Home Projects SwiftOpenAI
SwiftOpenAI
Swift

SwiftOpenAI

The most complete open-source Swift package for interacting with OpenAI's public API.

by jamesrochabrun · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
chatgpt-apiiosopenaiMITSwift
View on GitHub
In plain words

Interact with OpenAI's public API easily through a Swift package for iOS development.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
SwiftOpenAI — GitHub preview card
📈 Star history
655654
2026-07-202026-08-31
📈 Track SwiftOpenAI

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

The most complete open-source Swift package for interacting with OpenAI's public API.

SwiftOpenAI has 654 stars on GitHub. It has been forked 127 times. SwiftOpenAI is written mainly in Swift. It has been in active development since 2023. SwiftOpenAI is available under the MIT license. Its main topics are chatgpt-api, ios, openai, openai-api.

Frequently asked questions

What is SwiftOpenAI?

The most complete open-source Swift package for interacting with OpenAI's public API.

Is SwiftOpenAI open source?

SwiftOpenAI is an open-source project. It is released under the MIT license.

Is SwiftOpenAI free?

Yes. SwiftOpenAI is free and open source — you can use, modify and self-host it.

What license does SwiftOpenAI use?

SwiftOpenAI is available under the MIT license.

What language is SwiftOpenAI written in?

SwiftOpenAI is written mainly in Swift.

🏅 Maintainer of this project?
olud.ai badge — SwiftOpenAI

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=jamesrochabrun-swiftopenai)](https://olud.ai/project/jamesrochabrun-swiftopenai.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.