Skillet — “Lightning-fast formulas, Rust-powered.”

Skillet is a tiny, embeddable expression engine (written in Rust) inspired by Excel formulas and Ruby-style chaining. It parses expressions into an AST and evaluates them with a small runtime.

This MVP supports numbers, strings, booleans, nulls, arrays, method chaining, functions (built-ins), comparisons, logical ops, ternary, array indexing/slicing, spread ..., lambdas with named parameters, and basic type casting via ::Type.

Skilled can be extended with JS, take a look at Documentation

Build

• Requirements: Rust stable (2021 edition)
• Build and test:

cargo build
cargo test

CLI (quick try)

A minimal CLI is included to evaluate expressions without external variables.

cargo run --bin sk -- "= [30,60,80,100].filter(:x > 50).map(:x * 0.9).sum()"

Notes:

• Wrap the expression in quotes in your shell.
• A leading = is optional (supported for spreadsheet-style familiarity).

Library Usage

Add to your Cargo project (path example):

[dependencies]
skillet = { path = "../skillet" }

Evaluate expressions:

use skillet::{evaluate, evaluate_with, Value};
use std::collections::HashMap;

fn main() -> Result<(), Box<dyn std::error::Error>> {
    // Numeric
    let v = evaluate("= 2 + 3 * 4")?; // -> Value::Number(14.0)

    // Variables
    let mut vars = HashMap::new();
    vars.insert("sales".to_string(), Value::Number(5000.0));
    let v = evaluate_with("=SUM(:sales, 1000)", &vars)?; // -> 6000.0

    // Strings and chaining
    let v = evaluate("= '  john  '.trim().upper()")?; // -> "JOHN"

    // Arrays + F/M/R
    let v = evaluate("= [30,60,80,100].filter(:x > 50).map(:x * 0.9).sum()")?; // -> 216.0

    // Named lambda parameters
    let v = evaluate("= FILTER([1,2,3,4], :n % 2 == 0, 'n')")?; // -> [2,4]

    // Type casting
    let v = evaluate("= '42'::Integer")?; // -> 42
    Ok(())
}

Language Features (MVP)

• Numbers, booleans (TRUE/FALSE), strings ('...' or "..."), NULL
• Operators: + - * / % ^, > < >= <= == !=, AND/OR/NOT (also &&/||/!), ternary ? :
• Variables: :name (provided via evaluate_with map)
• Functions (subset):
  • Math: SUM, AVG/AVERAGE, MIN, MAX, ROUND, CEIL, FLOOR, ABS, SQRT, POW
  • Arrays: ARRAY, FIRST, LAST, CONTAINS, UNIQUE, SORT, REVERSE, JOIN, FLATTEN
  • Strings: CONCAT, UPPER, LOWER, TRIM, LENGTH, SPLIT, REPLACE
  • Logic: ISBLANK
  • Functional: FILTER(array, expr, [param]), MAP(array, expr, [param]), REDUCE(array, expr, initial, [valParam], [accParam])
  • Conditional aggregations: SUMIF(array, expr), AVGIF(array, expr), COUNTIF(array, expr)
• Methods (subset): chaining with . and predicates ?
  • Numbers: .abs() .round(n) .floor() .ceil(); predicates .positive? .negative? .zero? .even? .odd? .numeric?
  • Arrays: .length() .size() .first() .last() .sum() .avg() .min() .max() .sort() .unique() .reverse() .compact() .flatten()
  • Strings: .upper() .lower() .trim() .reverse()
• Arrays: literals [1, 2, 3]; indexing arr[i] (negatives allowed); slicing arr[a:b]
• Spread: ...expr inside arg lists
• Casting: expr::Integer|Float|String|Boolean|Array|Currency|DateTime|Json

Examples

• Arithmetic precedence: = 2 + 3 * 4 → 14
• Ternary: = :score >= 90 ? 'A' : 'B'
• Named lambda param: = [1,2,3,4].map(:v * 10, 'v') → [10,20,30,40]
• Reduce with named params: = [1,2,3].reduce(:a + :v, 0, 'v', 'a') → 6
• SUMIF: = SUMIF([1,-2,3,-4], :x > 0) → 4
• FLATTEN: = FLATTEN([1,[2,[3]],4]) → [1,2,3,4]

Notes

• This is an MVP; error messages and type coverage are intentionally minimal.
• No external dependencies (serde/chrono) are used yet.
• For variables beyond numbers/strings/arrays (e.g., dates, currency), see Value in src/types.rs.

Tests

Run the test suite:

cargo test

Author

@zenbakiak

License

MIT OR Apache-2.0