Top 4 Python Typesafe Projects
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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.
Project mention: Pydantic V2 leverages Rust's Superpowers [video] | news.ycombinator.com | 2023-04-23As someone who built a pure python validation library[0] that's much faster than pydantic (~1.5x - 12x depending on the benchmark), I have to say that this whole focus on Rust seems premature. There's clearly a lot of room for pydantic to optimize its Python implementation.
Beyond that, rust seems like a great fit for tooling (i.e. ruff), but as a library used at runtime, it seems a little odd to make a validation library (which can expect to receive any kind of data valid python data) to also be constrained by a separate set of data types which are valid in rust.
Index
What are some of the best open-source Typesafe projects in Python? This list will help you:
Project | Stars | |
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1 | strictyaml | 1,407 |
2 | koda-validate | 108 |
3 | simple_html | 32 |
4 | mocksafe | 3 |