gocronx

gocronx / seqflow

Public

High-performance lock-free Disruptor for Go

seqflow-docs.pages.dev disruptor
32
3
100% credibility
Found Mar 15, 2026 at 28 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Go
AI Summary

seqflow is a Go library that enables ultra-fast, lock-free coordination of data processing pipelines between program parts using a circular buffer and sequence tracking.

How It Works

1
🔍 Discover seqflow

You learn about seqflow while searching for ways to make your program handle busy data streams super smoothly and fast.

2
📥 Bring it home

You easily add seqflow to your project so it can start powering up your data handling.

3
📋 Plan your assembly line

You sketch out the steps for your data journey, like first check it, then work on it, then save it, linking them in order.

4
🚀 Turn on the flow

You launch the system with one simple start, and it begins eagerly waiting for data to zoom through.

5
📤 Pour in the data

You start sending messages or tasks into the pipeline, watching them rush along without any holdups.

⚡ Blazing speed achieved

Your program now processes floods of data lightning-quick, feeling smooth and powerful every time.

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Star Growth

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AI-Generated Review

What is seqflow?

Seqflow brings the LMAX Disruptor pattern to Go as a high-performance, lock-free ring buffer for inter-goroutine messaging. Producers reserve batches of slots atomically with `Reserve(n)`, write zero-copy via `RingBuffer().Set()`, and publish with `Commit()`; consumers chain handlers in DAGs like decode -> process -> store using `WithHandler()` and `DependsOn()`. It solves Go channels' lock contention and allocation overhead in high-throughput pipelines.

Why is it gaining traction?

Benchmarks crush channels—2.1ns single-writer (10x faster), 0.13ns batches (160x)—with zero allocs on M4 chips, plus multi-writer support and tunable wait strategies like busy-spin or blocking. Developers eye it for high performance backend github needs, akin to C++ high performance github libs or Rust high performance lock-free queues, but with easy DAG topologies and optional metrics. The quick-start example runs in seconds via `go get`.

Who should use this?

Backend Go devs building event-driven microservices, real-time trading platforms, or streaming processors hitting channel limits at millions/sec. Suited for high performance computing github workloads like Spark-style pipelines or MySQL ingest, where batching and lock-free seqflow js-like flows boost throughput without Rust/Java switches.

Verdict

Grab for perf-critical hot paths if channels bottleneck you—docs, examples, and tests are solid despite 14 stars and 1.0% credibility score signaling early maturity. Prototype freely, but monitor for production stability.

(178 words)

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