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Pipeless - Computer Vision Framework
Easily create and deploy computer vision applications in minutes
FreeOpen SourceAICode11,139 impressions#7 of its week1 comment
Comments
>log in to commentHi! I strongly think (and hope) Pipeless can help you saving a ton of time when working with computer vision. Feedback is really appreciated!
Pipeless is an open-source framework to build and deploy computer-vision apps with function-based code in minutes.
- for
- Developers building vision apps for edge, IoT or cloud environments
- pricing
- freemium
- license
- Apache-2.0
Key features
- Function-oriented development — Write self-contained Python/Rust functions that process frames, Pipeless handles execution.
- Multi-stream support — Process any number of video streams concurrently with lightweight management.
- Dynamic stream management — Add, edit or remove streams via CLI or REST API on the fly.
- Automatic inference integration — Built-in support for ONNX Runtime, OpenVINO, CoreML, CUDA, TensorRT, etc.
- Real-time parallel execution — Pipeless parallelizes processing to achieve lightning-fast inference.
- Edge-to-cloud deployment — Run applications on embedded devices, edge servers or cloud without internet.
Use cases
- Real-time object detection and tracking for surveillance cameras
- Pose estimation for interactive fitness or gaming applications
- Automated video analytics pipelines that trigger actions via REST API
Pipeless - Computer Vision Framework vs alternatives
.png?width=64) Pipeless - Computer Vision Framework |  imgproxy | |
|---|---|---|
| Best for | Function-based CV pipelines | Standalone image manipulation |
| Pricing | Freemium | Free |
| DevHunt upvotes | 9 | 95 |
| Launched | Jan 2024 | Feb 2024 |
- Pipeless - Computer Vision Framework vs imgproxy: Self-hosted image processing service, not a full CV app framework
Pipeless - Computer Vision Framework FAQ
Is Pipeless open source?+
Yes, Pipeless is an open-source project that can be customized and run on your own infrastructure.
Can I run Pipeless on edge devices without internet?+
Yes, Pipeless can be deployed to edge or IoT devices and works offline.
How do I add or remove video streams?+
Streams can be added, edited, or removed dynamically via a CLI command or an HTTP request.
What inference runtimes are supported?+
Pipeless integrates with ONNX Runtime, OpenVINO, CoreML, CUDA, TensorRT and others.
Summarized by DevHunt from pipeless.ai · Sep 28, 2026. Details may change; check the official site.
