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incoai/splash

A local inference engine for Apple silicon, built around the model.

C++ ◇ apple-silicon Apache-2.0
★1.9KSTARS
⑂182FORKS
!97ISSUES
🏆#5,865GLOBAL RANK
🔥45DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

splash is splash is an open-source project written in Python: A local inference engine for Apple silicon, built around the model..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), incoai/splash has accumulated 1,863 GitHub stars and 182 forks. It is written in C++, licensed under Apache-2.0, and ranks #5,865 globally. It is actively maintained with the latest commit recorded on Oct 27, 2026.”
Repository incoai/splash ↗
Primary Category apple silicon
Language & Stack C++
Software License Apache-2.0
Community Traction ★ 1.9K stars · ⑂ 182 forks · #5,865 globally
Maintenance ● Active (Last commit: Oct 27, 2026) · 97 open issues
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 92/100 · Grade A
✅
Is splash actively maintained in 2026?
Verdict: Actively Maintained

Yes, splash is actively maintained. Continuous telemetry recorded the last code commit on Oct 27, 2026 (17 days ago). Supported by 1,863 stars and 182 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (17 days ago) and healthy issue cadence.

Commit Recency
Oct 27, 2026
17 days since last push
Issue Backlog
97 Open Issues
Healthy Issue Cadence
Community Backing
182 Forks
1.9K Stars Recorded
Software License
Apache-2.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for incoai/splash
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Momentum

+449

STARS · LAST 30 DAYS

15

PER DAY

#455

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+0+449+1.4K
Per day11515
Forks gained+0+52+10

splash gained 449 stars in the last 30 days, about 15 a day, and now has 1.9K. It is about 1 year old and has averaged roughly 1.9K stars a year. It ranks #455 among C++ repositories and #5,865 across all languages on GitHubRepo.

Trending Record

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

1

Optimized execution pipeline written in Python 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
$ 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

1

Install splash using your package manager: `pip install splash`

2

Initialize your project workspace or configuration file for splash.

3

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

4

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

👍 Strengths

Active community backing with 774 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Python 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 Python 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

T
tensorflow/tensorflow ★ 201.6K C++

An Open Source Machine Learning Framework for Everyone

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L
ggml-org/llama.cpp ★ 134.2K C++

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R
react/react-native ★ 126.8K C++

A framework for building native applications using React

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E
electron/electron ★ 123.8K C++

:electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS

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👥 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 #5,865 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#5,860 operator-framework/operator-lifecycle-manager Go ★ 1.9K Compare ↗
#5,860 jithin-sabu/purge-app Swift ★ 1.9K Compare ↗
#5,862 factor/factor Factor ★ 1.9K Compare ↗
#5,862 diamondburned/dissent Go ★ 1.9K Compare ↗
#5,864 kairos-io/kairos Go ★ 1.9K Compare ↗
#5,865 incoai/splash This Project C++ ★ 1.9K
#5,865 Waboodoo/HTTP-Shortcuts Kotlin ★ 1.9K Compare ↗
#5,865 DenisSergeevitch/ex-ussr-kinship-research Python ★ 1.9K Compare ↗
#5,868 slackhq/circuit Kotlin ★ 1.9K Compare ↗
#5,869 FuzzyIdeas/Clop Swift ★ 1.9K Compare ↗
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Frequently Asked Questions

What does splash do? +

A local inference engine for Apple silicon, built around the model.

Is splash actively maintained in 2026? +

Yes, splash is actively maintained. The latest code push was recorded on Oct 27, 2026 (17 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 1,863 stars and 97 open issues.

What language is splash written in? +

The primary language is C++. Topics include: apple-silicon, coding-agents, llm-inference, macos, metal.

How many stars does splash have? +

splash has 1,863 stars and 182 forks on GitHub.

How does splash rank among GitHub repositories? +

With 1,863 stars, incoai/splash is ranked #5,865 globally across all repositories tracked on GitHubRepo and #455 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.

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