supervisely
Supervisely Python SDK.
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires a Supervisely account and valid API token (typically set via environment variable for Api.from_env()).
- Low install friction with a pure Python wheel.
- Actively maintained with a release 2 days ago and 540 repository stars.
License · maintenance · safety
(unclear)
last release 2026-08-12 (2 days) · last repo commit 2026-08-12 · 540 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 687,561 downloads/mo, #5,345 on PyPI
Alternatives
Verify before relying
pip install supervisely
import supervisely as sly
api = sly.Api.from_env()
project = api.project.create(workspace_id=123, name="demo project")- Whether the package's license treatment ('unclear') poses any legal constraint for commercial use.
- Performance characteristics and scalability limits for large-scale data uploads or model inference.
- Whether all 53 runtime dependencies are required for basic SDK usage or if many are optional.
What it is and 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—supporting 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.
The 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.
Use it for
- 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.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
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.
Install
supervisely on PyPI
Before you install
Low install friction with a pure Python wheel. Actively maintained with a release 2 days ago and 540 repository stars. Supports modern Python versions (3.8–3.14) and carries 53 runtime dependencies including core CV libraries (numpy, opencv-python, pillow) and web frameworks (fastapi, starlette).
Requires a Supervisely account and valid API token (typically set via environment variable for Api.from_env()).
Quickstart
pip install supervisely
import supervisely as sly
api = sly.Api.from_env()
project = api.project.create(workspace_id=123, name="demo project")Verify before relying
- Whether the package's license treatment ('unclear') poses any legal constraint for commercial use.
- Performance characteristics and scalability limits for large-scale data uploads or model inference.
- Whether all 53 runtime dependencies are required for basic SDK usage or if many are optional.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 53 packagescachetoolsnumpyopencv-pythonprettytablepillowpython-json-loggerpackagingrequestsrequests-toolbeltShapelybidictvarnamepython-dotenvpynrrdSimpleITKpydicomstringcasepython-magictrimeshuvicornstarlettepydanticfastapiwebsocketsjinja2psutiljsonpatchpatchdiffMarkupSafearel |
| Maintenance | Actively maintained 2 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 687,561 / month, #5,345 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: Science/ResearchNatural Language :: EnglishProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Software Development :: Libraries :: Python Modules |
Evidence: supervisely-6.74.28-py3-none-any.whl
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See also inference-sdk · cvat-sdk · label-studio · supervision · google-cloud-vision · labelbox · azureml-sdk · clarifai · gooddata-sdk · label-studio-sdk