Library API🔗

Every crate in the workspace publishes to crates.io and can be embedded in another Rust program. This section is the entry point for embedders, alternative-frontend authors, and contributors who need to understand the public Rust surface area.

For the canonical, line-by-line API reference, follow docs.rs/rsigma. The pages here are operator-facing overviews and pick a few representative examples per crate.

Crate matrix🔗

Crate	Depends on	Use it when you want to...
`rsigma-parser`	(nothing else from rsigma)	Parse a Sigma YAML file into a typed AST.
`rsigma-eval`	`rsigma-parser`	Compile that AST and evaluate events against it; run correlations; apply pipelines.
`rsigma-convert`	`rsigma-parser`	Emit backend-native query strings (PostgreSQL, LynxDB, or a custom backend you implement).
`rsigma-runtime`	`rsigma-parser`, `rsigma-eval`	Wrap the engine in a streaming runtime: input adapters, sinks, hot-reload, dynamic source resolution.
`rsigma-lsp`	`rsigma-parser`, `rsigma-eval`	Run the Sigma language server in your own editor integration.

rsigma-cli (the binary) ties everything together but is not a library and is not published to crates.io.

Pick the right entry point🔗

You want to...	Reach for
Lint or parse rules in a CI step	`rsigma-parser` only.
Run a one-shot evaluation against an in-memory event	`rsigma-parser` + `rsigma-eval`.
Generate SQL or SPL queries from rules	`rsigma-parser` + `rsigma-convert`.
Build a streaming detection pipeline (NATS in, NATS out, hot-reload, metrics)	`rsigma-parser` + `rsigma-eval` + `rsigma-runtime`.
Embed Sigma diagnostics into an editor	`rsigma-lsp` (consumes parser + eval internally).

Minimum working example🔗

The smallest "match one event" program needs three crates:

# Cargo.toml
[dependencies]
rsigma-parser = "0.12.0"
rsigma-eval = "0.12.0"
serde_json = "1"

use rsigma_eval::{Engine, JsonEvent};
use rsigma_parser::parse_sigma_yaml;
use serde_json::json;

fn main() -> Result<(), Box<dyn std::error::Error>> {
    let yaml = r#"
title: Whoami
id: 8b1d8c97-5b3a-4d77-9b48-7c5f7c8b1a2a
logsource:
    product: windows
    category: process_creation
detection:
    selection:
        CommandLine|contains: 'whoami'
    condition: selection
level: medium
"#;

    let collection = parse_sigma_yaml(yaml)?;

    let mut engine = Engine::new();
    engine.add_collection(&collection)?;

    let event_json = json!({ "CommandLine": "cmd /c whoami" });
    let event = JsonEvent::borrow(&event_json);

    for m in engine.evaluate(&event) {
        println!("matched: {}", m.rule_title);
    }
    Ok(())
}

Output:

matched: Whoami

Add rsigma-convert to emit SQL, or rsigma-runtime to wrap this in a daemon-like streaming pipeline. The per-crate pages walk through each layer.

Versioning🔗

The workspace ships every crate under a single shared version number. A v0.x release bumps every crate; you cannot mix rsigma-parser v0.10 with rsigma-eval v0.11. Pin all rsigma deps to the same version in your Cargo.toml. The release-notes (a mirror of CHANGELOG.md) document every public-API change.

Until v1.0 ships, minor versions can break public APIs. Lock dependencies in Cargo.lock and read the CHANGELOG before bumping.

Feature flags🔗

Every crate exposes a few opt-in features. The most useful for embedders:

rsigma-eval -> parallel, daachorse-index.
rsigma-runtime -> nats, otlp, logfmt, cef, evtx, daachorse-index.
rsigma-cli -> daemon, daemon-nats, daemon-otlp, plus the leaf-crate features above.

Full inventory: Feature flags reference.