cloudrift-ai/emmy
Optimized GPU compiler for LLM inference. Choose from a list of optimized recipes or optimize your own model via kernel fusion, autotuning, and advanced scheduling. Run benchmarks across different GPU types and configurations, track results and share experiments with the community.
⚡ Executive Summary & Quick Facts
Authoritative Sourceemmy is emmy is an open-source project written in Python: Optimized GPU compiler for LLM inference. Choose from a list of optimized recipes or optimize your own model via kernel fusion, autotuning, and advanced scheduling. Run benchmarks across different GPU types and configurations, track results and share experiments with the community..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), cloudrift-ai/emmy has accumulated 121 GitHub stars and 19 forks. It is written in Python, licensed under Apache-2.0, and ranks #24,327 globally. It is actively maintained with the latest commit recorded on Oct 31, 2026.”
| Repository | cloudrift-ai/emmy ↗ |
|---|---|
| Primary Category | compilers |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 121 stars · ⑂ 19 forks · #24,327 globally |
| Maintenance | ● Active (Last commit: Oct 31, 2026) · 16 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: 93/100 · Grade A+Yes, emmy is actively maintained. Continuous telemetry recorded the last code commit on Oct 31, 2026 (12 days ago). Supported by 121 stars and 19 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#3,333
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
emmy gained 10 stars in the last 30 days, about 1 a day, and now has 121. It is about 1 year old and has averaged roughly 121 stars a year. It ranks #3,333 among Python repositories and #24,327 across all languages on GitHubRepo.
Trending Record
20
DAYS ON TRENDING
#3913
BEST RANK
Oct 19, 2026
FIRST APPEARANCE
Active
STATUS TODAY
emmy has maintained a continuous presence across global trending indexes, peaking at #3913. Below is the 30-day activity profile:
💡 Overview
emmy is an open-source project written in Python: Optimized GPU compiler for LLM inference. Choose from a list of optimized recipes or optimize your own model via kernel fusion, autotuning, and advanced scheduling. Run benchmarks across different GPU types and configurations, track results and share experiments with the community.
Engineered for speed, consistency, and developer ease, it solves common hurdles in compilers, gpu-computing, 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 emmy⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
emmy 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 emmy.
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 emmy using your package manager: `pip install emmy`
Initialize your project workspace or configuration file for emmy.
Import emmy into your codebase or invoke it directly from your terminal.
Execute your test suite or run `emmy --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
cloudrift-ai/emmy is currently ranked #24,327 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #24,225 | yc-software/minecraft-agent-harness | JavaScript | ★ 122 | Compare ↗ |
| #24,225 | FreedomIntelligence/BodyVista | JavaScript | ★ 122 | Compare ↗ |
| #24,225 | Shahrukhalid/nexonic-download-manager | C# | ★ 122 | Compare ↗ |
| #24,225 | fuyichen0725/blinkmimic | Python | ★ 122 | Compare ↗ |
| #24,225 | Balanov/latch | JavaScript | ★ 122 | Compare ↗ |
| #24,327 | cloudrift-ai/emmy This Project | Python | ★ 121 | |
| #24,327 | TwP/bones | Ruby | ★ 121 | Compare ↗ |
| #24,327 | jm/context | Ruby | ★ 121 | Compare ↗ |
| #24,327 | drone29a/clojure-twitter | Clojure | ★ 121 | Compare ↗ |
| #24,327 | svoop/autotest-fsevent | Ruby | ★ 121 | Compare ↗ |
| #24,327 | arton/rjb | C | ★ 121 | Compare ↗ |
Frequently Asked Questions
What does emmy do? +
Optimized GPU compiler for LLM inference. Choose from a list of optimized recipes or optimize your own model via kernel fusion, autotuning, and advanced scheduling. Run benchmarks across different GPU types and configurations, track results and share experiments with the community.
Is emmy actively maintained in 2026? +
Yes, emmy is actively maintained. The latest code push was recorded on Oct 31, 2026 (12 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 121 stars and 16 open issues.
What language is emmy written in? +
The primary language is Python. Topics include: compilers, gpu-computing, inference, llm-inference, llmops.
How many stars does emmy have? +
emmy has 121 stars and 19 forks on GitHub.
How does emmy rank among GitHub repositories? +
With 121 stars, cloudrift-ai/emmy is ranked #24,327 globally across all repositories tracked on GitHubRepo and #3,333 among Python projects.
What license is emmy distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
