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timescale/rsigma

A complete Sigma detection engineering toolkit: parser, linter, evaluator, correlation engine, conversion framework, streaming daemon, MCP and LSP servers :crab:

Rust ◇ backend MIT
★150STARS
⑂18FORKS
!20ISSUES
🏆#9,165GLOBAL RANK
🔥2DAYS TRENDING
🚀
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#865

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

rsigma gained 10 stars in the last 30 days, about 1 a day, and now has 150. It is about 1 year old and has averaged roughly 150 stars a year. It ranks #865 among Rust repositories and #9,165 across all languages on GitHubRepo.

Trending Record

rsigma has maintained a continuous presence across global trending indexes, peaking at #8090. Below is the 30-day activity profile:

💡 Overview

rsigma is an open-source project written in Rust: A complete Sigma detection engineering toolkit: parser, linter, evaluator, correlation engine, conversion framework, streaming daemon, MCP and LSP servers :crab:.

Engineered for speed, consistency, and developer ease, it solves common hurdles in backend, converter, correlation. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Rust for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ cargo install rsigma

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

rsigma coordinates its core functionality through a modular Rust pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Production System Integration

Embed rsigma into Rust backend services to handle core application logic.

CI/CD Automated Pipelines

Run automated validation, builds, and integration suites during deployments.

Developer Tooling & Workflows

Accelerate developer onboarding with pre-configured project utilities.

Open Source Extension

Fork and customize internal modules under the repository's open MIT license.

🚀 Getting Started

1

Install rsigma using your package manager: `cargo install rsigma`

2

Initialize your project workspace or configuration file for rsigma.

3

Import rsigma into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `rsigma --help` to verify successful setup.

👍 Strengths

Active community backing with 150 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Rust for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Rust and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

timescale/rsigma is currently ranked #9,165 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#9,135 drogus/apache-upload-progress-module C ★ 151 Compare ↗
#9,135 holon-run/holon Rust ★ 151 Compare ↗
#9,135 HoldMyBeer-gg/blend-ai Python ★ 151 Compare ↗
#9,135 Own716/OwnBoxForAndroid Kotlin ★ 151 Compare ↗
#9,135 loomx-ai/steward Go ★ 151 Compare ↗
#9,165 timescale/rsigma This Project Rust ★ 150
#9,165 crabbuild/crab Rust ★ 150 Compare ↗
#9,165 cx-language/cx C++ ★ 150 Compare ↗
#9,165 jdp/redisent PHP ★ 150 Compare ↗
#9,165 hafriedlander/jquery.entwine JavaScript ★ 150 Compare ↗
#9,165 sdroege/gst-plugin-rs Rust ★ 150 Compare ↗

Frequently Asked Questions

What does rsigma do? +

A complete Sigma detection engineering toolkit: parser, linter, evaluator, correlation engine, conversion framework, streaming daemon, MCP and LSP servers :crab:

What language is rsigma written in? +

The primary language is Rust. Topics include: backend, converter, correlation, detection, fibratus.

Is rsigma actively maintained? +

Yes, the last recorded push was on Sep 30, 2026 with 20 open issues being tracked.

How many stars does rsigma have? +

rsigma has 150 stars and 18 forks on GitHub.

How does rsigma rank among GitHub repositories? +

With 150 stars, timescale/rsigma is ranked #9,165 globally across all repositories tracked on GitHubRepo and #865 among Rust projects.

What license is rsigma distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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