Data Classification: Does Python still have a need for class without dataclass?

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  • msgspec

    A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOML

  • Integrating `dataclass` more into the language builtins might be nice, if only that it may allow/encourage a more native and performant implementation. Using a dataclass right now results in slightly slower class operations than handwritten types, and much slower import times.

    I maintain another dataclass-like library[1] that's written fully as a C extension. Moving this code to C means these types are typically 5-10x faster for common operations[2]. It'd be nice if the builtin dataclasses were equally performant.

    [1]: https://github.com/jcrist/msgspec

    [2]: https://jcristharif.com/msgspec/benchmarks.html#benchmark-st...

  • attrs

    Python Classes Without Boilerplate

  • Anything requiring e.g. setattr, getattr, delattr? Without looking far,

    https://github.com/python-attrs/attrs/blob/main/src/attr/_ma...

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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