xtellect

xtellect / spaces

Public

A high-performance C allocator with explicit heap regions, fragmentation control, and runtime tuning.

allocator arena-allocator c heap linux
26
1
100% credibility
Found Mar 28, 2026 at 26 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
C
AI Summary

Spaces is a single-file C library that replaces standard memory allocation in Linux programs with faster, more controllable options including scoped regions, usage limits, and built-in inspection tools.

How It Works

1
🔍 Discover Spaces

You stumble upon Spaces on GitHub, a handy tool that makes programs handle memory much smarter and safer without the usual headaches.

2
📥 Grab and Prepare

Download the single file and follow the easy build steps to get the library ready for your project in minutes.

3
🔗 Connect to Your Program

Link it into your C program so it automatically takes over everyday memory tasks seamlessly.

4
🌟 Set Up Special Memory Zones

Create dedicated memory areas for different parts of your app, set firm spending limits, and inspect usage anytime.

5
⚙️ Tune and Control

Adjust sizes, share zones between programs if needed, and destroy entire areas with one simple action when done.

6
📊 Monitor and Benchmark

Run checks to see live memory use, compare speeds, and ensure everything stays efficient under load.

🎉 Run Smoothly Forever

Your program now uses memory perfectly—no leaks, no crashes at odd hours, just fast and reliable performance.

Sign up to see the full architecture

5 more

Sign Up Free

Star Growth

See how this repo grew from 26 to 26 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 spaces?

Spaces is a single-header C library that replaces malloc on Linux x86-64, delivering a high-performance heap allocator with explicit regions called chunks. You create isolated heaps for subsystems—like a parser's AST or a server's cache—set hard memory ceilings, inspect live allocations at runtime, share them across processes, and nuke the whole region in one call. It's for devs chasing high performance memory allocator setups without the usual fragmentation headaches or leak-chasing drudgery.

Why is it gaining traction?

Unlike black-box speed demons like jemalloc or tcmalloc, Spaces adds user-visible structure: per-chunk budgets to dodge OOMs, allocation walking without profilers, and fixed-size pools with zero overhead/fragmentation. Benchmarks put it top-3 on most workloads versus snmalloc and Hoard, with easy drop-in linking and runtime tuning via APIs. On high performance GitHub repos, it's a fresh take for composing high performance memory allocators beyond plain throughput.

Who should use this?

C backend devs on high performance servers (think MySQL-like or Spark workloads) needing bounded caches that won't explode at peak. Compiler/parser writers ditching per-node frees for arena destroys. High performance computing GitHub projects where runtime heap diagnostics beat Valgrind pauses, especially with cross-process sharing.

Verdict

Grab it for prototypes or niche Linux apps—solid docs, benchmarks, and API make evaluation straightforward despite 26 stars and 1.0% credibility signaling early maturity. Skip for production without more battle-testing; pair with GitHub Spaces tutorial for Codespaces/VSCode setup if tuning in the cloud.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.