Trans-N-ai/swama
High-performance MLX-based LLM inference engine for macOS with native Swift implementation
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+15
STARS · LAST 30 DAYS
1
PER DAY
#315
MOST-STARRED Swift
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +15 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
swama gained 15 stars in the last 30 days, about 1 a day, and now has 592. It is about 1 year old and has averaged roughly 592 stars a year. It ranks #315 among Swift repositories and #7,201 across all languages on GitHubRepo.
Trending Record
12
DAYS ON TRENDING
#4943
BEST RANK
Oct 1, 2026
FIRST APPEARANCE
Active
STATUS TODAY
swama has maintained a continuous presence across global trending indexes, peaking at #4943. Below is the 30-day activity profile:
💡 Overview
swama is an open-source project written in Swift: High-performance MLX-based LLM inference engine for macOS with native Swift implementation.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Swift. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Swift for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ git clone https://github.com/Trans-N-ai/swama.git
cd swama⚙ 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
swama 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
Production System Integration
Embed swama into Swift backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open MIT license.
🚀 Getting Started
Install swama using your package manager: `git clone https://github.com/Trans-N-ai/swama.git`
Initialize your project workspace or configuration file for swama.
Import swama into your codebase or invoke it directly from your terminal.
Execute your test suite or run `swama --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 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
Trans-N-ai/swama is currently ranked #7,201 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #7,191 | joske/yserver | Rust | ★ 594 | Compare ↗ |
| #7,197 | markbates/configatron | Ruby | ★ 593 | Compare ↗ |
| #7,197 | facebook/chef-cookbooks | Ruby | ★ 593 | Compare ↗ |
| #7,197 | gentics/mesh | Java | ★ 593 | Compare ↗ |
| #7,197 | Th0rgal/open_oura | Rust | ★ 593 | Compare ↗ |
| #7,201 | Trans-N-ai/swama This Project | Swift | ★ 592 | |
| #7,201 | jasonlong/mater | Swift | ★ 592 | Compare ↗ |
| #7,201 | bluescan/tacentview | C++ | ★ 592 | Compare ↗ |
| #7,201 | sauravhathi/atsresume | JavaScript | ★ 592 | Compare ↗ |
| #7,201 | mogenius/renovate-operator | Go | ★ 592 | Compare ↗ |
| #7,206 | bolt/core | PHP | ★ 591 | Compare ↗ |
Frequently Asked Questions
What does swama do? +
High-performance MLX-based LLM inference engine for macOS with native Swift implementation
What language is swama written in? +
The primary language is Swift. Topics include: software.
Is swama actively maintained? +
Yes, the last recorded push was on Oct 5, 2026 with 8 open issues being tracked.
How many stars does swama have? +
swama has 592 stars and 31 forks on GitHub.
How does swama rank among GitHub repositories? +
With 592 stars, Trans-N-ai/swama is ranked #7,201 globally across all repositories tracked on GitHubRepo and #315 among Swift projects.
What license is swama distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
