# ProgrammingRust/examples

Complete code for the larger example programs from the book.

Repository: https://github.com/ProgrammingRust/examples
Canonical: https://ross.abutalabs.com/products/programmingrust-examples
Language: Rust
License: MIT
License Family: permissive
Last push: 2023-06-21T22:19:15+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3200, "days_push": 1169, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1200, forks 260 (observed 2026-08-28T04:03:58.138103+00:00)

## What it is
Complete code for the larger example programs from the book 'Programming Rust' by Blandy, Orendorff, and Tindall. Each subdirectory is a standalone Rust project demonstrating concepts like generics, traits, closures, iterators, and concurrency.

## Use cases
- learn Rust by running book examples
- study concurrency examples in Rust
- see actix-web web service example code
- practice cargo build and test on sample projects
- reference implementations of binary trees and iterators in Rust

## When to choose
- you are reading Programming Rust and want runnable code
- you want small, idiomatic Rust examples per chapter
- you want MIT-licensed sample Rust projects to experiment with

## When to avoid
- you need a production-ready library or framework
- you want a comprehensive Rust tutorial without the book
- you need maintained software with ongoing feature development

## Facets
- artifact type: learning-resource
- maturity: stable
- function: developer-tools, concurrency, cli, web-framework
- domain: programming-languages, tutorials, developer-tools
- platform: rust, cross-platform, cli
- tags: rust-book, code-examples, oreilly, systems-programming, education

## Member repositories
- ProgrammingRust/examples (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:58.138103+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:20:45.698901+00:00, confidence not recorded.
  - readme: https://github.com/ProgrammingRust/examples (fetched 2026-08-28T04:03:58.138103+00:00, sha b1cf8bf75c1b)
- Data as of 2026-08-30T08:39:29.467469+00:00.