Star History
Momentum
+2.4K
STARS · LAST 30 DAYS
81
PER DAY
#23
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +567 | +2.4K | +7.3K |
| Per day | 81 | 81 | 81 |
| Forks gained | +71 | +282 | +706 |
Deep-Live-Cam gained 2.4K stars in the last 30 days, about 81 a day, and now has 96.8K. It is about 3 years old and has averaged roughly 32.3K stars a year. It ranks #23 among Python repositories and #84 across all languages on GitHubRepo.
Trending Record
6
DAYS ON TRENDING
#78
BEST RANK
Sep 23, 2026
FIRST APPEARANCE
Active
STATUS TODAY
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
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 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
Install Deep-Live-Cam using your package manager: `pip install Deep-Live-Cam`
Initialize your project workspace or configuration file for Deep-Live-Cam.
Import Deep-Live-Cam into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Deep-Live-Cam --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
hacksider/Deep-Live-Cam is currently ranked #84 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #79 | ant-design/ant-design | TypeScript | ★ 99.6K | Compare ↗ |
| #80 | mui/material-ui | JavaScript | ★ 99.1K | Compare ↗ |
| #81 | nexu-io/open-design | TypeScript | ★ 98.4K | Compare ↗ |
| #82 | nvbn/thefuck | Python | ★ 97.9K | Compare ↗ |
| #83 | tailwindlabs/tailwindcss | TypeScript | ★ 97.7K | Compare ↗ |
| #84 | hacksider/Deep-Live-Cam This Project | Python | ★ 96.8K | |
| #85 | microsoft/playwright | TypeScript | ★ 96.7K | Compare ↗ |
| #86 | puppeteer/puppeteer | TypeScript | ★ 95.6K | Compare ↗ |
| #87 | punkpeye/awesome-mcp-servers | — | ★ 95.6K | Compare ↗ |
| #88 | ruvnet/RuView | Rust | ★ 95.2K | Compare ↗ |
| #89 | thedotmack/claude-mem | TypeScript | ★ 94.7K | Compare ↗ |
Frequently Asked Questions
What does Deep-Live-Cam do? +
real time face swap and one-click video deepfake with only a single image
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.
Is Deep-Live-Cam actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 48 open issues being tracked.
How many stars does Deep-Live-Cam have? +
Deep-Live-Cam has 96,838 stars and 14,121 forks on GitHub.
How does Deep-Live-Cam rank among GitHub repositories? +
With 96,838 stars, hacksider/Deep-Live-Cam is ranked #84 globally across all repositories tracked on GitHubRepo and #23 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.
