lillyguisnet/sam3-segmentation
Agent skill: outline, mask and count objects in photos with Meta's SAM 3 on your own NVIDIA GPU, with review, exports and a viewer. Works with Claude Code, Codex, Cursor, Pi and other Agent Skills clients.
⚡ Executive Summary & Quick Facts
Authoritative Sourcesam3-segmentation is sam3-segmentation is an open-source project written in Python: Agent skill: outline, mask and count objects in photos with Meta's SAM 3 on your own NVIDIA GPU, with review, exports and a viewer. Works with Claude Code, Codex, Cursor, Pi and other Agent Skills clients.. It provides a free, self-hosted open-source alternative to Segment.
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), lillyguisnet/sam3-segmentation has accumulated 122 GitHub stars and 11 forks. It is written in Python, licensed under MIT, and ranks #21,008 globally. It is actively maintained with the latest commit recorded on Oct 24, 2026.”
| Repository | lillyguisnet/sam3-segmentation ↗ |
|---|---|
| Primary Category | agent skills |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 122 stars · ⑂ 11 forks · #21,008 globally |
| Maintenance | ● Active (Last commit: Oct 24, 2026) · 2 open issues |
| Replaces SaaS | Open Source Segment Alternative ($120+/month based on Monthly Tracked Users) → |
| 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, sam3-segmentation is actively maintained. Continuous telemetry recorded the last code commit on Oct 24, 2026 (9 days ago). Supported by 122 stars and 11 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
#2,762
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
sam3-segmentation gained 10 stars in the last 30 days, about 1 a day, and now has 122. It is about 1 year old and has averaged roughly 122 stars a year. It ranks #2,762 among Python repositories and #21,008 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#8173
BEST RANK
Nov 1, 2026
FIRST APPEARANCE
Active
STATUS TODAY
sam3-segmentation has maintained a continuous presence across global trending indexes, peaking at #8173. Below is the 30-day activity profile:
💡 Overview
sam3-segmentation is an open-source project written in Python: Agent skill: outline, mask and count objects in photos with Meta's SAM 3 on your own NVIDIA GPU, with review, exports and a viewer. Works with Claude Code, Codex, Cursor, Pi and other Agent Skills clients.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-skills, annotation, claude-code. 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 sam3-segmentation⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
sam3-segmentation 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 sam3-segmentation.
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 sam3-segmentation using your package manager: `pip install sam3-segmentation`
Initialize your project workspace or configuration file for sam3-segmentation.
Import sam3-segmentation into your codebase or invoke it directly from your terminal.
Execute your test suite or run `sam3-segmentation --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
lillyguisnet/sam3-segmentation is currently ranked #21,008 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #20,934 | Panchovix/nvidia-vbios-vix-editor | Python | ★ 123 | Compare ↗ |
| #20,934 | ShadowSwaps/REA-Reconstruction-Companion | JavaScript | ★ 123 | Compare ↗ |
| #20,934 | Wholiver/metis-reverse | Python | ★ 123 | Compare ↗ |
| #20,934 | ryan-bergio03h1/Instagram-View-Booster-Free-Reel-Story-Views-Tool-2026 | Python | ★ 123 | Compare ↗ |
| #20,934 | Jakeschincariol/console-skill | Python | ★ 123 | Compare ↗ |
| #21,008 | lillyguisnet/sam3-segmentation This Project | Python | ★ 122 | |
| #21,008 | vigetlabs/acts_as_markup | Ruby | ★ 122 | Compare ↗ |
| #21,008 | metajack/notify-webhook | Python | ★ 122 | Compare ↗ |
| #21,008 | darrellsilver/norc | Python | ★ 122 | Compare ↗ |
| #21,008 | froydnj/ironclad | Common Lisp | ★ 122 | Compare ↗ |
| #21,008 | DigitPaint/skyline | Ruby | ★ 122 | Compare ↗ |
Frequently Asked Questions
What does sam3-segmentation do? +
Agent skill: outline, mask and count objects in photos with Meta's SAM 3 on your own NVIDIA GPU, with review, exports and a viewer. Works with Claude Code, Codex, Cursor, Pi and other Agent Skills clients.
Is sam3-segmentation actively maintained in 2026? +
Yes, sam3-segmentation is actively maintained. The latest code push was recorded on Oct 24, 2026 (9 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 122 stars and 2 open issues.
What language is sam3-segmentation written in? +
The primary language is Python. Topics include: agent-skills, annotation, claude-code, claude-code-plugin, codex.
How many stars does sam3-segmentation have? +
sam3-segmentation has 122 stars and 11 forks on GitHub.
How does sam3-segmentation rank among GitHub repositories? +
With 122 stars, lillyguisnet/sam3-segmentation is ranked #21,008 globally across all repositories tracked on GitHubRepo and #2,762 among Python projects.
What license is sam3-segmentation distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
