nubskr

nubskr / ziggy

Public

Lock free MPMC channel in under 200 LOC

19
0
100% credibility
Found Feb 02, 2026 at 8 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Zig
AI Summary

Ziggy is a high-performance tool for programs to exchange messages rapidly among multiple sources and destinations, shown through detailed speed tests and visual comparisons.

How It Works

1
🔍 Discover Ziggy

You stumble upon Ziggy while looking for ways to make programs share tons of messages super fast between many senders and receivers.

2
📥 Grab the files

You save the project to your computer to check out its impressive speed claims.

3
▶️ Launch the demo

You start the built-in speed test that simulates busy workers passing millions of messages.

4
⚡ See the results

Numbers flash up showing over 6 million messages handled per second with delays mostly under 0.1 milliseconds.

5
📊 Compare fairly

You run a side-by-side test with a well-known alternative and create simple charts to visualize the close race.

🏆 Unlock top speed

Now you have proof Ziggy keeps data flowing lightning-quick in heavy multitasking setups.

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Star Growth

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AI-Generated Review

What is ziggy?

Ziggy delivers a lock-free multi-producer multi-consumer (MPMC) channel in Zig, packing high performance computing into under 200 lines. You get a fixed-size ring buffer where producers push values via a blocking `produce` call, consumers pull with blocking `consume` or non-blocking `tryConsume`, and a `close` to shut it down cleanly. It solves efficient thread-to-thread messaging for concurrent apps needing github high availability without locks or allocations mid-operation.

Why is it gaining traction?

Benchmarks pit it against Rust's Crossbeam, matching p99.9 latency under 0.2ms and 6M+ ops/sec throughput in 10P/10C setups—impressive for Zig's lean runtime. The hook is dead-simple API plus power-of-two sizing for cache-friendly speed, letting devs skip heavyweight alternatives like custom queues. Tighten ziggy github fans will appreciate the no-frills high performance habits.

Who should use this?

Zig backend devs building high-throughput servers, real-time simulators, or stream processors where MPMC channels bottleneck scaling. Suits embedded systems hackers or high performance team leads porting Rust concurrency patterns, especially with multiple producers/consumers hammering shared data.

Verdict

Solid benchmarks and fuzz tests make it usable now, but 16 stars and 1.0% credibility score scream early alpha—expect to tweak for production. Grab it for high performance computing prototypes if you're in Zig; otherwise, watch for maturity.

(178 words)

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