to manage data ingestion, transformation, and orchestration. -
Plug-in Ecosystem & API-First Design
Easy to extend, integrate, and automate via REST APIs and modular services. -
Data Governance & Privacy
Built-in consent tracking, GDPR compliance, and on-prem hosting for full control over customer data. -
DevOps Ready
Docker-based deployment, Prometheus + Grafana monitoring, scalable microservice architecture.
🌍 Why Open Source?
- Break away from SaaS lock-in. Full customization and ownership of your CDP.
- Ideal for agencies, startups, enterprises, and researchers building AI-powered marketing stacks.
- Open source encourages transparency, innovation, and community-driven evolution.
📈 Roadmap 2025+
| Feature | Status |
|---|---|
| ✅ Core CDP Platform (Profiles, Events, Segmentation) | Complete |
| ✅ CDP SDKs (JavaScript, Python) | Complete |
| 🔄 Identity Resolution with Graph + Vector Matching | In Progress |
| 🔄 AI Assistant (Chatbot for Audience Insights & Suggestions) | In Progress |
| 🔄 Agentic AI: Personalizing the Customer Experience | In Progress |
| 🔄 Embedding Model for Customer Vector Search (via Qdrant) | In Progress |
| 🆕 CDP Mobile SDKs (Android, iOS, React Native) | Planned |
| 🆕 Open Source Campaign Management UI | Planned |
| 🆕 Integration Marketplace for Martech Tools | Planned |
| 🆕 Webhook + Event Bus Support (Kafka / RabbitMQ / SQS) | Planned |
| 🆕 Federated Identity Graph using OpenID & OAuth | Planned |
Want to contribute? Join the community!
🧪 System Demo
- URL: https://dcdp.bigdatavietnam.org
- Username:
demo - Password:
123456
📚 Documents
- 🇻🇳 Document bằng tiếng Việt
- 🧠 CDP Handbook 2023
- 📊 Data Model & Journey Map
- ⚙️ Analytics Core Functions
- 💡 Data Strategy with LEO CDP
🛠️ Tech Stack
- Backend: Java 11 (Amazon Corretto), Python 3.10
- Database: ArangoDB 3.11 (Multi-model: Document + Graph + Search)
- Monitoring: Prometheus 2 + Grafana 8
- Data Pipeline: Apache Airflow
- Analytics & ML: Jupyter Notebook / Google Colab
- Messaging: Redis 6, OneSignal, Firebase
- Deployment: Ubuntu 22 LTS, Docker, On-Prem / Cloud
☁️ Cloud Options
- Google Cloud, AWS, VNG Cloud, or your own private infrastructure
🔧 Installation
See: Installation Guide
🧑💻 Author & License
Created by: Trieu Nguyen (Thomas)
License: Open Source - MIT-style.
Use freely. Customize. Brand your own white-label CDP. Just respect the original creator 🙏.
💬 Community & Support
- Bugs or ideas? Email: trieu@leocdp.com
- Join our learning group: BigDataVietnam.org
- YouTube: @bigdatavn
- Blog: knowledge.leocdp.net
📜 Historical Proof of Innovation
Contributors
Showing top 1 contributor by commit count.
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