Laminate
Data, shaped layer by layer.
lam·i·nate /ˈlaməˌnāt/ verb
To bond layers of material together, each adding strength and structure to the whole. In software: to progressively shape raw, unstructured data into typed, validated values — layer by layer, at whatever depth your application requires.
The missing data layer for Rust. Progressive type coercion, automatic format detection, and fault-tolerant deserialization — built on serde, not against it.
MIT OR Apache-2.0 · Rust 1.85+ · 3 core dependencies
Install
[dependencies]
laminate = { version = "0.1", features = ["full"] }Real-world data is messy. Laminate handles it.
use laminate::FlexValue;
let data = FlexValue::from_json(
r#"{"port": "8080", "debug": "true"}"#
)?;
let port: u16 = data.extract("port")?; // "8080" → 8080
let debug: bool = data.extract("debug")?; // "true" → true“I would love to see this explored in a different library specifically geared toward fault-tolerant partially successful deserialization.”
— serde maintainer, issue #464 (2017)
Laminate is that library. It doesn't replace serde — it builds on top of it, adding the progressive coercion and graceful degradation that serde deliberately doesn't provide.
What's in the box
Progressive Coercion
Four levels of strictness — from exact type matching to best-effort conversion. You choose how forgiving your pipeline should be.
Learn more →Automatic Type Detection
guess_type() identifies integers, dates, currencies, emails, UUIDs, IBANs, credit cards, and 15+ other types from raw strings — with confidence scores.
Graduated Diagnostics
Every coercion reports what happened, the risk level (Info/Warning/Risky), and how to tighten it. Audit your data pipeline without breaking it.
Learn more →Domain Packs
Built-in parsers for dates (15+ formats), currencies (19 symbols), medical lab values (30+ analytes), identifiers (12 types with checksums), and units.
Learn more →Provider Normalization
Parse and normalize responses from Anthropic, OpenAI, and Ollama into a unified structure. Stream SSE events incrementally.
Learn more →Derive Macro
#[derive(Laminate)] with #[laminate(coerce)], #[laminate(default)], #[laminate(overflow)] — struct shaping with compile-time safety.