Boundless customization with
Supervisely Apps

Explore constantly growing ecosystem of hundreds of ready-to-use Supervisely Apps and make your contribution.

What’s an app?

Supervisely Apps are interactive web-widgets that add new functionality to any part of the platform.

Built with Python Python backend and Vue VueJs frontend, apps are very easy for development and can tailor even the most complex or custom workflows.


Interactive app interface is rendered via VueJS


App can add, edit and remove virtually anything via API


Actions made in app are processed on Python backend

App Engine

The magic behind applications

Right where you need them

Supervisely Apps can be deeply integrated into the core of the platform, hide in a context menu a dataset, be a part of a labeling toolbox, or run as a stand-alone dashboard.

That creates an incredible synergy between core features of Supervisely and variety of features a labeler, manager, data engineer or scientists may need.

Open-source tools,
integrated and enhanced

Computer vision stands on the shoulders of academia — new open-source projects like state-of-the-art models and machine learning tools can dramatically improve your day-by-day workflow.

Unfortunately, there are some extra steps you need to make before you can start using those tools:


Without Supervisely

Hard to start

Often you need to install additional software and libraries, provide configs and read long readmes before you can even try it.

No user interface

Usually those projects are built by researcher for researchers and are not intended to be used by your manager — unless they know how to run it in terminal, of course.

No integration with other tools

Unless two projects are made by the same people, you cannot use output of a tool in another tool, say, train model and visualize its weights without wasting your time on format conversion.


With Supervisely

Just click “Run”!

Open-source projects integrated as Supervisely Apps are ready to go: just pick the tool you need form the ecosystem and run it straight away.

GUI in your web-browser

Now everyone: you, your colleagues, your manager, even your grand-ma can configure and run complex tools that previously could require you editing .jsons and python knowledge.

Connected together

Maybe, the most important benefit of Supervisely Apps: since every tool now takes as an input and outputs results in the same format, you can easily build end-to-end pipelines such as data preparation, argumentation and training shockingly easy.

Integrated projects

Here are some of the recent examples:

Object Detection Metrics

GitHub User's stars
Most popular metrics used to evaluate object detection algorithms.


GitHub User's stars
Image augmentation for machine learning experiments.

Train YOLOv5

GitHub User's stars
YOLOv5 🚀 in PyTorch

Host 🚀 public or 🔒 private repositories on GitHub

All our Supervisely Apps are open-sourced and publicly available on GitHub for everyone to explore, fork and develop new apps.

Need a private app for your private task? No problem, our Enterprise Edition supports closed Git repositories so you can develop and host it in secret.

And by the way, we can develop a private app for your task to tailor Supervisely for even the most unique workflow.


On-premise edition built for your business

A fully customizable AI infrastructure, deployed on cloud or your servers with everything you love about Supervisely, plus advanced security, control, and support.

Start 30 days free trial
  • Maximum security: hosted behind firewall on your servers with advanced governance and privacy settings
  • Effortless integrations: single sign-on with LDAP or OpenID, cloud storage in AWS or Azure and powerful API & SDK
  • Priority support: dedicated slack chat, guided onboarding and personalized training sessions with experts
supervisely install
> downloading pre-requirements...
> pulling docker images...
> installing software...
> Done! Supervisely is running on port :80

supervisely update
> checking for updates...
> Your version is up to date!
Supervisely slack logo
Team Manager 17:33
Hello @supervisely! Is there a way to create a project via API?
Supervisely 17:35
Sure thing, check out this docs!

Here’s why our customers trust us

Engie customer testimonial
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We use Supervisely since 2019. The key advantage of this tool is that Supervisely provides a complete data treatment pipeline. An important advantage is that a Supervisely instance can be deployed autonomously on a Client infrastructure, and distributed on different servers.

It helps to treat enterprise’s internal and often confidential data in a secured way. Together with a user-friendly interface, a clear documentation and a friendly and reactive support team it helps us to do Data Scientist work better and faster.

Dmitriy Slutskiy
PhD Research Engineer
BMW customer testimonial

BMW Group is using the solution to create automated verifications for ensuring a very high product quality across the whole production chain in vehicle and vehicle component manufacturing.

BMW Group uses to annotate manufacturing images from production lines in their world-wide plants for enhancing quality inspections using deep learning. The tooling also supports the process for continuously updating AI models using semi-automated labeling. is integrated into the BMW Group AI Platform in order to empower computer vision based AI use cases.

Surgar customer testimonial
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We’ve been working together with Supervisely since 2020, and we have helped each other to grow rapidly and significantly.

Supervisely’s team has been incredibly fast and agile in taking on board our requirements and implementing useful, up-to-date computer vision functionalities. In addition, we appreciate the openness and scalability of their ecosystem combined with the Python SDK and API. So far, we have been very satisfied with the platform and the incredibly responsive team.

Julien Peyras
Director of Data Science Department
UCD customer testimonial
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Working with has significantly enhanced our capability to develop AI models for lung CT scans. What sets apart is its exceptional support team who are really responsive and adapt to our unique needs with a range of apps and helper files.

Their team has developed updates driven by our specific user feedback, making a critical component of our research ecosystem in generating the specific labels we need to provide AI-driven solutions. We are immensely grateful for their pivotal role in our work.

Katie Noonan
AI Research Engineer
Resson customer testimonial
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We originally set out to look for tools that could help us with data annotation, and we discovered that Supervisely excels at that and much more. It has become an integral part of our workflow in annotation, model training, and evaluation.

We've been exceedingly impressed with the customer support, addition of new features, and the flexibility of the publicly available SDK/API. The Supervisely team has also been fast to respond to support questions, and has shown a lot of openness when given feedback on potential improvements.

Travis Prosser
Engineering Specialist
Toadi customer testimonial
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We have been using Supervisely for a few years now to help label and organize our data for AI training. The interface is user-friendly and the tools are intuitive to use, which has made the annotation process much more efficient for our team. We run Supervisely locally, which allows us to stay in control of our data. We also use Supervisely for annotation reviews, and the review tools have been invaluable in ensuring the quality and accuracy. The Python SDK has also been incredibly helpful in automating and streamlining our workflow. In addition, the support team on Slack has been extremely helpful and responsive. The ability to collaborate with my colleagues on the same project has also been a huge time-saver.

Overall, we have been extremely satisfied with Supervisely and would highly recommend it to anyone in need of a reliable and efficient annotation solution.

Mike Slembrouck



Supervisely provides first-rate experience since 2017, longer than most of computer vision platforms over there.



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