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hacksider/Deep-Live-Cam

real time face swap and one-click video deepfake with only a single image

Python ◇ ai AGPL-3.0
★97.5KSTARS
⑂14.2KFORKS
!54ISSUES
🏆#104GLOBAL RANK
🔥45DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

Deep-Live-Cam is Deep-Live-Cam is an open-source project written in Python: real time face swap and one-click video deepfake with only a single image..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), hacksider/Deep-Live-Cam has accumulated 97,460 GitHub stars and 14,207 forks. It is written in Python, licensed under AGPL-3.0, and ranks #104 globally. It is actively maintained with the latest commit recorded on Oct 27, 2026.”
Repository hacksider/Deep-Live-Cam ↗
Primary Category ai
Language & Stack Python
Software License AGPL-3.0
Community Traction ★ 97.5K stars · ⑂ 14.2K forks · #104 globally
Maintenance ● Active (Last commit: Oct 27, 2026) · 54 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: 95/100 · Grade A+
✅
Is Deep-Live-Cam actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, Deep-Live-Cam is actively maintained. Continuous telemetry recorded the last code commit on Oct 27, 2026 (17 days ago). Supported by 97,460 stars and 14,207 community forks, this repository holds a calculated health index of 95/100, reflecting regular maintenance (17 days ago) and healthy issue cadence.

Commit Recency
Oct 27, 2026
17 days since last push
Issue Backlog
54 Open Issues
Healthy Issue Cadence
Community Backing
14.2K Forks
97.5K Stars Recorded
Software License
AGPL-3.0
Permissive & Inspectable

Star History

Continuous Observations
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Momentum

+547

STARS · LAST 30 DAYS

18

PER DAY

#27

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+547+1.6K
Per day11818
Forks gained+0+74+710

Deep-Live-Cam gained 547 stars in the last 30 days, about 18 a day, and now has 97.5K. It is about 3 years old and has averaged roughly 32.5K stars a year. It ranks #27 among Python repositories and #104 across all languages on GitHubRepo.

Trending Record

Deep-Live-Cam has maintained a continuous presence across global trending indexes, peaking at #78. Below is the 30-day activity profile:

💡 Overview

Deep-Live-Cam is an open-source project written in Python: real time face swap and one-click video deepfake with only a single image.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, ai-deep-fake, ai-face. 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 Python 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
$ pip install Deep-Live-Cam

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

Deep-Live-Cam 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 Deep-Live-Cam.

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

1

Install Deep-Live-Cam using your package manager: `pip install Deep-Live-Cam`

2

Initialize your project workspace or configuration file for Deep-Live-Cam.

3

Import Deep-Live-Cam into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `Deep-Live-Cam --help` to verify successful setup.

👍 Strengths

Active community backing with 96,810 GitHub stars and verified adoption.
Permissive open-source distribution under the AGPL-3.0 license.
Built in Python 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 Python 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

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👥 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

hacksider/Deep-Live-Cam is currently ranked #104 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#99 microsoft/playwright TypeScript ★ 99.8K Compare ↗
#100 D4Vinci/Scrapling Python ★ 99.7K Compare ↗
#101 mui/material-ui JavaScript ★ 99.3K Compare ↗
#102 tailwindlabs/tailwindcss TypeScript ★ 98.1K Compare ↗
#103 nvbn/thefuck Python ★ 97.9K Compare ↗
#104 hacksider/Deep-Live-Cam This Project Python ★ 97.5K
#105 punkpeye/awesome-mcp-servers — ★ 97.1K Compare ↗
#106 OpenCut-app/OpenCut TypeScript ★ 96.9K Compare ↗
#107 3b1b/manim Python ★ 95.9K Compare ↗
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Frequently Asked Questions

What does Deep-Live-Cam do? +

real time face swap and one-click video deepfake with only a single image

Is Deep-Live-Cam actively maintained in 2026? +

Yes, Deep-Live-Cam is actively maintained. The latest code push was recorded on Oct 27, 2026 (17 days ago). It holds a calculated Maintenance Health Score of 95/100 (A+ rating) with 97,460 stars and 54 open issues.

What language is Deep-Live-Cam written in? +

The primary language is Python. Topics include: ai, ai-deep-fake, ai-face, ai-webcam, artificial-intelligence.

How many stars does Deep-Live-Cam have? +

Deep-Live-Cam has 97,460 stars and 14,207 forks on GitHub.

How does Deep-Live-Cam rank among GitHub repositories? +

With 97,460 stars, hacksider/Deep-Live-Cam is ranked #104 globally across all repositories tracked on GitHubRepo and #27 among Python projects.

What license is Deep-Live-Cam distributed under? +

The repository reports a AGPL-3.0 license. Always verify the repository LICENSE file for legal terms.

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