PyPI Stats

Search

All packages
Top packages

Track packages

inference


PyPI page
Home page
Author: Roboflow
Summary: 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.
Latest version: 0.44.0
Required dependencies: aiohttp | aiortc | anthropic | apscheduler | asyncua | backoff | boto3 | cachetools | cython | dataclasses-json | docker | fastapi | filelock | httpx | networkx | numpy | nvidia-ml-py | onnxruntime | openai | opencv-contrib-python | opencv-python | packaging | paho-mqtt | pandas | pillow | prometheus-fastapi-instrumentator | py-cpuinfo | pybase64 | pydantic | pydantic-settings | pydot | pylogix | pymodbus | pytest | python-dotenv | pyyaml | redis | requests | requests-toolbelt | rich | scikit-image | setuptools | shapely | slack-sdk | structlog | supervision | tldextract | tokenizers | tqdm | twilio | typer | typing_extensions | wheel | zxing-cpp
Optional dependencies: accelerate | asgi_correlation_id | bitsandbytes | dill | einops | elasticache_auto_discovery | fastapi-cprofile | mediapipe | metlo | orjson | peft | pymemcache | python-multipart | rasterio | rf-clip | rf-segment-anything | rf_groundingdino | samv2 | timm | torch | torchvision | transformers | ultralytics | uvicorn

Downloads last day: 926
Downloads last week: 14,987
Downloads last month: 48,587

09-3010-0710-1410-2110-2811-0411-1111-1811-2512-0212-0912-1612-2312-3001-0601-1301-2001-2702-0302-1002-1702-2403-0303-1003-1703-2401,0002,0003,000
With_MirrorsWithout_Mirrors30d60d90d120dallDaily Download Quantity of inference package - OverallDateDownloads
09-3010-0710-1410-2110-2811-0411-1111-1811-2512-0212-0912-1612-2312-3001-0601-1301-2001-2702-0302-1002-1702-2403-0303-1003-1703-2401,0002,0003,000
3Null30d60d90d120dallDaily Download Quantity of inference package - Python MajorDateDownloads
09-3010-0710-1410-2110-2811-0411-1111-1811-2512-0212-0912-1612-2312-3001-0601-1301-2001-2702-0302-1002-1702-2403-0303-1003-1703-240%20%40%60%80%100%
3Null30d60d90d120dallDaily Download Proportions of inference package - Python MajorDateDownload Proportion
09-3010-0710-1410-2110-2811-0411-1111-1811-2512-0212-0912-1612-2312-3001-0601-1301-2001-2702-0302-1002-1702-2403-0303-1003-1703-2405001,0001,5002,0002,500
3.103.113.123.133.143.53.73.83.9Null30d60d90d120dallDaily Download Quantity of inference package - Python MinorDateDownloads
09-3010-0710-1410-2110-2811-0411-1111-1811-2512-0212-0912-1612-2312-3001-0601-1301-2001-2702-0302-1002-1702-2403-0303-1003-1703-240%20%40%60%80%100%
3.103.113.123.133.143.53.73.83.9Null30d60d90d120dallDaily Download Proportions of inference package - Python MinorDateDownload Proportion
09-3010-0710-1410-2110-2811-0411-1111-1811-2512-0212-0912-1612-2312-3001-0601-1301-2001-2702-0302-1002-1702-2403-0303-1003-1703-2405001,0001,5002,0002,5003,000
DarwinLinuxWindowsNull30d60d90d120dallDaily Download Quantity of inference package - SystemDateDownloads
09-3010-0710-1410-2110-2811-0411-1111-1811-2512-0212-0912-1612-2312-3001-0601-1301-2001-2702-0302-1002-1702-2403-0303-1003-1703-240%20%40%60%80%100%
DarwinLinuxWindowsNull30d60d90d120dallDaily Download Proportions of inference package - SystemDateDownload Proportion