DIDAflow builds data and AI tools for smarter decisions in higher education.

We help universities and academic teams turn complex student and program data into clear insights, actionable signals, and measurable improvements.

• 📊 Monitoring of degree programs and student cohorts
• 🔍 Early signals for risk, delay, and dropout
• 🧠 Predictive and descriptive analytics, designed to be interpretable
• ⚙️ Modular tools that integrate with existing academic data systems

• Built for real institutions — not just dashboards
• Explainable by design — no black-box decisions
• Lightweight & modular — easy to adopt, easy to extend
• Aligned with quality assurance workflows (e.g. ANVUR / AVA)

DIDAflow is developed as a product, not a research prototype:

• metrics over raw data
• reproducible pipelines
• fast iteration with institutional feedback

Each repository represents a product component or service (frontend, backend, data pipelines, CLI tools, experiments).

Active development.
Some repositories may be experimental or internal.

DIDAflow is an early-stage initiative at the intersection of education, data science, and AI.