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MacPaw
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MacPaw/OpenAI

Swift community driven package for OpenAI public API

Swift ◇ ai MIT
★2.9KSTARS
⑂520FORKS
!43ISSUES
🏆#1,849GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+74

STARS · LAST 30 DAYS

2

PER DAY

#81

MOST-STARRED Swift

Window7 days30 days90 days
Stars gained+14+74+180
Per day222
Forks gained+3+10+26

OpenAI gained 74 stars in the last 30 days, about 2 a day, and now has 2.9K. It is about 4 years old and has averaged roughly 737 stars a year. It ranks #81 among Swift repositories and #1,849 across all languages on GitHubRepo.

Trending Record

OpenAI has maintained a continuous presence across global trending indexes, peaking at #2438. Below is the 30-day activity profile:

💡 Overview

OpenAI is an open-source project written in Swift: Swift community driven package for OpenAI public API.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, openai, openai-api. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Swift for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ git clone https://github.com/MacPaw/OpenAI.git
cd OpenAI

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Swift 5.9+ / Xcode 15+ (macOS/Linux)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

OpenAI coordinates its core functionality through a modular Swift pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with OpenAI.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install OpenAI using your package manager: `git clone https://github.com/MacPaw/OpenAI.git`

2

Initialize your project workspace or configuration file for OpenAI.

3

Import OpenAI into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `OpenAI --help` to verify successful setup.

👍 Strengths

Active community backing with 2,946 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Swift for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Swift and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

💡
Open Source Alternative to OpenAI API & ChatGPT Replaces proprietary subscriptions (Pay-per-token pricing with zero private data guarantees) with self-hosted freedom.
Explore all OpenAI API & ChatGPT alternatives →
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👥 Who Should Use This

Developers and engineering teams building with Swift, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

MacPaw/OpenAI is currently ranked #1,849 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#1,844 probe-rs/probe-rs Rust ★ 3K Compare ↗
#1,845 DamRsn/NeuralNote C++ ★ 3K Compare ↗
#1,845 publicsuffix/list Go ★ 3K Compare ↗
#1,847 Rust-GCC/gccrs C++ ★ 3K Compare ↗
#1,848 zenstackhq/zenstack TypeScript ★ 2.9K Compare ↗
#1,849 MacPaw/OpenAI This Project Swift ★ 2.9K
#1,850 dalathegreat/Battery-Emulator C++ ★ 2.9K Compare ↗
#1,851 10miaomiao/bilimiao2 Kotlin ★ 2.9K Compare ↗
#1,852 VibiumDev/vibium Go ★ 2.9K Compare ↗
#1,852 OpenMind/OM1 Go ★ 2.9K Compare ↗
#1,852 CanineHQ/canine Ruby ★ 2.9K Compare ↗

Frequently Asked Questions

What does OpenAI do? +

Swift community driven package for OpenAI public API

What language is OpenAI written in? +

The primary language is Swift. Topics include: ai, openai, openai-api, spm, swift.

Is OpenAI actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 43 open issues being tracked.

How many stars does OpenAI have? +

OpenAI has 2,946 stars and 520 forks on GitHub.

How does OpenAI rank among GitHub repositories? +

With 2,946 stars, MacPaw/OpenAI is ranked #1,849 globally across all repositories tracked on GitHubRepo and #81 among Swift projects.

What license is OpenAI distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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