pioner92

pioner92 / react-native-columnar

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🚀 High-performance utility for zero-copy data transport from JSI C++ to JavaScript via columnar ArrayBuffer layout

arraybuffer binary jsi react-native react-native-jsi
10
0
100% credibility
Found May 12, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A React Native library that enables efficient transfer of large numeric datasets from native code to JavaScript by using compact columnar buffers instead of individual objects.

How It Works

1
🔍 Spot the slowdown

You're building a mobile app that shows lots of numbers like user stats or sensor readings, but it lags and feels sluggish with big lists.

2
💡 Find the speed booster

You discover a clever tool that packs data into a compact bundle to make handling large number lists super fast without waste.

3
📦 Add it to your app

You easily bring this tool into your app project so it's ready to use.

4
📋 Shape your data columns

You simply describe the kinds of numbers in your data, like IDs, flags, or dates, matching what you'll send and receive.

5
📤 Pack the data neatly

From your app's quick processing parts, you fill rows of numbers into the compact bundle.

6
📥 Unpack into usable lists

In your app's screen code, you pull out each column as a ready-to-use list of numbers.

🚀 Blazing fast results

Your app now smoothly handles thousands of data points, charts update instantly, and everything feels snappy.

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Star Growth

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AI-Generated Review

What is react-native-columnar?

react-native-columnar is a TypeScript library for React Native that enables zero-copy transport of large numeric datasets from JSI C++ code to JavaScript using a single columnar ArrayBuffer. Instead of returning slow arrays of objects that spike GC pressure, it packs data into aligned typed array views—no parsing or copying needed. Developers define a schema on both sides, write columns in C++, and read them directly as Int32Array or Float64Array in JS.

Why is it gaining traction?

It delivers brutal speedups—up to 208x faster than object arrays in benchmarks on iPhone hardware—for high performance data loading utility tasks like SQLite queries or sensor streams. As a C++ high performance GitHub tool tailored for React Native's JSI, it stands out by slashing JS overhead without custom parsing, making realtime charts or analytics events buttery smooth. The simple schema API and prefab Android linking hook devs chasing high performance utility gains.

Who should use this?

React Native engineers building JSI modules for high performance backend GitHub integrations, like pulling large result sets from native databases or processing frame data in ML pipelines. Ideal for mobile devs handling sensor streams, realtime 3D high performance utility tools, or event batches where JS perf bottlenecks kill UX. Skip if you need strings or nulls—stick to dense numerics.

Verdict

Try it for perf-critical JSI data flows; docs and benchmarks are solid, but with 10 stars and 1.0% credibility score, it's early-stage—test thoroughly before production. Pairs well with high performance computing GitHub patterns in React Native.

(178 words)

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