At MasterFabric, we are shaping a more unified and measurable way to orchestrate our products—an open-source foundation that is both transparent and scalable. With a strong focus on data science and data analytics, our technology stack empowers teams to not only build but also deeply understand and refine their workflows. By combining openness with precision, we invite the community to collaborate, experiment, and drive innovation together.
“In God we trust, all others must bring data.” – W. Edwards Deming
One of the most critical challenges in the e-commerce and banking sectors is the real-time detection of fraud and abnormal user behavior (anomaly). At the same time, DAFU provides companies with powerful analytics and visualization tools to better understand customer behavior.
DAFU is a Single Base Platform as a Service (PaaS) that was born within MasterFabric as an Open Source Software (OSS) project, shaped by the demands and needs of our customers.
At MasterFabric, we strongly believe that the Open Source Community will continue to push software technologies forward.
BUSINESS VALUE
Fraud Prevention Through real-time scoring, fraudulent transactions (e.g., stolen card usage, unusual payment frequencies, suspicious device activities) are instantly detected, protecting companies from significant financial losses.
Customer Behavior Analysis By analyzing cart abandonment rates, cancellation tendencies, customer segmentation, and payment habits, businesses can develop more accurate marketing and sales strategies.
Regulatory Compliance With data processing and storage processes that comply with standards such as GDPR, PCI DSS, and SOX, organizations are safeguarded against legal risks.
Customer Trust As fraud cases decrease, customer trust increases, and the platform’s reputation grows stronger.
TECHNICAL CONTRIBUTIONS
Micro-service Architecture Thanks to components like Kafka, Redis, PostgreSQL, and MongoDB, DAFU can process large volumes of data in real time. Its modular micro-service structure ensures high flexibility, fault tolerance, and the ability to scale seamlessly with growing business needs.
Machine Learning Modules By integrating algorithms such as Isolation Forest, LSTM, and XGBoost, DAFU combines both rule-based and adaptive learning systems for highly accurate anomaly detection.
Dashboard & Reporting With tools like Streamlit and Plotly, decision-makers are provided with clear and intuitive visual reports, enabling data-driven decisions.
Automated Notification System In cases of suspected fraud, alerts are instantly delivered through Slack, email, or mobile push notifications, ensuring proactive action.
Performance & Scalability Running on Kubernetes, the system is designed to handle traffic at levels of 10,000+ TPS (transactions per second), ensuring enterprise-grade performance.
Our target always minimum machine requirement, minimum machine feeding and optimum results.
FUTURE PLANS
In the long term, this project aims to deliver:
AI-powered insights for predictive analytics.
PaaS to SaaS transition: evolving from a Platform As A Service into a Software As A Service.
Advanced visualization enhancements for richer reporting.
B2B process support: acting as a consultant for requirements such as machine demand and computing power.
Enterprise integrations (ERP, CRM, payment providers).
Mobile multi-channel support for broader accessibility.
Enhanced security to meet enterprise-level standards.
👉 DAFU is more than a fraud detection platform — it’s a comprehensive ecosystem for d*ata analytics, compliance, and customer trust*.
And we are excited launching those NEWS...🚀
We are thrilled to share this exciting news. If you are interested in becoming a collaborator, please feel free to reach out to us regarding the relevant topics.
We will announce the open-sourcing of the repository in our next article.
Best Regards,
Furkan Çankaya
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