3 posts tagged with "performance"

msgspec is an extremely fast serialization and validation library that consistently outperforms Pydantic v2 in benchmarks. This performance advantage comes from its design as a lean, compiled-code-based library focused on a narrow set of data handling tasks, whereas Pydantic v2 is a feature-rich framework.

The performance differences are most pronounced in two key areas: parsing/decoding (converting data like JSON into Python objects) and serialization/encoding (converting Python objects into data like JSON).

Measuring how long your Python code takes to run is a critical skill for performance optimization, profiling, or benchmarking different approaches to solving a problem. Python offers many tools for tracking the execution time of a function - from simple built-in methods to full-blown profilers.

In this guide, we will explore multiple methods with code examples to help you choose the right one for your use case.

msgspec is a high-performance serialization library designed for modern Python applications. It combines type-safe data modeling, blazing-fast parsing, and flexible support for multiple serialization formats, including MessagePack, JSON, and TOML.

This article outlines the best practices for integrating msgspec into your codebase. It provides a practical, performance-oriented guide to writing cleaner, safer, and faster Python services.