Factual package intelligence from PyPI

inference-gpu 1.3.5 package intelligence

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-gpu

Current version
1.3.5
Python requirement
<3.13,>=3.10
License
Apache Software License
Distribution type
Pure Python wheel
Release files
1 (1 wheels, 0 source)
Download size
3.4 MiB
Release history
216 releases with files
Median release cadence
4 days

inference-gpu dependencies

PyPI declares 103 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. aiortc >=1.9.0
  2. av ==14.2.0
  3. APScheduler <4.0.0,>=3.10.1
  4. asyncua ~=1.1.5
  5. cachetools <6.0.0
  6. cython ~=3.0.0
  7. python-dotenv ~=1.0.0
  8. tzdata >=2024.1
  9. fastapi <0.116,>=0.100
  10. numpy <2.4.0,>=2.0.0
  11. opencv-python <=4.10.0.84,>=4.8.1.78
  12. opencv-contrib-python <=4.10.0.84,>=4.8.1.78

The compact report shows 12 of 103 declarations. The interactive dependency graph loads the complete metadata.

Compatibility and release files

inference-gpu publishes 1 wheel and 0 source archives for version 1.3.5. Wheel platform tags: any.

No version-specific Python classifiers are declared.

Security snapshot for inference-gpu 1.3.5

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

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.