OpenVINO
IntelOpenVINO is a toolkit for optimizing and deploying AI inference across computer vision, speech, NLP and generative AI. It converts models from PyTorch, TensorFlow and ONNX and deploys across x86 and Arm CPUs, Intel integrated and discrete GPUs and Intel NPUs, with a GenAI API for LLM pipelines. It is developed by Intel and integrates with Hugging Face Optimum Intel and vLLM.
Verified 2026-08-13 via GitHub and the LICENSE body.
Openness
5 high confidence- license
- Apache-2.0(OSI)
- source
- public
- core-gated
- ungated
Apache-2.0 license body confirmed; full source public. The repository is public and unarchived, and the README describes the whole library with no paid, enterprise or hosted tier beside it, so source is public and the core ungated. The README's only 'enterprise' string is inside a third-party LLMWare integration blurb rather than an OpenVINO tier.
- https://github.com/openvinotoolkit/openvino/blob/master/LICENSE recorded 2026-08-13
LICENSE file is the verbatim Apache License Version 2.0 text
- https://api.github.com/repos/openvinotoolkit/openvino recorded 2026-08-13
Repo metadata - license spdx_id Apache-2.0, private false, archived false, default branch master - for openvinotoolkit/openvino.
- https://raw.githubusercontent.com/openvinotoolkit/openvino/master/README.md recorded 2026-08-13
README describes the inference optimization and deployment toolkit and its distribution channels (PyPI, npm, conda-forge, Homebrew). Its only 'enterprise' string sits inside a third-party integration blurb for LLMWare, not an OpenVINO tier.
Adoption
4 high confidence1,869,817 PyPI downloads of `openvino` in the trailing 30 days, which falls in the 1M-10M a month band of the software usage scale, level 4. OpenVINO also ships through conda-forge, Homebrew, npm, Docker and Intel's own archives, none of them counted here, so 1.87M a month is a floor for that band rather than a full count of the product's distribution.
- https://pypistats.org/api/packages/openvino/recent recorded 2026-08-13
last_month downloads = 1,869,817 for openvino
Capability
4 high confidenceBroad inference runtime with model conversion and GenAI API, primarily Intel-hardware oriented.
- https://github.com/openvinotoolkit/openvino recorded 2026-08-13
README still describes inference optimization and deployment across Intel CPU, GPU and NPU with conversion from PyTorch, TensorFlow and ONNX
Verified 2026-08-13