Why Static Languages Suffer From Complexity

This page summarizes the projects mentioned and recommended in the original post on /r/rust

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  • Nim

    Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).

  • Nim is another candidate in the Zig-like space of exposing the AST to the macro system, and also has (albeit experimental) concepts. Perhaps more interesting is coalton, which is a functional type system on top of Common Lisp - the most dynamic language out there. Curious if you have any thoughts on those!

  • lean4

    Lean 4 programming language and theorem prover

  • The author is quick to dismiss dependently typed languages, which indeed solves the issues he describes. I think we will someday see a mainstream dependently typed language, Idris is one candidate and Lean 4 another. However, the issues described in the post are quite rare in practice, and macros are a good enough solution in many cases. Type systems like Rust's gets you 90% there when it comes to abstraction and static guarantees (and maybe 95% when you add macros), to get the last 10% you need to complicate the type system a lot.

  • 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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  • rust

    Rust language bindings for TensorFlow (by tensorflow)

  • TensorFlow has language support for TypeScript well as Rust.

  • ATS-Postiats

    ATS2: Unleashing the Potentials of Types and Templates

  • There is the ATS programming language. Though it is not very user-friendly :)

  • DefinitelyTyped

    The repository for high quality TypeScript type definitions.

  • Do you mean declaration files (*.d.ts) and DefinitelyTyped? Python has equivalents of those in type stubs (*.pyi) and typeshed.

  • typeshed

    Collection of library stubs for Python, with static types

  • Do you mean declaration files (*.d.ts) and DefinitelyTyped? Python has equivalents of those in type stubs (*.pyi) and typeshed.

  • wuffs

    Wrangling Untrusted File Formats Safely

  • Google Wuffs is pretty limited, yet definitely practical language.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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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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