{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/9"},{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/4"}],"enrichment":{"capability":"Python SDK for the Supervisely computer vision platform, providing programmatic access to data labeling, model management, project workflows, and app deployment capabilities.","skillfed_tags":["computer-vision","data-labeling","platform-sdk"],"use_cases":["Automate bulk upload and annotation of images or videos to Supervisely projects from local or cloud storage.","Build headless scripts that train models, evaluate performance, and push predictions back to the platform for review.","Create custom web apps with interactive UIs that integrate into Supervisely's labeling tools and ecosystem.","Download labeled datasets and annotations in standard formats for local model development and experimentation.","Manage team collaboration by programmatically creating projects, datasets, and assigning tasks to team members."],"what_it_does":"Supervisely is a Python SDK that wraps the Supervisely platform's HTTP REST API, enabling programmatic control over computer vision workflows including data labeling, project management, model deployment, and app creation. The platform itself is a web-based operating system for computer vision tasks\u2014supporting image, video, 3D point cloud, and medical image (DICOM) annotation, model training, and collaborative workflows. The SDK lets developers automate routine tasks, integrate custom models, manage datasets, and build applications that run within the Supervisely ecosystem.\n\nThe package is production-stable and actively maintained, with broad Python version support. Its dependency tree includes standard CV libraries (numpy, opencv-python, pillow, SimpleITK, pydicom, trimesh) and web infrastructure (fastapi, starlette, uvicorn, websockets), reflecting its role as both a client library and a foundation for building interactive web-based apps. Authentication is token-based and typically environment-driven.","worth_installing":"Yes, if you are working within the Supervisely ecosystem or planning to integrate computer vision workflows with it. The SDK is actively maintained, has low install friction, and provides a mature Python interface to a production platform. However, clarify the license implications beforehand (treatment is currently unclear), and verify that the 53 dependencies align with your environment constraints. Not relevant if you need a standalone CV library independent of the Supervisely platform."},"id":"supervisely","links":{"html":"https://skillfed.io/packages/supervisely","md":"https://skillfed.io/packages/supervisely.md","pypi":"https://pypi.org/project/supervisely/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-12","license_spdx":null,"license_treatment":"unclear","name":"supervisely","python_support":"supports_current","summary":"Supervisely Python SDK."},"popularity":{"monthly_downloads":687561,"position":5345,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"6.74.28"}