Software Alternatives & Reviews

Flagship.io VS Supervisely

Compare Flagship.io VS Supervisely and see what are their differences

Flagship.io logo Flagship.io

Feature Flag as a Service - Separate code deployments from feature releases to speed up development cycles, mitigate risks and release safely.

Supervisely logo Supervisely

Supervisely helps people with and without machine learning expertise to create state-of-the-art...
  • Flagship.io Landing page
    Landing page //
    2023-05-09

Flagship.io is a feature flagging platform for modern engineering and product teams that eliminates the risks of future releases by separating code deployments from these releases. With Flagship.io, we push the concept of feature flags to the next level giving you full control over the release process. With Flagship.io, you can:

  • Switch features on or off through remote config.
  • Separate code deployments from future releases.
  • Automatically roll-out your features gradually.
  • Roll back any feature should any issues arise.
  • Segment users by granting access to a feature based on certain user attributes.
  • Carry out A/B tests by easily assigning feature variations to groups of users.
  • Supervisely Landing page
    Landing page //
    2023-08-06

Flagship.io features and specs

  • API: Yes
  • SDKs: Yes
  • Targeting Segments: Yes
  • Dashboards: Yes
  • Analytics and Reporting: Yes
  • Role Based Access Control: Yes
  • Data Import/Export: Yes
  • Free Trial: Yes
  • GDPR Compliant: Yes

Supervisely features and specs

No features have been listed yet.

Flagship.io videos

Video Feature Flag and Experimentation

Supervisely videos

🛠️Basic annotation overview - Supervisely

More videos:

  • Review - Cars annotation in Supervisely: Polygons vs. AI powered tool
  • Tutorial - Yolo v3 Tutorial #2 - Object Detection Training Part 1 - Create a Supervisely Cluster

Category Popularity

0-100% (relative to Flagship.io and Supervisely)
Feature Flags
100 100%
0% 0
Data Labeling
0 0%
100% 100
Release Management
100 100%
0% 0
Image Annotation
0 0%
100% 100

User comments

Share your experience with using Flagship.io and Supervisely. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Supervisely seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Flagship.io mentions (0)

We have not tracked any mentions of Flagship.io yet. Tracking of Flagship.io recommendations started around Jul 2021.

Supervisely mentions (6)

  • Way to label yolov7 images fast
    Another annotation tool that integrates prediction and training within the application is supervisely supervisely.com., unfortunately it's pretty expensive unless you are satisfied with the community version. I saw that they have an integration for owl-vit, which might be helpful for annotation of animals. https://ecosystem.supervisely.com/apps/serve-owl-vit. Source: about 1 year ago
  • 65 Blog Posts to Learn Data Science
    Hello world. This tutorial is a gentle introduction to building modern text recognition system using deep learning in 15 minutes. It will teach you the main ideas of how to use Keras and Supervisely for this problem. This guide is for anyone who is interested in using Deep Learning for text recognition in images but has no idea where to start. - Source: dev.to / over 1 year ago
  • Bounding Box for Text Annotation
    If they were videos, I would have suggested trying supervise.ly as it has a very good tracking functionality. Source: over 1 year ago
  • CVAT alternatives for video frame annotation
    Hi, I'm exactly in the same boat like you are. I looked around for a while and the better solutions I found was supervise.ly and CVAT for video annotation. The pricetag on supervisely is pretty high, so I analyzed CVAT for a couple days and was positively surprised. Source: almost 2 years ago
  • Accessing 2022 Machine Learning Imagery from WPI's Photo Album
    Under the WPI Photo Ambum section of the page for FRC field photos (https://www.firstinspires.org/robotics/frc/playing-field#WPIPhotos), they have a section of machine learning imagery. However, this link goes to supervise.ly, the website they use for machine learning. I created an account to attempt to download the images, however, whenever I try to 'clone' the project, it stalls at 0% and gives me an error... Source: almost 2 years ago
View more

What are some alternatives?

When comparing Flagship.io and Supervisely, you can also consider the following products

Flagsmith - Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source.

Labelbox - Build computer vision products for the real world

LaunchDarkly - LaunchDarkly is a powerful development tool which allows software developers to roll out updates and new features.

Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset

ConfigCat - ConfigCat is a developer-centric feature flag service with unlimited team size, awesome support, and a reasonable price tag.

CrowdFlower - Enterprise crowdsourcing for micro-tasks