zipgrep

A high-performance grep implementation written in Zig, inspired by ripgrep.

zipgrep recursively searches directories for a regex pattern while respecting .gitignore files, with colorized output and parallel file searching.

Features

Fast literal search using SIMD-accelerated byte matching
Multi-literal search using packed SIMD fingerprints or Aho-Corasick
Regex acceleration using required-literal filters and bounded DFAs over a Thompson/Pike NFA
Unicode-aware regexes with scalar character classes, Unicode 16.0 Perl \w, and simple case folding
Word boundary matching with exact Unicode semantics via -w
Parallel file searching using a thread pool across multiple CPU cores
Inherited gitignore support - applies repository and nested .gitignore rules
Glob file filtering with -g flag for include/exclude patterns
NUL-based binary handling with ripgrep-like recursive and explicit-file behavior
Colorized output - file paths, line numbers, and matches are highlighted
Smart output formatting - auto-detects TTY vs pipe for heading/color defaults
Bounded I/O memory using rolling stream buffers or reclaimable 8 MiB mmap windows
Early termination for -q and -l, including cross-worker cancellation
Small binary - about 4.5 MiB versus 5.2 MiB for the Linux musl ripgrep binary used below

Installation

Homebrew (macOS)

brew install jmwoliver/tap/zipgrep

Building from source

Requires Zig 0.16.0.

# Clone the repository
git clone https://github.com/jmwoliver/zipgrep.git
cd zipgrep

# Build release version
zig build -Doptimize=ReleaseFast

# Binary is at ./zig-out/bin/zg

Running tests

zig build test
zig build test-integration -Doptimize=ReleaseFast

Usage

zg [OPTIONS] PATTERN [PATH ...]

Arguments

Argument	Description
`PATTERN`	The pattern to search for (literal string or regex)
`PATH`	Files or directories to search (default: current directory)

Options

Option	Description
`-h, --help`	Show help message
`-i, --ignore-case`	Case insensitive search
`-w, --word-regexp`	Match whole words only
`-n, --line-number`	Show line numbers (automatic for TTY output)
`-c, --count`	Only show count of matching lines per file
`-l, --files-with-matches`	Only show filenames containing matches
`-q, --quiet`	Suppress output and stop after the first match
`-g, --glob GLOB`	Include/exclude files or directories (supports `!` for negation)
`--no-ignore`	Don't respect `.gitignore` files
`--hidden`	Search hidden files and directories
`-j, --threads NUM`	Number of threads to use (default: CPU count, capped at 8)
`-d, --max-depth NUM`	Maximum directory depth to search
`--color MODE`	Color mode: `auto`, `always`, `never` (default: `auto`)
`--heading`	Group matches by file with headers (default for TTY)
`--no-heading`	Print `file:line:content` format (default for pipes)

Examples

# Search for "TODO" in current directory
zg TODO

# Search in specific directory
zg "function" src/

# Case-insensitive search
zg -i "error" logs/

# Word boundary matching (matches "test" but not "testing" or "contest")
zg -w "test" src/

# Count matches per file
zg -c "import" .

# List files containing matches
zg -l "TODO" .

# Force colored output (useful when piping)
zg --color always "pattern" | less -R

# Search with regex
zg "fn.*\(" src/       # Find function definitions
zg "[0-9]+" data/      # Find numbers
zg "foo|bar" .         # Find "foo" or "bar"

# File filtering with globs
zg "fn main" -g '*.zig'                  # Only search .zig files
zg "import" -g '*.zig' -g '!*_test.zig'  # Exclude test files
zg "TODO" -g '!vendor/'                  # Exclude vendor directory
zg "config" -g '*.json' -g '*.yaml'      # Search multiple file types

# Output format control
zg --heading "pattern" .      # Grouped output with file headers
zg --no-heading "pattern" .   # Flat file:line:content format

# Ignore gitignore and search everything
zg --no-ignore "secret" .

# Search hidden files
zg --hidden "config" .

# Limit search depth
zg -d 2 "config" .

# Control thread count
zg -j 1 "pattern" .    # Single-threaded (useful for debugging)
zg -j 8 "pattern" .    # Use 8 threads

How It Works

Sampled-Pair SIMD Fingerprinting

One key optimization is two-byte fingerprinting: sampling the input, choosing two selective bytes from a pattern, and searching for both at their required offsets simultaneously. This sharply reduces false positives compared with a single-byte filter (based on ripgrep's "packed pair" approach from the memchr crate).

// Instead of filtering on one byte, select two bytes from the pattern.
const first_vec: Vec = @splat(first_byte);
const second_vec: Vec = @splat(second_byte);

// Load both positions in one pass
const first_chunk: Vec = haystack[pos..][0..VECTOR_WIDTH].*;
const second_chunk: Vec = haystack[pos + offset..][0..VECTOR_WIDTH].*;

// Only positions where BOTH bytes match are candidates
const mask = @as(MaskType, @bitCast(first_chunk == first_vec)) &
             @as(MaskType, @bitCast(second_chunk == second_vec));

For case-insensitive search, this checks 4 byte combinations per position (upper/lower × first/second).

Architecture-Aware Vectorization

zipgrep selects a practical SIMD width for each target:

AVX2 (32 bytes) on x86_64 with AVX2 support
NEON (16 bytes) on ARM64 (Apple Silicon, etc.)
Fallback (16 bytes) on other architectures

Packed and Aho-Corasick Multi-Pattern Search

Pure-literal alternations such as ERR_SYS|PME_TURN_OFF|LINK_REQ_RST|CFG_BME_EVT bypass the regex VM. Small sets use packed SIMD fingerprints (including Teddy-style filters); larger sets use Aho-Corasick:

O(n) search: Single pass through input regardless of number of patterns
Dense transition tables: O(1) byte lookup using 256-entry arrays per state
Automatic detection: Pure-literal alternation patterns are routed to AC automaton

Literal Extraction & Scoring

Before applying regex matching, zipgrep extracts literal substrings for SIMD pre-filtering:

switch (info.position) {
    .prefix => // "hello.*" -> scan for "hello" first
    .suffix => // ".*_PLATFORM" -> scan for "_PLATFORM" first
    .inner =>  // "[a-z]+_FOO_[a-z]+" -> scan for "_FOO_" first
}

The scoring system selects the most selective literal:

Longer literals score higher (better filtering)
Rare characters (_, Q, X, Z, digits) score higher than common letters (e, t, a, )

Buffer-First Search

Instead of processing files line-by-line, zipgrep searches the entire buffer for the pattern first, then only processes lines that contain matches:

256 KiB rolling buffer: Amortizes syscalls while keeping recursive-worker RSS low
8 MiB mmap windows: Explicit large files avoid copies, with processed pages released via MADV_DONTNEED
SIMD newline counting: Uses vectorized @popCount for fast line number calculation
Complete-line retention: Correctly handles matches and output across read boundaries, including arbitrarily long lines

Regex Engine

zipgrep implements a Thompson NFA-based regex engine with:

Bitset state tracking: No allocations during matching (256-state bitset)
Ordered Pike execution: Preserves leftmost-first alternation and greedy quantifier semantics
Bounded DFA execution: Accelerates compatible line and count searches without unbounded state growth
Literal pre-filtering: SIMD finds candidates before NFA evaluation
Greedy pattern optimization: For .*SUFFIX patterns, reduces O(n²) to O(n)

Supported syntax includes ., *, +, ?, {m}, {m,}, {m,n}, grouping, alternation, ^, $, Unicode literals and class ranges, negated classes, \d/\D, \s/\S, \w/\W, escaped metacharacters, and \t/\r. Search remains line-oriented, so patterns containing a literal newline or \n are rejected.

Parallelism

zipgrep uses parallel directory traversal with work stealing:

Parallel traversal: Directory walking and file searching happen concurrently
Safe work stealing: Owner-LIFO/stealer-FIFO deques use synchronized claims so an owning work item can never be processed twice
Configurable: Use -j N to control thread count (automatic mode uses up to 8 CPU cores)
Batched output: Each file is emitted under one output lock; explicit -j 1 inputs retain command-line order

File I/O Strategy

Scenario	Strategy
Explicit regular file ≥1 MiB	mmap, processed in 8 MiB windows with page reclamation
Recursive/small file	Streaming with a 256 KiB rolling buffer
stdin	Streaming with a 256 KiB rolling buffer
Pathological long line	Rolling buffer grows only to the longest retained line

Benchmarks

Warm-cache medians below compare a ReleaseFast build with ripgrep 15.2.0 invoked using --no-config. They were measured on an 8-vCPU Intel Xeon Linux orb in August 2026. Results are workload- and hardware-dependent; they are evidence for these corpora, not a claim that any implementation wins universally.

These tables record the focused measurements used during the optimization work. Raw samples and the exact harness are not committed, and the checked-in benchsuite does not currently reproduce the count, quiet, list, stdin, color, or RSS scenarios below. Treat the figures as reported results rather than independently reproducible benchmark artifacts.

512 MiB English subtitle file

Mode and pattern	zg	rg	zg / rg
count `Sherlock`	105.0 ms	113.0 ms	0.93
count absent literal	93.3 ms	106.8 ms	0.87
count `.`	607.1 ms	1294.2 ms	0.47
count `-w .`	646.0 ms	1541.9 ms	0.42
count `[^abc]+`	640.9 ms	1956.7 ms	0.33
count `-i 'Sherlock\|John'`	117.0 ms	205.5 ms	0.57
sparse matching output	116.5 ms	125.1 ms	0.93
dense matching output	1096.7 ms	1983.4 ms	0.55
quiet, early match	0.5 ms	1.8 ms	0.26
quiet, absent match	103.9 ms	129.6 ms	0.80
stdin count `Sherlock`	111.6 ms	120.8 ms	0.92

On a 128 MiB slice, dense forced-color output took 658 ms versus 4403 ms; sparse forced-color output took 28.7 ms versus 32.4 ms. Output bytes were compared exactly, including all non-overlapping highlighted matches.

Linux source tree (1.7 GiB, 79K files)

Mode	zg	rg	zg / rg
absent, `-q -j1`	774.7 ms	863.8 ms	0.90
absent, `-q -j8`	107.9 ms	177.8 ms	0.61
early match, `-q -j8`	2.8 ms	7.8 ms	0.36
list files, `-l -j8`	113.5 ms	182.0 ms	0.62
count files, `-c -j8`	125.6 ms	194.7 ms	0.65

Sorted recursive normal, list, and count output was byte-for-byte identical for the benchmark pattern.

Peak resident memory

GNU time maximum RSS (median of three runs):

Workload	zg	rg
512 MiB explicit-file count	4.5 MiB	513 MiB
512 MiB stdin count	0.6 MiB	4.4 MiB
2 MiB single long line	0.6 MiB	5.5 MiB
1.7 GiB recursive absent search, `-j8`	3.2 MiB	13.4 MiB

Project Structure

zipgrep/
├── build.zig             # Build configuration
├── build.zig.zon         # Package manifest
├── src/
│   ├── main.zig          # CLI entry point and argument parsing
│   ├── simd.zig          # SIMD byte/substring search (two-byte fingerprinting)
│   ├── regex.zig         # Thompson NFA regex engine
│   ├── literal.zig       # Literal extraction and alternation detection
│   ├── aho_corasick.zig  # Aho-Corasick multi-pattern search
│   ├── matcher.zig       # Pattern matching coordinator
│   ├── walker.zig        # Directory traversal and binary detection
│   ├── parallel_walker.zig # Parallel directory traversal with work stealing
│   ├── reader.zig        # Streaming file I/O with buffer-first search
│   ├── gitignore.zig     # Gitignore and glob pattern parsing
│   ├── output.zig        # Colorized output formatting
│   └── deque.zig         # Double-ended queue for work distribution
├── tests/                # Integration tests
└── benchsuite/           # Benchmark suite

Comparison with ripgrep

Feature Matrix

This comparison targets ripgrep 15.2.0. Ripgrep uses its Rust finite-automata regex engine by default; look-around, backreferences, and other PCRE2-only constructs require a build with PCRE2 and the -P/--pcre2 flag.

Feature	zipgrep	ripgrep 15.2.0
Performance	Faster in the reported warm-cache workloads above	Workload dependent
Regex engine	Custom bounded Thompson/Pike NFA with bounded DFA acceleration	Rust regex automata by default; optional PCRE2 via `-P`
Counted repetition	✓ `{m}`, `{m,}`, `{m,n}`; subject to a 256-state NFA limit	✓
Lazy quantifiers and captures	✗	✓ in the default engine
Look-around and pattern backreferences	✗	✓ with `-P`; not supported by the default engine
Unicode scalars	✓ literals, `.`, bracket literals/ranges, and simple case folding	✓
Unicode classes	Unicode 16.0 `\w`; ASCII `\d` and `\s`; no `\p{...}`	Broad Unicode classes, properties, scripts, and case folding
Word matching	✓ Unicode-aware `-w`; no `\b` syntax	✓ `-w` and Unicode `\b`
File glob filtering	✓ basic `-g` include/exclude patterns	✓ `-g`, file types, and richer traversal controls
Ignore sources	Repository and nested `.gitignore`	`.gitignore`, `.ignore`, `.rgignore`, Git excludes, global excludes, and explicit ignore files
Binary handling	NUL-based; recursive and explicit-file modes; no binary controls and stdin differs	NUL-based with explicit/implicit policies, `--binary`, and `-a/--text`
Context lines (`-A`/`-B`/`-C`)	✗	✓
Multiline matching	✗	✓ with `-U`; dot-all is configured separately
Compressed streams	✗	✓ gzip, bzip2, xz, LZ4, LZMA, Brotli, and Zstd via external helpers
JSON output	✗	✓
Output replacement	✗	✓; changes output, not files
Encoding/transcoding	✗ raw bytes plus UTF-8-aware regex paths	✓ BOM detection and `--encoding`
Binary size	About 4.5 MiB	About 5.2 MiB for the Linux musl binary used in the benchmarks

What zipgrep Supports

zipgrep is a good fit for fast line-oriented searching when its smaller CLI and regex surface are sufficient:

# Simple literal searches in your project
zg "TODO" src/
zg "console.log" .
zg "import React" components/

# Case-insensitive literal searches
zg -i "error" logs/

# Word boundary matching
zg -w "test" src/          # Matches "test" but not "testing"
zg -w "main" .             # Find exact "main" word

# Basic regex patterns
zg "fn.*\(" src/           # Function definitions
zg "[0-9]+" data.txt       # Numbers
zg "foo|bar" .             # Alternation
zg "test_.*.zig" src/      # Wildcards

# Shorthand classes and counted repetition
zg '\d{3}-\d{4}' data.txt   # ASCII digits
zg '\w{2,8}' names.txt      # Unicode Perl word characters

# Unicode literals, ranges, case folding, and word matching
zg '[α-ω]+' text.txt
zg -i 'école' text.txt
zg -w 'cache' text.txt

# File filtering
zg "TODO" -g '*.py'        # Only Python files
zg "import" -g '!vendor/'  # Exclude vendor directory

# Counting matches
zg -c "TODO" .

# Finding files with matches
zg -l "FIXME" .

When to Use ripgrep Instead

Use ripgrep when a search needs features outside zipgrep's intentionally smaller surface:

# Unicode properties and Unicode semantics for \d and \s
rg '\p{Greek}+' .
rg '\d+' .                   # Includes non-ASCII decimal digits

# Word-boundary assertions, lazy quantifiers, captures, and inline flags
rg '\bword\b' .
rg '".*?"' .
rg '(?P<name>\w+)' .
rg '(?i:error)' .

# Look-around and pattern backreferences require PCRE2
rg -P '(?<=\$)\d+' .
rg -P '(\w+)\s+\1' .

# Cross-line matching; -U permits newlines and (?s:...) makes dot match them
rg -U '(?s:start.*?end)' .

# Context, structured output, and output replacement
rg -A 3 -B 2 'error' .
rg --json 'pattern' .
rg 'old' --replace 'new' .

# Search supported compressed streams
rg -z 'pattern' file.gz

# Control binary policy or emit binary bytes as text
rg --binary 'pattern' binary.exe
rg -a 'pattern' binary.exe

# Multiple patterns, pattern files, fixed strings, types, and encodings
rg -e 'TODO' -e 'FIXME' .
rg -f patterns.txt .
rg -F 'literal.*text' .
rg -tpy 'import' .
rg --encoding utf-16le 'name' data.txt

Despite the historical name of ripgrep's -z/--search-zip flag, it searches supported compressed streams; it does not traverse members of ZIP or tar archives.

Quick Reference: Regex Support

Pattern	zipgrep	ripgrep	Example
Literal text	✓	✓	`hello`
Any Unicode scalar except newline	✓ `.`	✓	`h.llo` → hello, hallo
Zero or more	✓ `*`	✓	`ab*c` → ac, abc, abbc
One or more	✓ `+`	✓	`ab+c` → abc, abbc
Optional	✓ `?`	✓	`colou?r` → color, colour
Counted repetition	✓, bounded by NFA size	✓	`a{2,4}`
Alternation	✓ `\|`	✓	`cat\|dog`
Plain grouping	✓, no captures exposed	✓, capturing	`(cat\|dog)+`
Character class	✓ `[abc]`	✓	`[aeiou]`
Negated class	✓ `[^abc]`	✓	`[^0-9]`
Unicode literal/range	✓	✓	`[α-ω]+`
Tab/carriage-return escapes	✓ `\t`/`\r`	✓	`key\tvalue`
Newline escape/cross-line match	✗	✓ with `-U`	`line1\nline2`
Whole-word mode	✓ Unicode-aware `-w`	✓ `-w`	`zg -w "word"`
Word-boundary assertion	✗	✓ `\b`	`\bword\b`
Digit	✓ ASCII `\d`	✓ Unicode `\d`	`\d+`
Word char	✓ Unicode 16.0 `\w`	✓ Unicode `\w`	`\w+`
Whitespace	✓ ASCII `\s`	✓ Unicode `\s`	`\s+`
Non-greedy	✗	✓ `*?` `+?`	`".*?"`
Captures/named groups	✗	✓	`(?P<word>\w+)`
Inline flags	✗	✓	`(?i:error)`
Lookahead	✗	✓ with `-P`	`foo(?=bar)`
Lookbehind	✗	✓ with `-P`	`(?<=\$)\d+`
Pattern backreference	✗	✓ with `-P`	`(\w+)\s+\1`
Unicode classes	✗	✓ `\p{L}`	`\p{Greek}`

Why Zig?

zipgrep demonstrates several Zig advantages for systems programming:

Explicit SIMD - @Vector provides portable SIMD without relying on autovectorization
No hidden allocations - All memory allocation is explicit and controllable
No garbage collector - Predictable performance with zero GC pauses
Compile-time execution - comptime enables zero-cost abstractions
Small binaries - No runtime overhead

Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
.agents		.agents
benchsuite		benchsuite
docs		docs
src		src
tests		tests
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
build.zig		build.zig
build.zig.zon		build.zig.zon

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zipgrep

Features

Installation

Homebrew (macOS)

Building from source

Running tests

Usage

Arguments

Options

Examples

How It Works

Sampled-Pair SIMD Fingerprinting

Architecture-Aware Vectorization

Packed and Aho-Corasick Multi-Pattern Search

Literal Extraction & Scoring

Buffer-First Search

Regex Engine

Parallelism

File I/O Strategy

Benchmarks

512 MiB English subtitle file

Linux source tree (1.7 GiB, 79K files)

Peak resident memory

Project Structure

Comparison with ripgrep

Feature Matrix

What zipgrep Supports

When to Use ripgrep Instead

Quick Reference: Regex Support

Why Zig?

Areas of Improvement

License

Acknowledgments

About

Releases

Packages

Contributors

Languages

Folders and files

Latest commit

History

Repository files navigation

zipgrep

Features

Installation

Homebrew (macOS)

Building from source

Running tests

Usage

Arguments

Options

Examples

How It Works

Sampled-Pair SIMD Fingerprinting

Architecture-Aware Vectorization

Packed and Aho-Corasick Multi-Pattern Search

Literal Extraction & Scoring

Buffer-First Search

Regex Engine

Parallelism

File I/O Strategy

Benchmarks

512 MiB English subtitle file

Linux source tree (1.7 GiB, 79K files)

Peak resident memory

Project Structure

Comparison with ripgrep

Feature Matrix

What zipgrep Supports

When to Use ripgrep Instead

Quick Reference: Regex Support

Why Zig?

Areas of Improvement

License

Acknowledgments

About

Resources

Stars

Watchers

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Releases

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