leonardomcl

leonardomcl / tokio4delphi

Public

High-performance async/await library for Delphi, powered by Rust's Tokio runtime.

10
4
100% credibility
Found Apr 26, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Pascal
AI Summary

This project adds background task handling to Delphi apps, allowing time-intensive work to run without freezing the user interface, using familiar patterns like parallel runs, races, and timeouts.

How It Works

1
🔍 Discover the tool

You're building a desktop app and want it to stay responsive while handling slow tasks like loading data or processing files.

2
📥 Get the ready files

Download the simple files from the project's page and place them next to your app's main program file.

3
➕ Add to your project

Include the provided helper code in your app so you can start using background tasks right away.

4
✨ Run your first task

Tell your app to do heavy work in the background, like fetching info or crunching numbers, while keeping the screen lively and clickable.

5
▶️ Test in your app

Click buttons or triggers in your app, and watch it handle multiple jobs at once without slowing down or freezing.

6
⚡ Handle smart patterns

Set up things like waiting for the fastest result, running steps in order, or looping over lots of items quickly across your computer's power.

🎉 Smooth, speedy app

Your app now feels modern and fast, juggling background work effortlessly so users love the responsive experience.

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Star Growth

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AI-Generated Review

What is tokio4delphi?

Tokio4Delphi is a high-performance async/await library for Delphi apps, powered by Rust's Tokio runtime. It lets you offload CPU-intensive or I/O-bound tasks—like HTTP requests, database queries, or file processing—to a persistent thread pool, keeping VCL and FMX UIs responsive. Developers get familiar patterns such as RunAsync for single tasks, All and Race for parallel execution, Series for pipelines, ParallelFor for loops across CPU cores, and utilities like WithTimeout and RetryAsync, all via simple anonymous methods.

Why is it gaining traction?

In a world of high performance GitHub libraries for C++, Python, or Java persistence, Delphi devs have lacked a zero-dependency async solution that rivals Rust's Tokio efficiency. This bridges that gap with JS/C#-style APIs, automatic main-thread callbacks, and cancellation tokens—no more nested callbacks or UI freezes. The persistent runtime means zero startup overhead per task, making it snappy for high-performance backends or browser networking scenarios.

Who should use this?

Delphi developers building desktop apps with heavy background work, like VCL/FMX tools for data imports, API polling, or parallel image processing. It's for backend Pascal coders needing async/await without switching languages, or anyone tired of TThread boilerplate in high-performance computing tasks. Ideal for Windows/Linux apps where UI responsiveness is non-negotiable.

Verdict

With only 10 stars and a 1.0% credibility score, it's early-stage and unproven at scale—test thoroughly before production. That said, the docs, examples, and MIT-licensed DLLs make it dead simple to prototype; grab the releases and try ParallelFor on a real workload if you're in the Delphi ecosystem.

(198 words)

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