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The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Jupyter Notebook ◇ developer-tools Apache-2.0
★19.9KSTARS
⑂2.6KFORKS
!488ISSUES
🏆#438GLOBAL RANK
🔥6DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for facebookresearch/sam2
CSV

Momentum

+498

STARS · LAST 30 DAYS

17

PER DAY

#5

MOST-STARRED Jupyter Notebook

Window7 days30 days90 days
Stars gained+119+498+1.5K
Per day171717
Forks gained+13+51+128

sam2 gained 498 stars in the last 30 days, about 17 a day, and now has 19.9K. It is about 2 years old and has averaged roughly 10K stars a year. It ranks #5 among Jupyter Notebook repositories and #438 across all languages on GitHubRepo.

Trending Record

sam2 has maintained a continuous presence across global trending indexes, peaking at #250. Below is the 30-day activity profile:

💡 Overview

sam2 is an open-source project written in Jupyter Notebook: The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Engineered for speed, consistency, and developer ease, it solves common hurdles in Jupyter Notebook. 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 Jupyter Notebook 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/facebookresearch/sam2.git
cd sam2

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Jupyter Notebook environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

sam2 coordinates its core functionality through a modular Jupyter Notebook 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 sam2 into Jupyter Notebook 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 sam2 using your package manager: `git clone https://github.com/facebookresearch/sam2.git`

2

Initialize your project workspace or configuration file for sam2.

3

Import sam2 into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `sam2 --help` to verify successful setup.

👍 Strengths

Active community backing with 19,917 GitHub stars and verified adoption.
Permissive open-source distribution under the Apache-2.0 license.
Built in Jupyter Notebook 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 Jupyter Notebook 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.

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👥 Who Should Use This

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

🏆 Nearby in the Rankings

facebookresearch/sam2 is currently ranked #438 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#433 grpc-ecosystem/grpc-gateway Go ★ 20K Compare ↗
#434 0x192/universal-android-debloater Rust ★ 20K Compare ↗
#435 Alibaba-NLP/DeepResearch Python ★ 20K Compare ↗
#436 tipsy/profile-summary-for-github Vue ★ 19.9K Compare ↗
#437 11ty/buildawesome JavaScript ★ 19.9K Compare ↗
#438 facebookresearch/sam2 This Project Jupyter Notebook ★ 19.9K
#439 Atmosphere-NX/Atmosphere C++ ★ 19.9K Compare ↗
#440 ReactiveX/RxAndroid Java ★ 19.9K Compare ↗
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Frequently Asked Questions

What does sam2 do? +

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

What language is sam2 written in? +

The primary language is Jupyter Notebook. Topics include: software.

Is sam2 actively maintained? +

Yes, the last recorded push was on May 30, 2026 with 488 open issues being tracked.

How many stars does sam2 have? +

sam2 has 19,928 stars and 2,555 forks on GitHub.

How does sam2 rank among GitHub repositories? +

With 19,928 stars, facebookresearch/sam2 is ranked #438 globally across all repositories tracked on GitHubRepo and #5 among Jupyter Notebook projects.

What license is sam2 distributed under? +

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

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