

Pipeless is an open-source framework designed to manage the technical requirements of computer vision, including memory management, code parallelization, and multimedia pipelines. Developers write self-contained functions that the framework executes based on frame events.
The tool is intended for developers and enterprise teams moving vision models into production. It supports multiple inference runtimes and can process various stream protocols for different deployment targets, including edge devices and the cloud.
Buyers should confirm if they have the development capacity to utilize the framework's Python and Rust support, as the tool is designed for technical users who can integrate their own models into the Pipeless workflow.
Supports processing of multiple video streams using protocols such as RTSP, RTMP, HTTP, and files.
Integrates with runtimes including ONNX Runtime, OpenVINO, CoreML, CUDA, and TensorRT.
Supports adding, editing, or removing streams via a CLI or REST API.
Supports application code written in Python and Rust.
Designed to run on cloud infrastructure, IoT devices, or edge hardware, including environments without an internet connection.
Handles parallel execution of code to support video analysis in real time.
Locating and identifying elements within a video stream for security or monitoring purposes.
Using pose estimation to identify and track body joints for human-computer interaction.
Deploying computer vision models on IoT or edge devices for local processing.
Enterprise pricing starts at $30 per camera or stream monthly.
Pipeless is a framework that handles technical infrastructure for computer vision apps, including memory management, code parallelization, and multimedia pipelines.
Applications can be deployed to the cloud, IoT devices, or edge devices, and may operate without an internet connection.
Enterprise pricing starts at $30 per camera or stream monthly.
Source category: Software Development
Source subcategory: Computer Vision
Pipeless is an open-source computer vision framework for developers that supports video analysis and multimedia pipeline management. It is designed for software and enterprise companies to deploy vision apps across cloud, IoT, and edge devices. An enterprise tier is available for a monthly fee per stream.