str

Unicode-aware string utilities for Gleam

Production-ready Gleam library providing Unicode-aware string operations with a focus on grapheme-cluster correctness, pragmatic ASCII transliteration, and URL-friendly slug generation.

✨ Features

Category	Highlights
🎯 Grapheme-Aware	All operations correctly handle Unicode grapheme clusters (emoji, ZWJ sequences, combining marks)
🔤 Case Conversions	`snake_case`, `camelCase`, `kebab-case`, `PascalCase`, `Title Case`, `capitalize`
🔗 Slug Generation	Configurable `slugify` with token limits, custom separators, and Unicode preservation
🔍 Search & Replace	`index_of`, `last_index_of`, `replace_first`, `replace_last`, `contains_any/all`
✅ Validation	`is_uppercase`, `is_lowercase`, `is_title_case`, `is_ascii`, `is_hex`, `is_numeric`, `is_alpha`
🛡️ Escaping	`escape_html`, `unescape_html`, `escape_regex`
📏 Similarity	Levenshtein `distance`, percentage `similarity`, `hamming_distance`
🧩 Splitting	`splitn`, `partition`, `rpartition`, `chunk`, `lines`, `words`
📐 Padding	`pad_left`, `pad_right`, `center`, `fill`
🚀 Zero Dependencies	Pure Gleam implementation with no OTP requirement

📦 Installation

gleam add str

🚀 Quick Start

import str/core
import str/extra

pub fn main() {
  // 🎯 Grapheme-safe truncation preserves emoji
  let text = "Hello 👩‍👩‍👧‍👦 World"
  core.truncate(text, 10, "...")
  // → "Hello 👩‍👩‍👧‍👦..."

  // 🔗 ASCII transliteration and slugification
  extra.slugify("Crème Brûlée — Recipe 2025!")
  // → "creme-brulee-recipe-2025"

  // 🔤 Case conversions
  extra.to_camel_case("hello world")   // → "helloWorld"
  extra.to_snake_case("Hello World")   // → "hello_world"
  core.capitalize("hELLO wORLD")       // → "Hello world"

  // 🔍 Grapheme-aware search
  core.index_of("👨‍👩‍👧‍👦 family test", "family")
  // → Ok(2) - counts grapheme clusters, not bytes!

  // 📏 String similarity
  core.similarity("hello", "hallo")
  // → 0.8 (80% similar)
  
  // 🛡️ HTML escaping
  core.escape_html("<script>alert('xss')</script>")
  // → "&lt;script&gt;alert(&#39;xss&#39;)&lt;/script&gt;"
}

📚 API Reference

🔤 Case & Capitalization

Function	Example	Result
`capitalize(text)`	`"hELLO wORLD"`	`"Hello world"`
`swapcase(text)`	`"Hello World"`	`"hELLO wORLD"`
`is_uppercase(text)`	`"HELLO123"`	`True`
`is_lowercase(text)`	`"hello_world"`	`True`
`is_title_case(text)`	`"Hello World"`	`True`

✂️ Grapheme Extraction

Function	Example	Result
`take(text, n)`	`take("👨‍👩‍👧‍👦abc", 2)`	`"👨‍👩‍👧‍👦a"`
`drop(text, n)`	`drop("hello", 2)`	`"llo"`
`take_right(text, n)`	`take_right("hello", 3)`	`"llo"`
`drop_right(text, n)`	`drop_right("hello", 2)`	`"hel"`
`at(text, index)`	`at("hello", 1)`	`Ok("e")`
`chunk(text, size)`	`chunk("abcdef", 2)`	`["ab", "cd", "ef"]`

🔍 Search & Replace

Function	Example	Result
`index_of(text, needle)`	`"hello world", "world"`	`Ok(6)`
`last_index_of(text, needle)`	`"hello hello", "hello"`	`Ok(6)`
`contains_any(text, needles)`	`"hello", ["x", "e", "z"]`	`True`
`contains_all(text, needles)`	`"hello", ["h", "e"]`	`True`
`replace_first(text, old, new)`	`"aaa", "a", "b"`	`"baa"`
`replace_last(text, old, new)`	`"aaa", "a", "b"`	`"aab"`

🧩 Splitting & Partitioning

Function	Example	Result
`partition(text, sep)`	`"a-b-c", "-"`	`#("a", "-", "b-c")`
`rpartition(text, sep)`	`"a-b-c", "-"`	`#("a-b", "-", "c")`
`splitn(text, sep, n)`	`"a-b-c-d", "-", 2`	`["a", "b-c-d"]`
`words(text)`	`"hello world"`	`["hello", "world"]`
`lines(text)`	`"a\nb\nc"`	`["a", "b", "c"]`

📐 Padding & Filling

Function	Example	Result
`pad_left(text, width, pad)`	`"42", 5, "0"`	`"00042"`
`pad_right(text, width, pad)`	`"hi", 5, "*"`	`"hi***"`
`center(text, width, pad)`	`"hi", 6, "-"`	`"--hi--"`
`fill(text, width, pad, pos)`	`"x", 5, "-", "both"`	`"--x--"`

✅ Validation

Function	Description
`is_numeric(text)`	Digits only (0-9)
`is_alpha(text)`	Letters only (a-z, A-Z)
`is_alphanumeric(text)`	Letters and digits
`is_ascii(text)`	ASCII only (0x00-0x7F)
`is_printable(text)`	Printable ASCII (0x20-0x7E)
`is_hex(text)`	Hexadecimal (0-9, a-f, A-F)
`is_blank(text)`	Whitespace only
`is_title_case(text)`	Title Case format

🔗 Prefix & Suffix

Function	Example	Result
`remove_prefix(text, prefix)`	`"hello world", "hello "`	`"world"`
`remove_suffix(text, suffix)`	`"file.txt", ".txt"`	`"file"`
`ensure_prefix(text, prefix)`	`"world", "hello "`	`"hello world"`
`ensure_suffix(text, suffix)`	`"file", ".txt"`	`"file.txt"`
`starts_with_any(text, list)`	`"hello", ["hi", "he"]`	`True`
`ends_with_any(text, list)`	`"file.txt", [".txt", ".md"]`	`True`
`common_prefix(strings)`	`["abc", "abd"]`	`"ab"`
`common_suffix(strings)`	`["abc", "xbc"]`	`"bc"`

🛡️ Escaping

Function	Example	Result
`escape_html(text)`	`"<div>"`	`"<div>"`
`unescape_html(text)`	`"<div>"`	`"<div>"`
`escape_regex(text)`	`"a.b*c"`	`"a\\.b\\*c"`

📏 Similarity & Distance

Function	Example	Result
`distance(a, b)`	`"kitten", "sitting"`	`3`
`similarity(a, b)`	`"hello", "hallo"`	`0.8`
`hamming_distance(a, b)`	`"karolin", "kathrin"`	`Ok(3)`

📝 Text Manipulation

Function	Description
`truncate(text, len, suffix)`	Truncate with emoji preservation
`ellipsis(text, len)`	Truncate with …
`reverse(text)`	Grapheme-aware reversal
`reverse_words(text)`	Reverse word order
`initials(text)`	Extract initials (`"John Doe"` → `"JD"`)
`normalize_whitespace(text)`	Collapse whitespace
`strip(text, chars)`	Remove chars from ends
`squeeze(text, char)`	Collapse consecutive chars
`chomp(text)`	Remove trailing newline

📄 Line Operations

Function	Description
`lines(text)`	Split into lines
`dedent(text)`	Remove common indentation
`indent(text, spaces)`	Add indentation
`wrap_at(text, width)`	Word wrap

🔤 Extra Module (str/extra)

Case Conversions

import str/extra

extra.to_snake_case("Hello World")    // → "hello_world"
extra.to_camel_case("hello world")    // → "helloWorld"
extra.to_pascal_case("hello world")   // → "HelloWorld"
extra.to_kebab_case("Hello World")    // → "hello-world"
extra.to_title_case("hello world")    // → "Hello World"

ASCII Folding (Deburr)

extra.ascii_fold("Crème Brûlée")  // → "Creme Brulee"
extra.ascii_fold("straße")        // → "strasse"
extra.ascii_fold("æon")           // → "aeon"

Slug Generation

extra.slugify("Hello, World!")                    // → "hello-world"
extra.slugify_opts("one two three", 2, "-", False) // → "one-two"
extra.slugify_opts("Hello World", 0, "_", False)   // → "hello_world"

🏗️ Module Structure

str/
├── core        # Grapheme-aware core utilities (67 functions)
├── extra       # ASCII folding, slugs, case conversions
├── tokenize    # Pure-Gleam tokenizer (reference)
└── internal_*  # Character tables (internal)

📖 Documentation

Document	Description
Core API	Grapheme-aware string operations
Extra API	ASCII folding and slug generation
Tokenizer	Pure-Gleam tokenizer reference
Examples	Integration examples and OTP patterns
Character Tables	Machine-readable transliteration data

⚡ Optional OTP Integration

The library core is OTP-free by design. For production Unicode normalization (NFC/NFD):

// In your application code:
pub fn otp_nfd(s: String) -> String {
  // Call Erlang's :unicode module
  s
}

// Use with str:
extra.ascii_fold_with_normalizer("Crème", otp_nfd)
extra.slugify_with_normalizer("Café", otp_nfd)

🧪 Development

# Run the test suite (325 tests)
gleam test

# Regenerate character tables documentation
python3 scripts/generate_character_tables.py

📊 Test Coverage

325 tests covering all public functions
Unicode edge cases (emoji, ZWJ, combining marks)
Grapheme cluster boundary handling
Cross-module integration tests

🤝 Contributing

Contributions welcome! Areas for improvement:

Expanding character transliteration tables
Additional test cases for edge cases
Documentation improvements
Performance optimizations

gleam test  # Ensure tests pass before submitting PRs

📄 License

MIT License — see LICENSE for details.

🔗 Links

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