svg.py: Type-safe and powerful Python library to generate SVG files

• svg-xsd-schema

  1 14 10.0 PHP

  XSD schema for svg

Based on svg-xsd-schema and MDN reference.

• svg.py

  6 233 4.2 Python

  🎨 Type-safe and powerful Python library to generate SVG files

  

• InfluxDB

  www.influxdata.com sponsored

  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.

  

• beartype

  18 2,420 9.4 Python

  Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.

  

It is though, if you add a type checker to your pipeline and use it without any escape hatches such as `Any` or `type: ignore`, you are essentially making the promise that your code is statically typed. But I say it is a matter of perspective because in my opinion runtime type checking should be avoided if we can get away with statically typed code, but there are type checkers that perform runtime type checking via annotations such as [Beartype](https://github.com/beartype/beartype) (with some trickery like assuming homogenous data structures as to not have to check every element of every structure). Anyway the definition of "type safe" is not 100% even in compiled languages.

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