Compare

imgproxy vs Pipeless - Computer Vision Framework

Self-hosted image processing service, not a full CV app framework

Side by side

What it is
imgproxy:imgproxy is a self-hosted image processing server that resizes, optimizes and transforms images on the fly.
Pipeless - Computer Vision Framework:Pipeless is an open-source framework to build and deploy computer-vision apps with function-based code in minutes.
Best for
imgproxy:On-premise, high-performance image processing
Pipeless - Computer Vision Framework:Function-based CV pipelines
Who it’s for
imgproxy:Web developers and DevOps teams needing fast, secure image handling on their own infrastructure.
Pipeless - Computer Vision Framework:Developers building vision apps for edge, IoT or cloud environments
Pricing
imgproxy:Freemium
Pipeless - Computer Vision Framework:Freemium
Open source
imgproxy:Yes, 11,098 GitHub stars
Pipeless - Computer Vision Framework:Yes, 853 GitHub stars
Works with
imgproxy:Docker, Linux packages, Amazon S3, MinIO, Cloudflare R2, Google Cloud Storage, Azure Blob Storage, Prometheus
Pipeless - Computer Vision Framework:Python, Rust, ONNX Runtime, OpenVINO, CoreML, CUDA, TensorRT
DevHunt upvotes
imgproxy:95
Pipeless - Computer Vision Framework:9
Launched on DevHunt
imgproxy:Feb 2024
Pipeless - Computer Vision Framework:Jan 2024

imgproxy features

  • On-the-fly resizing & cropping. Resize, crop, fill and rotate images via URL parameters without pre-generating variants.
  • Advanced optimization. Strip metadata, apply PNG quantization, advanced JPEG/WebP compression and SVG minification.
  • Smart AI features. Smart crop, object detection, auto-quality by file size or SSIM, and best-format selection.
  • Watermarking & filters. Add image or text watermarks, shadows, blurs, sharpening, color adjustments and gradients.
  • Security controls. URL signing, request authorization, image-bomb protection and SVG sanitization.
  • Extensive source support. Fetch images from HTTP(S), local files, S3, GCS, Azure Blob, MinIO, Cloudflare R2 and OpenStack Swift.

Pipeless - Computer Vision Framework 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.

Based on each tool's website and DevHunt data. Details may change; check the official sites.