Package · PyPI

getitune

PyPI · v0.3.0 · Apache-2.0

getitune: Train, Evaluate, Optimize, Deploy Computer Vision Models

Install

pip install getitune

Adoption

Adoption
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Popularity
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Dependents
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Maintenance
0.88
DerivedRelease cadence and recency, 0 to 1
Releases per year
16
4 versions over its life

Growth by period

PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.

7 days
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30 days
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90 days
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1 year
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Adoption history

Adoption history

PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.

Facts from the registry

Latest version
v0.3.0
4 versions
First published
JUN 18, 2026
Last release
SEP 15, 2026
41d ago
Licence
Apache-2.0

Repository

In the Crest catalog

open-edge-platform/geti

Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).

Stars
1.3K
Forks
480
Language
Python
Last push
24d ago
Last release
41d ago

Linked by the package’s own registry metadata.GitHub (opens in a new tab)

Dependencies latest version · v0.3.0

Runtime 30

  • certifi>=2026
  • datumaro~=1.13.11
  • docstring_parser==0.16
  • einops==0.8.1
  • ftfy==6.3.1
  • importlib_resources==6.5.2
  • jsonargparse==4.35.0
  • kornia~=0.8.2
  • lightning==2.6.0
  • nncf~=3.0
  • numpy>=2.0
  • omegaconf==2.3.0
  • onnx==1.22.0
  • onnxruntime==1.26.0
  • onnxscript==0.6.2
  • onnxslim~=0.1.71
  • openvino~=2026.3.0
  • openvino-model-api==0.4.7
  • pytorchcv==0.0.74
  • pyyaml==6.0.3
  • regex==2026.1.15
  • rfdetr==1.8.0
  • rich==14.0.0
  • rich_argparse==1.7.0
  • roboflow~=1.2
  • tensorboard==2.20.0
  • tensorboardx==2.6.4
  • timm==1.0.29
  • torchmetrics==1.8.2
  • typeguard<4.5,>=4.3

Related news

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