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llm-d/llm-d-inference-sim

A lightweight, configurable, and real-time simulator designed to mimic the behavior of vLLM without the need for GPUs or running actual heavy models.

Go ◇ incubating Apache-2.0

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★214STARS

⑂165FORKS

!16ISSUES

🏆#12,669GLOBAL RANK

🔥13DAYS TRENDING

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Momentum

+10

STARS · LAST 30 DAYS

PER DAY

#1,372

MOST-STARRED Go

Window	7 days	30 days	90 days
Stars gained	+6	+10	+90
Per day	1	1	1
Forks gained	+8	+3	+10

llm-d-inference-sim gained 10 stars in the last 30 days, about 1 a day, and now has 214. It is about 2 years old and has averaged roughly 107 stars a year. It ranks #1,372 among Go repositories and #12,669 across all languages on GitHubRepo.

Trending Record

llm-d-inference-sim has maintained a continuous presence across global trending indexes, peaking at #2713. Below is the 30-day activity profile:

💡 Overview

llm-d-inference-sim is an open-source project written in Go: A lightweight, configurable, and real-time simulator designed to mimic the behavior of vLLM without the need for GPUs or running actual heavy models.

Engineered for speed, consistency, and developer ease, it solves common hurdles in incubating. 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 Go 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

terminal

$ go install github.com/llm-d/llm-d-inference-sim@latest

$ go install github.com/llm-d/llm-d-inference-sim@latest

> go install github.com/llm-d/llm-d-inference-sim@latest

⚙ System Requirements

Platforms

• macOS
• Linux
• Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

llm-d-inference-sim coordinates its core functionality through a modular Go 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 llm-d-inference-sim into Go 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 Apache-2.0 license.

🚀 Getting Started

Install llm-d-inference-sim using your package manager: `go install github.com/llm-d/llm-d-inference-sim@latest`

Initialize your project workspace or configuration file for llm-d-inference-sim.

Import llm-d-inference-sim into your codebase or invoke it directly from your terminal.

Execute your test suite or run `llm-d-inference-sim --help` to verify successful setup.

👍 Strengths

Active community backing with 208 GitHub stars and verified adoption.

Permissive open-source distribution under the Apache-2.0 license.

Built in Go 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 Go 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

avelino/awesome-go ★ 187.2K Go

A curated list of awesome Go frameworks, libraries and software

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Production-Grade Container Scheduling and Management

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👥 Who Should Use This

Developers and engineering teams building with Go, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

llm-d/llm-d-inference-sim is currently ranked #12,669 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

Rank	Repository	Language	Stars	Action
#12,655	succinctlabs/op-succinct	Rust	★ 215	Compare ↗
#12,655	bugsfreeweb/LiveTVCollector	Python	★ 215	Compare ↗
#12,655	Chain-Love/chain-love	Python	★ 215	Compare ↗
#12,655	Helweg/open-codebase-index	TypeScript	★ 215	Compare ↗
#12,655	ClawLabsAI/free-ai-models	JavaScript	★ 215	Compare ↗
#12,669	llm-d/llm-d-inference-sim This Project	Go	★ 214
#12,669	jstrait/wavefile	Ruby	★ 214	Compare ↗
#12,669	troglobit/pimd	C	★ 214	Compare ↗
#12,669	ckruse/CFPropertyList	Ruby	★ 214	Compare ↗
#12,669	pulse00/Symfony-2-Eclipse-Plugin	Java	★ 214	Compare ↗
#12,669	apache/commons-configuration	Java	★ 214	Compare ↗

Frequently Asked Questions

What does llm-d-inference-sim do? +

A lightweight, configurable, and real-time simulator designed to mimic the behavior of vLLM without the need for GPUs or running actual heavy models.

What language is llm-d-inference-sim written in? +

The primary language is Go. Topics include: incubating.

Is llm-d-inference-sim actively maintained? +

Yes, the last recorded push was on Oct 14, 2026 with 16 open issues being tracked.

How many stars does llm-d-inference-sim have? +

llm-d-inference-sim has 214 stars and 165 forks on GitHub.

How does llm-d-inference-sim rank among GitHub repositories? +

With 214 stars, llm-d/llm-d-inference-sim is ranked #12,669 globally across all repositories tracked on GitHubRepo and #1,372 among Go projects.

What license is llm-d-inference-sim distributed under? +

The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.

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LinkedIn

Why llm-d-inference-sim is replacing paid subscriptions for engineering teams

Stop paying $50+/month for locked SaaS tools.

Over 214 developers have starred llm-d/llm-d-inference-sim, an impressive Go open-source project designed to A lightweight, configurable, and real-time simulator designed to mimic the behavior of vLLM without the need for GPUs or running actual heavy models.

Key Engineering Advantages:
• 100% Local-First: Complete data privacy with zero tracking or telemetry.
• Zero Subscription Costs: No paywalls, per-seat fees, or API markups.
• Complete Customization: Native open-source architecture you can fork, inspect, and deploy anywhere.
• Proven Adoption: 214 GitHub stars and 165 forks.

If you're looking to streamline your engineering workflows without ballooning software expenses, this is worth checking out.

👉 Full star velocity and architectural report: https://githubrepo.cloud/repo/llm-d/llm-d-inference-sim
⭐ GitHub Repository: https://github.com/llm-d/llm-d-inference-sim

#OpenSource #SoftwareEngineering #DeveloperTools #Tech #Programming #Go

🤖

Reddit (r/opensource, r/webdev, r/selfhosted)

Show r/opensource: llm-d-inference-sim – A free, self-hosted tool that lets you A lightweight, configurable, and real-time simulator designed to mimic the behavior of vLLM without the need for GPUs or running actual heavy models

Hey everyone,

I wanted to share an interesting open-source project called **llm-d-inference-sim** (https://github.com/llm-d/llm-d-inference-sim) that has been picking up heavy momentum lately (214 stars).

### What problem does it solve?
Many existing tools in this domain require expensive cloud plans or store your data on third-party servers. llm-d-inference-sim was built with a local-first philosophy, allowing developers to A lightweight, configurable, and real-time simulator designed to mimic the behavior of vLLM without the need for GPUs or running actual heavy models without recurring subscription costs or privacy compromises.

### Tech Stack & Details:
- **Language:** Go
- **License:** Apache-2.0
- **GitHub:** [llm-d/llm-d-inference-sim](https://github.com/llm-d/llm-d-inference-sim)
- **Live Star Momentum Tracker:** [https://githubrepo.cloud/repo/llm-d/llm-d-inference-sim](https://githubrepo.cloud/repo/llm-d/llm-d-inference-sim)

Has anyone here tested this in production or integrated it into existing pipelines? Would love to hear your experience and feedback!

🟧

Hacker News (Show HN)

Show HN: llm-d-inference-sim – A lightweight, configurable, and real-time simulator designed to mi...

Hi HN,

llm-d-inference-sim is an open-source Go project designed to A lightweight, configurable, and real-time simulator designed to mimic the behavior of vLLM without the need for GPUs or running actual heavy models.

Rather than relying on closed cloud endpoints, it executes locally on your own machine, providing predictable latency, total privacy, and full control.

Repository: https://github.com/llm-d/llm-d-inference-sim
Documentation & Metrics: https://githubrepo.cloud/repo/llm-d/llm-d-inference-sim

Feedback and PRs are welcome.

✍️

Dev.to / Hashnode Tags: opensource, go, devtools, webdev

This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet llm-d-inference-sim (214 GitHub Stars)

---
title: This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet llm-d-inference-sim
published: true
tags: opensource, go, devtools, programming
---

## Stop Paying Software Subscriptions For This

Finding high-quality, production-ready open source alternatives to expensive proprietary software can save engineering teams thousands of dollars every year.

Today, we're looking at **[llm-d/llm-d-inference-sim](https://github.com/llm-d/llm-d-inference-sim)**, a rapidly rising repository with **214 GitHub stars** and **165 forks**.

### What is llm-d-inference-sim?

> A lightweight, configurable, and real-time simulator designed to mimic the behavior of vLLM without the need for GPUs or running actual heavy models

Written in **Go**, llm-d-inference-sim runs directly on your local workstation or private server, keeping your data secure and eliminating recurring license fees.

### Key Highlights
- **High Performance:** Lightweight, reliable, and built in Go.
- **Privacy & Security:** Complete ownership of your environment and data.
- **Growing Momentum:** Ranked **#12,669** globally across tracked repositories on [GitHubRepo](https://githubrepo.cloud/repo/llm-d/llm-d-inference-sim).

### Quick Start
To get started locally:

```bash
git clone https://github.com/llm-d/llm-d-inference-sim.git
cd llm-d-inference-sim
```

Check out the full repository and star history analytics here:
- **GitHub:** [llm-d/llm-d-inference-sim](https://github.com/llm-d/llm-d-inference-sim)
- **Star Velocity Tracker:** [llm-d-inference-sim on GitHubRepo.cloud](https://githubrepo.cloud/repo/llm-d/llm-d-inference-sim)

𝕏

X / Twitter Communities

Thread / Community Post for llm-d-inference-sim

Developers are sleeping on this GitHub repo 👇

llm-d/llm-d-inference-sim (214 ⭐) replaces expensive monthly software subscriptions with 100% free open source code.

⚡ What it does: A lightweight, configurable, and real-time simulator designed to mimic the behavior of vLLM without the need for GPUs or running actual heavy models
💻 Built with: Go
🔒 100% local execution & privacy

Check live star velocity and benchmarks:
https://githubrepo.cloud/repo/llm-d/llm-d-inference-sim

#opensource #developer #coding #tech #programming

🧵

Threads Topics

Topic Discussion: Open Source & Developer Tools

This GitHub repo replaces a $50/month tool! 🚀

If you want to save hours of manual work and stop paying subscriptions, check out llm-d/llm-d-inference-sim.

It already has over 214 stars and lets you A lightweight, configurable, and real-time simulator designed to mimic the behavior of vLLM without the need for GPUs or running actual heavy models.

Drop a comment if you've tried it, or check the full star momentum report:
https://githubrepo.cloud/repo/llm-d/llm-d-inference-sim

From our network

llm-d/llm-d-inference-sim

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💡 Overview

⚡ Key Features

📥 Installation

⚙ System Requirements

Platforms

Runtime & Dependencies

Architecture

🧠 How It Works

🎯 Production Use Cases

Production System Integration

CI/CD Automated Pipelines

Developer Tooling & Workflows

Open Source Extension

🚀 Getting Started

👍 Strengths

⚠️ Considerations

⇄ Alternatives & Direct Competitors

👥 Who Should Use This

🏆 Nearby in the Rankings

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