Strict Python Function Parameters

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

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  • typer

    Typer, build great CLIs. Easy to code. Based on Python type hints.

  • Slightly off-topic, but everyone writing modern Python should be familiar with Pydantic and similar libraries that use type hints for validation and parsing:

    https://pydantic-docs.helpmanual.io/

    https://fastapi.tiangolo.com/

    https://github.com/tiangolo/typer

    We're using Pydantic for Robusta (https://github.com/robusta-dev/robusta) and absolutely love it. You get the best of traditional Python (rapid prototyping and no boilerplate) while still being able to scale your codebase and keep it maintainable. Robusta is the first large project I've written in Python where I'm not encountering type errors at runtime left and right.

  • pydantic

    Data validation using Python type hints

  • Slightly off-topic, but everyone writing modern Python should be familiar with Pydantic and similar libraries that use type hints for validation and parsing:

    https://pydantic-docs.helpmanual.io/

    https://fastapi.tiangolo.com/

    https://github.com/tiangolo/typer

    We're using Pydantic for Robusta (https://github.com/robusta-dev/robusta) and absolutely love it. You get the best of traditional Python (rapid prototyping and no boilerplate) while still being able to scale your codebase and keep it maintainable. Robusta is the first large project I've written in Python where I'm not encountering type errors at runtime left and right.

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    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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  • robusta

    Kubernetes observability and automation, with an awesome Prometheus integration

  • Slightly off-topic, but everyone writing modern Python should be familiar with Pydantic and similar libraries that use type hints for validation and parsing:

    https://pydantic-docs.helpmanual.io/

    https://fastapi.tiangolo.com/

    https://github.com/tiangolo/typer

    We're using Pydantic for Robusta (https://github.com/robusta-dev/robusta) and absolutely love it. You get the best of traditional Python (rapid prototyping and no boilerplate) while still being able to scale your codebase and keep it maintainable. Robusta is the first large project I've written in Python where I'm not encountering type errors at runtime left and right.

  • fastapi

    FastAPI framework, high performance, easy to learn, fast to code, ready for production

  • Slightly off-topic, but everyone writing modern Python should be familiar with Pydantic and similar libraries that use type hints for validation and parsing:

    https://pydantic-docs.helpmanual.io/

    https://fastapi.tiangolo.com/

    https://github.com/tiangolo/typer

    We're using Pydantic for Robusta (https://github.com/robusta-dev/robusta) and absolutely love it. You get the best of traditional Python (rapid prototyping and no boilerplate) while still being able to scale your codebase and keep it maintainable. Robusta is the first large project I've written in Python where I'm not encountering type errors at runtime left and right.

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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