Backend
Flask
Flask is a lightweight Python web framework that provides routing and request handling with minimal structure, letting developers add only the components they need.
What Flask is used for
Flask is a microframework: it handles URLs, requests, and templates, and leaves database access, authentication, and project structure to extensions or the developer's own choices. That makes it well suited to small and mid-sized APIs, internal tools, webhooks, and services that wrap a specific capability, such as exposing a machine learning model over HTTP. Data science teams in particular favor Flask for turning notebooks and models into deployable endpoints because a working service can fit in a single readable file.
Why it matters for business software
Not every service needs a full framework. Flask keeps simple things simple: fewer moving parts, faster onboarding for a small codebase, and no framework fighting when requirements are unusual. It is a common choice for microservices in a Python-based architecture, where each service does one job. The flip side is that larger Flask applications require the team to impose structure and select libraries carefully; when an application grows into a full product with many models and roles, migrating to or starting with Django often pays off.
How Wizcoder AI Labs uses it
We use Flask and FastAPI for focused Python microservices, especially model-serving endpoints and integration glue in AI projects. For broader platforms we typically pair these services with a Django or Node.js core as part of custom software development.
Related terms
Where we use Flask
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