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Lightweight WSGI web application framework easy to get started with and versatile for complex applications. Popular for building web APIs thanks to simplicity and extensibility.
Python data engineers use Flask to build lightweight REST APIs that expose pipeline outputs, model predictions, and dataset query endpoints. Flask is commonly used to wrap ML models as HTTP services, build internal data dashboards, and create webhook receivers that trigger pipeline runs. Its simplicity makes it ideal for microservices that sit alongside heavier data infrastructure components.
Lightweight WSGI web application framework easy to get started with and versatile for complex applications. Popular for building web APIs thanks to simplicity and extensibility.
Yes, Flask is free to use.
Flask is listed under the API Development category on Python Data Engineering.
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API Development →Projects
Master Flask-Migrate, the Flask extension that integrates Alembic for database migrations. Learn to manage schema changes in Flask applications, add fields to models, create new tables, and maintain database version control - essential for Flask-based data applications.
Create a simple, flexible REST API using Flask's minimalist approach. Perfect for learning API fundamentals, microservices, or rapid prototyping. Learn routing, request handling, and how to structure lightweight data services.
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