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Model components / Inference code

FastDeploy

PaddlePaddle

FastDeploy is an inference and deployment toolkit for large language models and vision language models built on PaddlePaddle, shipping out-of-the-box deployment paths for production serving.

The `fastdeploy-python` package on PyPI resolves to this repository but drew 323 downloads in the trailing 30 days, so it measures a minority channel and is not declared. Verified 2026-08-31 via GitHub, the LICENSE body and the repository README.

Openness

5 medium confidence
5.0
license
Apache-2.0(OSI)
source
public(the published repository is the engine)
core-gated
ungated(no enterprise path in the repository root and no paid build of the engine in the README)

The LICENSE body is the Apache-2.0 text, read in full rather than taken from the API's label, and carries no appended condition. The repository is public and unarchived and builds the engine itself. Its root tree carries no enterprise, ee or commercial directory and its README describes no licence-gated build, so the core reads as ungated. Confidence is medium because that is a repository-and-README read rather than a pricing-page read.

Adoption

2 low confidence
2.0

3,711 GitHub stars, which lands in the 1K-10K stars band of the stars scale, where the scale caps at 3. No package artifact is declared for this record, so stars are the only instrument available and the band should be read as a floor.

Capability

4 medium confidence
4.0

One band below the vllm anchor. It serves both language and vision language models, but within one framework's ecosystem rather than across the model and hardware breadth the anchor is banded on.

Verified 2026-08-31