Supervisely
Full-stack computer vision platform for annotation, training and deployment built like an OS.
About
Supervisely is a full-stack computer vision platform that treats itself like an operating system: a core environment for data organization, annotation, team collaboration, model training, evaluation and deployment, extended by an ecosystem of installable apps. It covers images, video, 3D point clouds with LiDAR and sensor-fusion support, and medical imaging including DICOM and NIfTI volumes.
Teams can train neural networks from the web UI without stitching tools together, run the platform free online or self-host the enterprise edition, and optionally buy fully managed annotation services from Supervisely's own annotator workforce. A Python SDK covers automation. Caveat: Pro pricing starts around 199 euros per month per third-party listings, and the depth of the app ecosystem varies by use case.
What it can do
- Annotation for images, video, 3D point clouds and medical volumes
- No-code neural network training and deployment
- Open ecosystem of installable Supervisely Apps
- Fully managed turnkey annotation services
- Python SDK for automation and customization
Setup
Sign up free at app.supervisely.com, or deploy the on-premise edition for enterprise use.
Prerequisites
GPU compute (own cluster or cloud) for in-platform neural network training.
Use cases
Works with
Trust score — 6/10
Scored 6/10 (metrics tier, metrics-v1). Evidence: Strengths: public docs site, Python SDK repo with 546 GitHub stars (verified via API, active), 3D point cloud and DICOM/NIfTI support; OS-like app ecosystem; managed annotation services available; Docked for: (1) proprietary core; (2) smaller footprint than Labelbox/Scale; (3) pricing from third-party listings only. Manual review: caveat on app-ecosystem depth and pricing noted in entry. License: proprietary platform (free online tier; Pro ~199 EUR/mo per third-party listings) + open Python SDK.
★ 546 GitHub stars
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 6.0/10
- Maintenance · recency, releases, issue load
- 7.0/10
- Openness · license + docs
- 6.0/10
- Manual review · sanity read + red-flag check
- 6.0/10
- · Strengths: public docs site, Python SDK repo with 546 GitHub stars (verified via API, active), 3D point cloud and DICOM/NIfTI support
- · OS-like app ecosystem; managed annotation services available
- · Docked for: (1) proprietary core; (2) smaller footprint than Labelbox/Scale; (3) pricing from third-party listings only
- · manual review: caveat on app-ecosystem depth and pricing noted in entry
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.