Software Alternatives, Accelerators & Startups

Pipefy VS Supervisely

Compare Pipefy VS Supervisely and see what are their differences

Pipefy logo Pipefy

Pipefy is a process management software that empowers anyone to create and automate efficient workflows on their own without code.

Supervisely logo Supervisely

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

Pipefy is a workflow management software that makes business processes such as purchasing, onboarding, and recruiting hassle-free. By empowering non-technical workers to create and automate workflows without IT support, Pipefy enhances speed and delivers higher quality outcomes

  • Supervisely Landing page
    Landing page //
    2023-08-06

Pipefy

Website
pipefy.com
$ Details
freemium $22.0 / Monthly (user/month)
Platforms
Google Chrome Internet Explorer Windows Browser Web Android iOS Linux Mac OSX Chrome OS
Release Date
2016 March
Startup details
Country
United States
State
California
Founder(s)
Alessio Alionco
Employees
250 - 499

Pipefy videos

How to Optimize Company Processes with Pipefy (you might not need a CRM)

More videos:

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 Pipefy and Supervisely)
Workflow Automation
100 100%
0% 0
Data Labeling
0 0%
100% 100
Project Management
100 100%
0% 0
Data Science And Machine Learning

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Pipefy and Supervisely

Pipefy Reviews

Top Workflow Management Systems on the Market
Your team members see their work in the My Work section, where they find all the cards currently assigned to them. They also see some extra information there, like the pipe and phase of each card. Some of this information may not always be relevant, but Pipefy follows the philosophy that it’s better to have something and not need it than to need it.
11 Business Process Management (BPM) Software for SMBs
Pipefy produces automatic reports based on active work. Since your operations change daily, It helps you adjust your processes according to the changes. Forget about loading the output manually to the back-office system; just describe the whole process from beginning to the end, and Pipefy will do the rest and transform the way you work.
Source: geekflare.com
Pipefy Review — How Good Is It In 2023?
Pipefy’s unique feature is databases — it lets you store information relevant to your processes inside Pipefy without having to rely on any external storage solutions. You can then reuse this information in other pipes. This can be very convenient.

Supervisely Reviews

We have no reviews of Supervisely yet.
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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.

Pipefy mentions (0)

We have not tracked any mentions of Pipefy yet. Tracking of Pipefy recommendations started around Mar 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: almost 2 years 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: about 2 years ago
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What are some alternatives?

When comparing Pipefy and Supervisely, you can also consider the following products

Kissflow - Kissflow is a workflow tool & business process workflow management software to automate your workflow process. Rated #1 cloud workflow software in Google Apps Marketplace.

Labelbox - Build computer vision products for the real world

Process Street - Create beautiful rich process documents in a simple to follow checklist format. Fast, free and incredibly simple to use.

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

ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.

CrowdFlower - Enterprise crowdsourcing for micro-tasks