A local inference engine for Apple silicon, built around the model.
Star History
Momentum
+22
STARS · LAST 30 DAYS
1
PER DAY
#209
MOST-STARRED C++
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +22 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
splash gained 22 stars in the last 30 days, about 1 a day, and now has 873. It is about 1 year old and has averaged roughly 873 stars a year. It ranks #209 among C++ repositories and #2,790 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#88
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
splash has maintained a continuous presence across global trending indexes, peaking at #88. Below is the 30-day activity profile:
💡 Overview
splash is an open-source project written in Python: A local inference engine for Apple silicon, built around the model.
Engineered for speed, consistency, and developer ease, it solves common hurdles in apple-silicon, coding-agents, llm-inference. 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 Python 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
$ pip install splash⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
splash coordinates its core functionality through a modular Python 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 splash.
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
Install splash using your package manager: `pip install splash`
Initialize your project workspace or configuration file for splash.
Import splash into your codebase or invoke it directly from your terminal.
Execute your test suite or run `splash --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
incoai/splash is currently ranked #2,790 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #2,783 | spotiflacapp/SpotiFLAC-Extension | JavaScript | ★ 875 | Compare ↗ |
| #2,783 | Auto-Explore/GitComet | Rust | ★ 875 | Compare ↗ |
| #2,787 | Shopify/tapioca | Ruby | ★ 874 | Compare ↗ |
| #2,787 | pkgforge/soar | Rust | ★ 874 | Compare ↗ |
| #2,787 | heyjunpenn/awesome-jev | Astro | ★ 874 | Compare ↗ |
| #2,790 | incoai/splash This Project | C++ | ★ 873 | |
| #2,790 | edalzell/laravel-passwordless-login | PHP | ★ 873 | Compare ↗ |
| #2,790 | inline-chat/inline | TypeScript | ★ 873 | Compare ↗ |
| #2,790 | aws/context-ontology-accelerator | Python | ★ 873 | Compare ↗ |
| #2,794 | spiritbuun/buun-llama-cpp | C++ | ★ 872 | Compare ↗ |
| #2,795 | crmne/zapfast | Rust | ★ 871 | Compare ↗ |
Frequently Asked Questions
What does splash do? +
A local inference engine for Apple silicon, built around the model.
What language is splash written in? +
The primary language is C++. Topics include: apple-silicon, coding-agents, llm-inference, macos, metal.
Is splash actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 40 open issues being tracked.
How many stars does splash have? +
splash has 873 stars and 86 forks on GitHub.
How does splash rank among GitHub repositories? +
With 873 stars, incoai/splash is ranked #2,790 globally across all repositories tracked on GitHubRepo and #209 among C++ projects.
What license is splash distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
