zawk is a modern AWK built for that world: zawk = AWK + stdlib + Rust. Version 0.6.6 is out today, and this post is a tour of what makes it different.

It is still AWK​

Everything you know keeps working:

zawk -F: '$3 >= 1000 { print $1 }' /etc/passwd
zawk '{ c[$9]++ } END { for (s in c) print s, c[s] }' access.log
zawk '!seen[$0]++' data.txt

zawk is gawk mostly compatible and the successor of Eli Rosenthal's frawk. It infers the types of your variables, compiles the program to machine code with Cranelift, and uses SIMD to parse CSV and validate UTF-8. On large files it is usually 2-8x faster than gawk, and simple scripts can run in parallel with -p r.

Real structured data​

Classic AWK splits on a regex, which silently corrupts a CSV field like "Doe, John". zawk has real parsers, and columns have names:

zawk -i csv -H '$FI["age"] > 40 { print $FI["name"] }' users.csv
zawk -i jsonl '$FI["level"] == "error" { print $FI["ts"], $FI["msg"] }' app.jsonl
zawk -i parquet -o csv '{ print $1, $2 }' people.parquet > people.csv
zawk -H '{ print $FI["name"] }' 'book.xlsx#Sheet2'

Input can come from stdin, https://, s3://, compressed files, a database table, or a NATS subject:

zawk '$FI["age"] > 20 { print $FI["name"] }' 'mysql://root:123456@127.0.0.1:3306/test#people'
zawk -i json 'MSG_SUBJECT ~ /orders/ { print $FI["id"] }' 'nats://localhost:4222/events.>'

And output can be CSV, TSV, JSON Lines, Parquet, an aligned terminal table, or a Markdown table ready to paste into a pull request:

$ zawk -i csv -H -o md 'NR==1 { print "name", "age" } { print $FI["name"], $FI["age"] }' demo.csv
| name | age |
| --- | --- |
| Jackie | 48 |
| Love | 49 |

A standard library​

AWK has about twenty builtin functions. zawk has about 190, grouped like a real standard library:

zawk '{ u = url($1); print u["host"], pairs(u["query"], "&")["id"] }' urls.txt
zawk '{ print uuid("v7"), digest("sha256", $0), encode("base64", $0) }' data.txt
zawk -i jsonl '{ print json_value($FI["payload"], "$.user.email") }' events.jsonl
zawk '{ lat[NR] = $NF } END { print _median(lat), _quantile(lat, 0.99) }' api.log
zawk '{ r = http_get("https://api.example.com/users/" $1); print json_value(r["text"], "$.name") }' ids.txt
zawk -i csv -H '{ p[1] = $1; p[2] = $2; sqlite_execute("app.db", "insert into users values(?, ?)", p) }' users.csv

Text, case conversion, masking, fuzzy matching, JSON/XML/HTML, dates, durations, crypto and JWT, IDs, statistics, HTTP, email, S3, SQLite/MySQL/PostgreSQL, Redis/NATS KV, NATS/MQTT publishing... and functions that fail never crash a long run: they warn, set ERRNO, and return an empty value.

Modern syntax, without breaking AWK​

zawk adds a handful of constructs that make scripts shorter and safer:

{
    local ms = $FI["latency_ms"] ?? 0                       # local variables, default values
    level = match $FI["status"] {                           # match expressions
        /^2/ => "ok", /^4/ => "client", /^5/ => "server", _ => "unknown"
    }
    body = try read_all($FI["url"]) else ""                 # explicit error handling
    if ($FI["user"] !in seen) seen[$FI["user"]]             # !in
    assert(NF >= 3, f"line {NR}: expect 3 fields")          # fail fast
}
END {
    for (k, v in errors) print f"{k:<10} {v:>8,}"           # key-value loops, f-strings with format specs
    for (i in 1..=3) print $(-i)                            # ranges, negative field indexes
}

Raw strings (r"\d+\.\d+") end the double-backslash dance in dynamic regexes, and gawk's switch is there too.

Built for AI agents​

The one-liner author of 2026 is often an LLM. zawk is designed to be easy for agents to use correctly:

• zawk inspect data.csv shows the schema, sample rows and a column summary.
• zawk functions --json lists every function with its signature and an example.
• zawk lint type checks a program and reports JSON diagnostics with codes, lines and carets.
• zawk llm data.csv 'question' builds the whole prompt: schema, sample, language notes and your question.

zawk -i csv -H "$(zawk llm -i csv -H demo.csv 'how many adults?' | llm -x)" demo.csv
zawk llm -i csv -H demo.csv 'what is the average age of adults?' | claude -p --dangerously-skip-permissions

A Claude Code skill ships with the repository. And in the other direction, the jev functions let a zawk program ask typed questions of an LLM, per record:

zawk '{ print jev_choice($0, "which team should handle this?", "billing,technical,security,sales"), $0 }' tickets.txt

Try it​

brew install linux-china/tap/zawk     # macOS
cargo binstall zawk                                   # anywhere with Rust tooling

Then head to the Getting Started guide, the syntax overview, the standard library and the tutorials. zawk has rough edges and no one works on it full-time: issues and pull requests are very welcome.

Happy text gardening!