pipeless
Enrichment pendingAn open-source computer vision framework to build and deploy apps in minutes
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Install
cargo add pipeless crates.ioSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
An open-source computer vision framework to build and deploy apps in minutes
Capability facts
- Languages
- rust
Source: github.language · Jul 15, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 15, 2026)
* **Python**. Pre-built binaries are linked to Python 3.10 in Linux amd64, 3.8 in Linux arSource link
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README
Requirements ☝️
- Python. Pre-built binaries are linked to Python 3.10 in Linux amd64, 3.8 in Linux arm64, and 3.12 in macOS. If you have a different Python version, provide the
--buildflag to the install script to build from source so Pipeless links to your installed Python version (or update your version and use a pre-built binary, which is simpler). - Gstreamer 1.20.3. Verify with
gst-launch-1.0 --gst-version. Installation instructions here
Installation 🛠️
curl https://raw.githubusercontent.com/pipeless-ai/pipeless/main/install.sh | bash
Find more information and installation options here.
Using docker
Instead of installing locally, you can alternatively use docker and save the time of installing dependencies:
docker run miguelaeh/pipeless --help
To use it with CUDA:
docker run miguelaeh/pipeless:latest-cuda --help
To use with TensorRT use:
docker run miguelaeh/pipeless:latest-tensorrt --help
Find the whole container documentation here.
Getting Started 🚀
Init a project:
pipeless init my_project --template scaffold
cd my_project
Start Pipeless:
pipeless start --stages-dir .
Provide a stream:
pipeless add stream --input-uri "https://pipeless-public.s3.eu-west-3.amazonaws.com/cats.mp4" --output-uri "screen" --frame-path "my-stage"
The code generated is an empty template that scafold a stage so it will do nothing. Please go to the examples to complete that stage.
You can also use the interactive shell to create the project:
Check the complete getting started guide or plunge into the complete documentation.
License 📄
This project is licensed under the Apache License 2.0.
Apache License 2.0 Summary
The Apache License 2.0 is a permissive open-source license that allows you to use, modify, and distribute this software for personal or commercial purposes. It comes with certain obligations, including providing attribution to the original authors and including the original license text in your distributions.
For the full license text, please refer to the Apache License 2.0.
For agents
This page has a .md twin and JSON over the API.