rouzbehsbz

rouzbehsbz / spenta

Public

Fast data-parallel iterator for Go

concurrency data data-parallelism golang parallel-computing
12
2
100% credibility
Found Feb 17, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Go
AI Summary

Spenta is a lightweight library that speeds up processing lists and collections by handling them in parallel.

How It Works

1
🕵️ Discover Spenta

You hear about Spenta, a handy tool that makes handling big lists of items much faster by working on them all at once.

2
📥 Bring it into your project

You easily add Spenta to the project you're working on, like picking up a new kitchen gadget.

3
📝 Pick your list or collection

You select the list of numbers, words, or items you want to change, filter, or go through.

4
✨ Tell it what to do

You describe simple actions like doubling every number, checking for even ones, or applying a change to each item – it feels magical how straightforward it is.

5
🚀 Start the speedy process

You launch it, and it splits the work across your computer's power to finish quicker without you lifting a finger.

6
⏱️ See it wrap up fast

You wait just moments instead of ages, and all your updated list or filtered results are ready.

🎉 Celebrate faster work

Your project now handles big jobs lightning-quick, saving time and making everything run smoothly.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 11 to 12 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is spenta?

Spenta is a Go library for fast data-parallel iteration over slices and maps. It handles common ops like forEach, map, and filter by splitting data into chunks and processing them across goroutines scaled to your CPU cores—all lock-free and with generics for type safety. You pass a pointer to your data, a callback, and optional chunk size tweaks like WithMinChunkSize, then call Wait() to block for results or aggregated errors.

Why is it gaining traction?

Unlike manual goroutine orchestration or heavier frameworks, spenta auto-spawns workers and uses adaptive binary chunking for balanced, fast execution without locks or config hassle. Devs dig the simplicity for speeding up medium datasets—think 10x faster maps on multicore machines—plus error capture that keeps going on failures. It's a quick win over sequential loops for data-parallel tasks.

Who should use this?

Go backend engineers crunching large in-memory slices, like filtering search results or mapping user events in real-time services. Data pipeline devs transforming arrays before database inserts, or anyone needing fast github actions workflows with parallel data steps without sync boilerplate.

Verdict

At 12 stars and 1.0% credibility, spenta feels raw—solid README examples but no benchmarks, tests, or reduce/find support yet. Prototype with it for fast data-parallel gains, but stick to proven libs like generics in stdlib for prod until it matures.

(178 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.