{"data":{"slug":"pipeless-ai-pipeless","name":"pipeless","tagline":"An open-source computer vision framework to build and deploy apps in minutes","github_url":"https://github.com/pipeless-ai/pipeless","owner":"pipeless-ai","repo":"pipeless","owner_avatar_url":"https://avatars.githubusercontent.com/u/142428813?v=4","primary_language":"Rust","stars":849,"forks":52,"topics":["artificial-intelligence","cloud","computer-vision","deep-learning","ffmpeg","gstreamer","inference","inference-server","machine-learning","multimedia","multimedia-applications","object-detection","perception","pipeline-framework","python","stream-processing","video","video-processing","vision-framework","yolo"],"archived":false,"github_pushed_at":"2024-05-08T10:13:19+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/pipeless-ai-pipeless","markdown_url":"https://www.graphcanon.com/tools/pipeless-ai-pipeless.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/pipeless-ai-pipeless","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=pipeless-ai-pipeless","description":"An open-source computer vision framework to build and deploy apps in minutes","homepage_url":"https://pipeless.ai","license":"Apache-2.0","open_issues":17,"watchers":5,"ai_summary":null,"readme_excerpt":"## Requirements ☝️\n\n* **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 `--build` flag 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).\n* **Gstreamer 1.20.3**. Verify with `gst-launch-1.0 --gst-version`. Installation instructions [here](https://gstreamer.freedesktop.org/documentation/installing/index.html?gi-language=python)\n\n---\n\n## Installation 🛠️\n\n```console\ncurl https://raw.githubusercontent.com/pipeless-ai/pipeless/main/install.sh | bash\n```\n\nFind more information and installation options [here](https://www.pipeless.ai/docs/v1/getting-started/installation).\n\n---\n\n### Using docker\n\nInstead of installing locally, you can alternatively use docker and save the time of installing dependencies:\n\n```console\ndocker run miguelaeh/pipeless --help\n```\n\nTo use it with CUDA:\n\n```console\ndocker run miguelaeh/pipeless:latest-cuda --help\n```\n\nTo use with TensorRT use:\n\n```console\ndocker run miguelaeh/pipeless:latest-tensorrt --help\n```\n\nFind the whole container documentation [here](https://www.pipeless.ai/docs/v1/container).\n\n---\n\n## Getting Started 🚀\n\nInit a project:\n\n```console\npipeless init my_project --template scaffold\ncd my_project\n```\n\nStart Pipeless:\n\n```console\npipeless start --stages-dir .\n```\n\nProvide a stream:\n\n```console\npipeless add stream --input-uri \"https://pipeless-public.s3.eu-west-3.amazonaws.com/cats.mp4\" --output-uri \"screen\" --frame-path \"my-stage\"\n```\n\nThe code generated is an empty template that scafold a stage so it will do nothing. Please go to the [examples](https://www.pipeless.ai/docs/v1/examples) to complete that stage.\n\nYou can also use the interactive shell to create the project:\n\n\"Loading\n\nCheck the complete [getting started guide](https://pipeless.ai/docs/v1/getting-started) or plunge into the [complete documentation](https://www.pipeless.ai/docs).\n\n---\n\n## License 📄\n\nThis project is licensed under the [Apache License 2.0](LICENSE).\n\n---\n\n### Apache License 2.0 Summary\n\nThe 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.\n\nFor the full license text, please refer to the [Apache License 2.0](LICENSE).","github_created_at":"2023-07-21T17:22:24+00:00","created_at":"2026-07-15T11:19:25.802152+00:00","updated_at":"2026-07-15T11:19:29.431698+00:00","categories":[{"slug":"computer-vision","name":"Computer Vision","url":"https://www.graphcanon.com/categories/computer-vision","markdown_url":"https://www.graphcanon.com/categories/computer-vision.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/computer-vision"},{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"},{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"}],"tags":[{"slug":"artificial-intelligence","name":"artificial-intelligence"},{"slug":"cloud","name":"cloud"},{"slug":"computer-vision","name":"computer-vision"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"ffmpeg","name":"ffmpeg"},{"slug":"gstreamer","name":"gstreamer"},{"slug":"inference","name":"inference"},{"slug":"inference-server","name":"inference-server"}],"trust":{"provenance":{"is_fork":false,"github_id":669236595,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-15T11:19:27.439Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":798,"last_release_at":"2024-02-23T12:24:30Z"},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-15T11:19:27.872Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-15T11:19:27.207Z"},"languages":{"value":["rust"],"source":"github.language","observed_at":"2026-07-15T11:19:27.207Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-07-15T11:19:27.207Z"}}}}