Pydantic Logfire — Uncomplicated Observability — Samuel Colvin

Pydantic Logfire combines logging and tracing functionality while prioritizing ease of use and simplicity, similar to Pydantic’s philosophy

Built on top of OpenTelemetry (OTEL) standard, providing compatibility while adding developer-friendly abstractions and features

Offers structured logging with nested context and duration tracking, providing a tree view of events rather than just linear logs

Provides automatic instrumentation for popular frameworks/libraries (FastAPI, AsyncPG, OpenAI, etc.) with minimal code changes required

Stores data in a structured format that can be queried using SQL or natural language processing

Handles network failures by storing data locally in protobuf files and retrying transmission when connectivity returns

Supports real-time monitoring of long-running operations, showing progress before completion

Automatically extracts and displays Pydantic model data and validation status in logs

Includes CLI tools for easy setup and configuration management

Allows sending data to other collectors/platforms since it’s built on OTEL, though some advanced features may be limited to Logfire’s platform

Focuses on developer experience by reducing setup complexity and mental overhead compared to raw OpenTelemetry implementation