nihiL7331

nihiL7331 / oo-alloc

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An object-oriented memory allocation library written in C++20.

14
0
100% credibility
Found May 04, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
C++
AI Summary

A library of custom memory management tools in C++ designed to optimize allocation strategies for better performance in applications.

How It Works

1
🔍 Discover Smart Memory Tools

You hear about a helpful collection of tools that make computer memory work faster and smarter for your programs.

2
📥 Bring It Home

You download the simple files to your computer, ready to try them out.

3
🛠️ Get Ready to Use

You follow easy steps to prepare the tools so they're all set up and working.

4
📊 Pick the Perfect Fit

You look at a clear guide showing which tool suits your needs best, like quick grabs or bulk storage, feeling excited about the speed gains.

5
🔗 Add to Your Project

You easily connect the chosen tool into your own program, making memory handling a breeze.

6
Test the Speed

You run quick checks to see how much faster everything runs now.

🚀 Feel the Boost

Your program zips along with better memory use, saving time and resources every day.

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AI-Generated Review

What is oo-alloc?

oo-alloc is a C++20 library delivering an object-oriented approach to memory allocation, bundling allocators like arena for bulk ops, stack for temp data, pool for fixed sizes, buddy for power-of-two blocks, and slab for object caching. It lets developers swap strategies via a common interface to match access patterns and lifetimes, cutting fragmentation and boosting speed over std::malloc. You get O(1) ops where possible, clear(), realloc, and tracking for leaks—all from one github object oriented programming repo.

Why is it gaining traction?

Its standout overview table pits alloc time, free complexity, overhead, and use cases head-to-head, helping pick winners fast without guesswork. Benchmarks via Google Benchmark show real frag search and recycle perf, while diagrams explain quirks like LIFO frees. The tracking wrapper adds debug stats (peak bytes, active count) with minimal overhead, hooking devs tired of vague memory tools.

Who should use this?

C++ game devs allocating entity pools or frames needing arena/stack speed. Embedded/systems coders optimizing for low frag with buddy/slab in RTOS. Interview preppers grinding object oriented design github problems on custom alloc.

Verdict

Early at 14 stars and 1.0% credibility—docs shine with tables/benchmarks/tests, but lacks segregated fits and prod hardening. Grab for C++20 allocator experiments or prototypes; hold for mission-critical until more adoption.

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