Langflow
A Python-based visual framework for building, testing, and serving AI application flows from connected components.
Who it is for
Developers moving AI application prototypes toward APIs or deployable services.
Use cases
Connect models and data sources visually; test in the Playground; trigger flows through an API.
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Strengths
Component-based flows expose inputs and outputs and support custom Python components.
Limitations
A working prototype is not production-ready; deployment still needs authentication, monitoring, and capacity planning.