{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/2"}],"enrichment":{"capability":"Roboflow is a Python client for the Roboflow computer vision platform, enabling you to create projects, upload datasets and images, train vision models, and run inference on models hosted on Roboflow or self-hosted via Roboflow Inference.","skillfed_tags":["computer-vision","model-management","dataset-upload"],"use_cases":["Upload a local dataset to Roboflow and trigger training of an object detection model without leaving Python","Run inference on images using a trained model hosted on Roboflow or self-hosted via Roboflow Inference","Create and manage multiple computer vision projects programmatically, organizing datasets by annotation type","Search for images across your workspace by class or tag and export matching results as a ready-to-use dataset","Deploy custom model weights (e.g., YOLOv10) to a Roboflow version for inference via the API"],"what_it_does":"Roboflow is the official Python client for the Roboflow computer vision platform. It bridges your local Python environment and Roboflow's hosted infrastructure, letting you programmatically manage projects, upload datasets with annotations, trigger model training, and run inference on trained models. The package abstracts the Roboflow API behind a workspace-project-version hierarchy that mirrors the web interface, so you work with familiar concepts: create a project, upload images and annotations in standard formats (YOLO, COCO, Pascal VOC), train a model, and deploy it for inference.\n\nThe package ships with 21 runtime dependencies covering image processing (opencv-python-headless, Pillow, numpy), visualization (matplotlib), CLI tools (typer, click), and HTTP utilities (requests, urllib3). A lightweight roboflow-slim variant strips out image processing for serverless or embedded contexts. It is actively maintained, recently released, and has no known security vulnerabilities.","worth_installing":"Yes. Roboflow is actively maintained, has low install friction, permissive licensing, and no known vulnerabilities. Install it if you are already using Roboflow's platform and want to automate project and model management from Python. If you are not yet a Roboflow user or prefer a self-contained, offline computer vision workflow, you may not need it. The roboflow-slim variant makes it practical for lightweight deployments."},"id":"roboflow","links":{"html":"https://skillfed.io/packages/roboflow","md":"https://skillfed.io/packages/roboflow.md","pypi":"https://pypi.org/project/roboflow/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-23","license_spdx":null,"license_treatment":"permissive","name":"roboflow","python_support":"supports_current","summary":"Official Python package for working with the Roboflow API"},"popularity":{"monthly_downloads":6003713,"position":1988,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.4.0"}