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Standard Library Design: Quality Over Size in Programming Languages
Key points
- Standard library quality is more important than size.
- Python's stdlib has uneven quality despite its utility.
- Go's stdlib is well-regarded due to strong design capacity.
- Rust's stdlib design capacity is limited for new features.
The Core Question of Standard Libraries
The debate over whether a programming language's standard library should be minimal or comprehensive is misdirected. The more pertinent question concerns the quality and consistency of the library's components, rather than its sheer volume.
Python's Approach to Standard Library Inclusion
Python's standard library, while extensive, is noted for its uneven quality and occasional inconsistencies with language conventions. Despite these issues, Python's approach of making functionality available early has contributed to its widespread adoption, particularly in fields like data science, even if it has led to challenges such as an ossified C API.
Go's Model of Standard Library Excellence
In contrast, the Go standard library is highly regarded for its well-designed APIs, despite also being comprehensive. This success is attributed to the Go team's institutional capacity to deliver high-quality designs and maintain consistency across the library, exemplified by extensions like golang.org/x.
Rust's Challenges in Expanding its Standard Library
Rust's initial standard library APIs, particularly for collections and iterators, are considered well-crafted. However, the language faces limitations in its capacity to execute new design decisions for the standard library. This organizational challenge can hinder the inclusion of new, technically simple features, such as obtaining random bytes from the OS, due to the complexities of coordination and resource allocation within a global programming language project.
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Primary sources
GitHub matklad/matklad.github.ioReporting from
This article argues that the quality and consistency of a programming language's standard library are more critical than its size. It uses Python, Go, and Rust as examples to illustrate how organizational capacity and design execution influence standard library effectiveness.