Built something? We create video reels & spotlights for GitHub projects.Promote your project →
tenstorrent
Home / C++ / ttsim

tenstorrent/ttsim

A fast full-system simulator of Tenstorrent hardware

C++ ◇ developer-tools Apache-2.0
★159STARS
⑂15FORKS
!2ISSUES
🏆#5,661GLOBAL RANK
🔥4DAYS TRENDING
🚀
Maintainer Growth Kit for ttsim

Claim this project, add your verified backlink badge to your README, and download milestone cards.

Claim Repo

Star History

Continuous Observations
Interactive star growth chart for tenstorrent/ttsim
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#414

MOST-STARRED C++

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

ttsim gained 10 stars in the last 30 days, about 1 a day, and now has 159. It is about 1 year old and has averaged roughly 159 stars a year. It ranks #414 among C++ repositories and #5,661 across all languages on GitHubRepo.

Trending Record

ttsim has maintained a continuous presence across global trending indexes, peaking at #3128. Below is the 30-day activity profile:

💡 Overview

ttsim is an open-source project written in C++: A fast full-system simulator of Tenstorrent hardware.

Engineered for speed, consistency, and developer ease, it solves common hurdles in C++. 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 C++ 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
$ git clone https://github.com/tenstorrent/ttsim.git
cd ttsim

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C++20 compliant compiler (GCC 11+, Clang 13+, MSVC)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

ttsim coordinates its core functionality through a modular C++ 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 ttsim into C++ 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

1

Install ttsim using your package manager: `git clone https://github.com/tenstorrent/ttsim.git`

2

Initialize your project workspace or configuration file for ttsim.

3

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

4

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

👍 Strengths

Active community backing with 159 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in C++ 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 C++ 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 ★ 200.6K C++

An Open Source Machine Learning Framework for Everyone

Compare ↗
L
ggml-org/llama.cpp ★ 129.8K C++

LLM inference in C/C++

Compare ↗
R
react/react-native ★ 126.8K C++

A framework for building native applications using React

Compare ↗
T
microsoft/terminal ★ 105K C++

The new Windows Terminal and the original Windows console host, all in the same place!

Compare ↗

👥 Who Should Use This

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

🏆 Nearby in the Rankings

tenstorrent/ttsim is currently ranked #5,661 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#5,642 FranckyB/ComfyUI-Prompt-Manager JavaScript ★ 160 Compare ↗
#5,642 professor-lee/CNMPlayer Rust ★ 160 Compare ↗
#5,642 dartdavros/MarkMello C# ★ 160 Compare ↗
#5,642 maiphucgiang/codebuddy2api Python ★ 160 Compare ↗
#5,642 HuskerMinion/techo5 Go ★ 160 Compare ↗
#5,661 tenstorrent/ttsim This Project C++ ★ 159
#5,661 kematzy/sinatra-cache Ruby ★ 159 Compare ↗
#5,661 rizqme/chain.js JavaScript ★ 159 Compare ↗
#5,661 dustin/beanstalk-tools Ruby ★ 159 Compare ↗
#5,661 tylerhunt/remit Ruby ★ 159 Compare ↗
#5,661 ecamp/ecamp3 PHP ★ 159 Compare ↗

Frequently Asked Questions

What does ttsim do? +

A fast full-system simulator of Tenstorrent hardware

What language is ttsim written in? +

The primary language is C++. Topics include: software.

Is ttsim actively maintained? +

Yes, the last recorded push was on Sep 25, 2026 with 2 open issues being tracked.

How many stars does ttsim have? +

ttsim has 159 stars and 15 forks on GitHub.

How does ttsim rank among GitHub repositories? +

With 159 stars, tenstorrent/ttsim is ranked #5,661 globally across all repositories tracked on GitHubRepo and #414 among C++ projects.

What license is ttsim distributed under? +

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

From our network
FOR MAINTAINERS

Built something? Put it in front of millions of developers.

We make a short reel about your project and post it across YouTube, Instagram, Threads, and X. Send a link, we do the rest.