bearcove

bearcove / kajit

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facet-based JIT (de)serialization for Rust

12
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100% credibility
Found Mar 04, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

Kajit is a Rust library that generates custom native code at startup to deserialize data from JSON and Postcard formats using only type shape hints.

How It Works

1
🔍 Discover Kajit

You hear about Kajit in a Rust forum while seeking ways to make your app handle big data files much faster.

2
📝 Tag Your Data Types

Add a simple note to your data structures telling Kajit their shape, no extra files or complex setups.

3
⚡ Build Super-Fast Unpackers

Run your build and Kajit instantly creates custom, blazing-fast code tailored just for your data.

4
📥 Load Your Data

Point Kajit at your JSON or compact data files and it unpacks them directly into your structures.

5
📊 See the Speed Boost

Run benchmarks and watch your app process huge files in a fraction of the usual time.

🚀 Apps Fly Through Data

Your project now zips through massive datasets effortlessly, feeling smooth and responsive.

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Star Growth

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AI-Generated Review

What is kajit?

Kajit is a Rust crate for facet-based JIT (de)serialization, turning `#[derive(Facet)]` types into native machine code deserializers at startup—no proc macros or schema files needed. It handles Postcard binaries and full JSON (objects, arrays, escapes, surrogates) for primitives, strings, structs, `#[repr(u8)]` enums, `Option`, and `Vec`. Developers get tailored, zero-dispatch parsers that mimic hand-written code, slashing overhead in data-heavy apps.

Why is it gaining traction?

Unlike Serde's generic paths, kajit compiles type-specific JIT code for aarch64/x86_64, delivering benchmark wins on fixtures like Twitter JSON or Canada GeoJSON—often 2-5x faster with no intermediate allocations. The khajiit Elder Scrolls meme vibe ("khajiit has wares") hooks Rustaceans, while facet reflection keeps it schema-free and extensible. Early adopters praise varint loops and string writes that rival C.

Who should use this?

Rust backend devs parsing bulk JSON/Postcard in services, like API gateways or game backends (khajiit Skyrim mods, khajiit name generators, kajitsu NYC event feeds). Ideal for high-throughput deserialization where Serde bottlenecks hot loops, or embedded systems needing exact-capacity `Vec` allocs without runtime reflection.

Verdict

Promising for perf-critical (de)serialization if you're already on Facet—benchmarks shine—but 12 stars and 1.0% credibility signal early alpha status with thin docs. Test on your payloads; skip for production until more battle-tested.

(198 words)

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