deep-live-cam vs dsh-desktop

Two of the top projects in Desktop AI apps, side by side: who leads on each score part and who each one suits, then setup, license, activity and what each review found.

33rd of 14 in Desktop AI apps

deep-live-cam

Real-time webcam face swap from a single source image

#44th of 14 in Desktop AI apps

dsh-desktop

Native Windows and macOS desktop client for DeepSeek Harness

Verdict

deep-live-cam ranks higher, 76 to 73. Of the 5 score parts we measure for both, deep-live-cam leads on 2, dsh-desktop on 1 and 2 are even.

  • Adoptiondeep-live-cam leads by 36 points, 98 to 62: a wide gap.
  • FreshnessEven at 100.
  • Maintenancedeep-live-cam leads by 2 points, 88 to 86: close to even.
  • Easy to runEven at 50.
  • Agent-readydsh-desktop leads by 70 points, 70 to 0: a wide gap.

Pick deep-live-cam if you are

Creators and streamers wanting local real-time face swapping on a webcam

  • Live webcam mode plus image and video file processing from one GUI
  • Execution providers for CPU, CUDA, CoreML, DirectML and OpenVINO

Pick dsh-desktop if you are

Windows and macOS users who want a packaged DeepSeek Harness app with plugins

  • Installers for Windows x64 and macOS Universal, no separate Node.js install
  • Runs a pinned, unmodified upstream DeepSeek Harness version
deep-live-cam vs dsh-desktop: score parts and facts
What we comparedeep-live-camdsh-desktop
Score parts, out of 100
Adoption98, widely used62, popular
Freshness100, active100, active
Maintenance88, healthy86, healthy
Easy to run50, easy50, easy
Agent-ready0, none70, partly
Facts from GitHub and the README
Stars97.2k32.1k
LicenseAGPL-3.0 (copyleft)MIT (permissive)
Last commitOct 2026Oct 2026
Last releaseSep 2026Oct 2026
LanguagePythonTypeScript
DockerNoNo
GPUOptionalNot stated
arm64 or Apple SiliconMentionedMentioned

deep-live-cam

Deep-Live-Cam is a Python desktop GUI that swaps a face from one source image onto a webcam feed, video or image, using ONNX models (inswapper_128_fp16, gfpgan-1024). It supports mouth masking, mapping different faces to multiple subjects, and CPU, CUDA, CoreML, DirectML and OpenVINO execution providers. A paid pre-built edition with extra features is sold on the project website.

Who it is for: Creators and streamers wanting local real-time face swapping on a webcam

Strengths

  • Live webcam mode plus image and video file processing from one GUI
  • Execution providers for CPU, CUDA, CoreML, DirectML and OpenVINO
  • Mouth mask and face mapping for multiple subjects in one frame
  • Needs only a single source image, no per-face training

Weaknesses

  • Manual install needs Python, ffmpeg, CUDA/cuDNN pinning; README says not for beginners
  • CPU-only mode is slower; live preview takes 10-30 seconds to appear
  • Command-line arguments are marked unmaintained in the README
  • insightface models are limited to non-commercial research use
  • GPU optional
  • Needs Python 3.11-3.14, ffmpeg, onnxruntime, CUDA Toolkit 12.8 (NVIDIA), tkinter, OBS (for streaming output)
  • Models: inswapper_128_fp16.onnx, gfpgan-1024.onnx, ONNX

dsh-desktop

DSH Desktop wraps the pinned, unmodified upstream DeepSeek Harness web UI, host service and plugin system in a native desktop app with window, tray, terminal and auto-update. The desktop shell is itself a DSH plugin, and the app includes a plugin market and phone remote control (iOS/Android, from 2.0.9). Installers cover Windows x64 and macOS Universal; no Node.js is needed.

Who it is for: Windows and macOS users who want a packaged DeepSeek Harness app with plugins

Strengths

  • Installers for Windows x64 and macOS Universal, no separate Node.js install
  • Runs a pinned, unmodified upstream DeepSeek Harness version
  • Built-in plugin market and desktop services for third-party plugins
  • Web service listens on loopback only by default

Weaknesses

  • No Linux build listed
  • LAN access option has no authentication, per the README
  • Tied to DeepSeek Harness; independent project, not affiliated with DeepSeek
  • README and docs are primarily in Chinese
  • Needs DeepSeek Harness (bundled, pinned)
  • Models: DeepSeek Harness models

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