Factual package intelligence from PyPI
With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
pip install inference
PyPI declares 102 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.9.0==14.2.0<4.0.0,>=3.10.1~=1.1.5<6.0.0~=3.0.0~=1.0.0>=2024.1<0.116,>=0.100<2.4.0,>=2.0.0<=4.10.0.84,>=4.8.1.78<=4.10.0.84,>=4.8.1.78<13.0.0,>=12.2.0<=6.0.0>=7.0.0~=5.0.0<3.0.0,>=2.33.0<15.0.0,>=13.0.0>=0.27.0~=1.0.0<=0.25.2,>=0.19.0~=1.0.0<=0.45.1,>=0.38.1>=70.0.0<4.0.0,>=3.0.0The compact report shows 25 of 102 declarations. The interactive dependency graph loads the complete metadata.
inference publishes 1 wheel and 0 source archives for version 1.3.5. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 216 releases with files. The first dated release is ; 81 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
37 historical releases are fully yanked in PyPI metadata.