libreyolo

Monthly downloads

7.3K

Weekly downloads

2.1K

GitHub stars

880

Downloads in the 30 and 7 days to October 10, 2026. Refreshed weekly.

Package Information

Latest Version

1.6.0

Requires Python

>=3.10

Licence

MIT

Last Release

2 weeks ago

Author

LibreYOLO Team

First Release

December 21, 2025

Total Releases

Python Versions

No reported malware or high/critical advisories · Details

The current version has no OSV.dev malware reports and no critical or high-severity vulnerabilities.

Package Insights

What's this?

Downloads by OS

Linux 81

Windows 8

macOS 5

Python Versions

3.12

45.7% 42

3.13

20.7% 19

3.10

13.0% 12

3.11

10.9% 10

3.14

9.8% 9

Top Countries

10.

Weekly Downloads

Last 7 days

2,110

Last 30 days

7,297

Peak week (to 2026-10-03)

2,337

2026-09-25 – 2026-10-10. Enable JavaScript for the interactive chart.

GitHub Stars

Current

880

Earliest (2026-09-26)

687

Change

+193

2026-09-26 – 2026-10-11. Enable JavaScript for the interactive chart.

Dependencies

click >=8.0.0
cloudpickle >=3.0.0
mss >=9.0.1
numpy >=1.19.0
opencv-python >=4.11.0.86
pillow >=9.1.0
pycocotools >=2.0.0
pyyaml >=6.0
requests >=2.25.0
safetensors >=0.4.0
scipy >=1.7.0
torch >=2.4.0
torchvision >=0.19.0
tqdm >=4.65.0
typer >=0.9.0

84 optional dependencies

accelerate>=0.26.0[molmo2]
extra == "molmo2"
accelerate>=1.7.0[sensenova]
extra == "sensenova"
accelerate==1.13.0[marigold]
extra == "marigold"
accelerate>=1.7.0[modus]
extra == "modus"
ai-edge-litert>=2.1.2[tflite]
python_version >= "3.12" and extra == "tflite"
bitsandbytes==0.49.2[marigold]
(platform_system == "Linux" or platform_system == "Windows") and extra == "marigold"
bitsandbytes>=0.45.0[sensenova]
sys_platform != "darwin" and extra == "sensenova"
clearml>=1.17.0[clearml]
extra == "clearml"
comet-ml>=3.47.1[comet]
extra == "comet"
coreai-torch>=0.4.1[coreai]
sys_platform == "darwin" and extra == "coreai"
coremltools>=8.0[coreml]
extra == "coreml"
decord==0.6.0[vlm]
extra == "vlm"
diffusers==0.38.0[marigold]
extra == "marigold"
dvclive>=3.49.0[dvclive]
extra == "dvclive"
einops>=0.8.0[molmo2]
extra == "molmo2"
executorch[executorch]
extra == "executorch"
faster-coco-eval>=1.7.0[fast-eval]
extra == "fast-eval"
fiftyone>=1.0.0[fiftyone]
extra == "fiftyone"
ftfy>=6.0.0[openvocab]
extra == "openvocab"
ftfy>=6.0.0[clip]
extra == "clip"
gdown>=5.1.0[gaze]
extra == "gaze"
graphql-core<3.3[fiftyone]
extra == "fiftyone"
huggingface-hub>=1.0.0[hf]
extra == "hf"
kernels>=0.6.0[hub-kernels]
extra == "hub-kernels"
lerobot>=0.6.1[vla]
python_version >= "3.12" and extra == "vla"
libreyolo[mnn]
extra == "mnn"
libreyolo[vlm-train]
extra == "vlm-train"
libreyolo[lora]
extra == "lora"
libreyolo[litert]
extra == "litert"
libreyolo[label]
extra == "label"
libreyolo[ground]
extra == "ground"
libreyolo[dvc]
extra == "dvc"
libreyolo[clip-convert]
extra == "clip-convert"
libreyolo[all]
extra == "all"
libreyolo[siglip2-convert]
extra == "siglip2-convert"
libreyolo[paddle]
extra == "paddle"
libreyolo[tflite]
extra == "tflite"
lmdb>=1.7.0[vlm]
extra == "vlm"
matplotlib>=3.7.0[plots]
extra == "plots"
mlflow>=2.9.0[mlflow]
extra == "mlflow"
mnn>=3.6.1[mnn]
extra == "mnn"
ncnn[ncnn]
extra == "ncnn"
neptune-scale>=0.30.0[neptune]
extra == "neptune"
num2words>=0.5.0[vlm]
extra == "vlm"
onnx<1.18,>=1.14.0[paddle]
extra == "paddle"
onnx>=1.14.0[onnx]
extra == "onnx"
onnx-graphsurgeon>=0.3.27[tflite]
extra == "tflite"
onnx-simplifier>=0.4.36[tflite]
extra == "tflite"
onnx2tf>=2.4.3[tflite]
python_version >= "3.12" and extra == "tflite"
onnxruntime>=1.18.0[onnx]
extra == "onnx"
onnxsim>=0.4.0[onnx]
extra == "onnx"
open-clip-torch>=2.24.0[clip-convert]
extra == "clip-convert"
openai>=1.66.0[llm]
extra == "llm"
openvino>=2024.0.0[openvino]
extra == "openvino"
paddlepaddle==2.6.2[paddle]
extra == "paddle"
peft>=0.12.0[lora]
extra == "lora"
peft>=0.12.0[vlm]
extra == "vlm"
peft>=0.17.0[vlm-train]
extra == "vlm-train"
peft==0.18.1[marigold]
extra == "marigold"
pnnx[ncnn]
extra == "ncnn"
pycuda>=2022.1[tensorrt]
sys_platform != "darwin" and extra == "tensorrt"
regex>=2023.0.0[openvocab]
extra == "openvocab"
regex>=2023.0.0[clip]
extra == "clip"
sentencepiece>=0.1.99[siglip2]
extra == "siglip2"
six>=1.16.0[paddle]
extra == "paddle"
tensorboard>=2.13.0[tensorboard]
extra == "tensorboard"
tensorrt-cu12==10.16.1.11[tensorrt]
sys_platform != "darwin" and extra == "tensorrt"
timm>=1.0.23[sam]
extra == "sam"
timm<1.1,>=1.0.28[midas]
extra == "midas"
timm>=1.0.0[openvocab]
extra == "openvocab"
transformers==5.4.0[marigold]
extra == "marigold"
transformers>=5.1.0[modus]
extra == "modus"
transformers==4.57.1[molmo2]
extra == "molmo2"
transformers>=5.1.0[openvocab]
extra == "openvocab"
transformers>=5.1.0[rfdetr]
extra == "rfdetr"
transformers>=5.3.0[sam]
extra == "sam"
transformers>=5.1.0[sensenova]
extra == "sensenova"
transformers>=5.1.0[siglip2-convert]
extra == "siglip2-convert"
transformers>=5.1.0[vlm]
extra == "vlm"
transformers>=5.1.0[eomt]
extra == "eomt"
tritonclient>=2.40.0[triton]
extra == "triton"
wandb>=0.16.0[wandb]
extra == "wandb"
x2paddle==1.6.0[paddle]
extra == "paddle"
yt-dlp[stream]
extra == "stream"

Used By

Not used by any tracked packages

Repository details

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Last Commit

2 weeks ago

Contributors

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Archived

GitHub Topics

Computer Vision Deep Learning Edge Ai Instance Segmentation Mit License Object Detection Onnx Pose Estimation Python Pytorch Rf Detr Rt Detr Yolo Yolov9 Yolox Ultralytics Alternative

Data and sources

Tracking Since

September 26, 2026

Data Updated

October 11, 2026

Data Freshness

Fresh

Keywords

yolo object-detection computer-vision pytorch deep-learning instance-segmentation pose-estimation rf-detr rt-detr yolov9 yolox onnx mit-license

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