Software Alternatives, Accelerators & Startups

Pipefy VS OpenCV

Compare Pipefy VS OpenCV and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Pipefy logo Pipefy

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

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • 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

  • OpenCV Landing page
    Landing page //
    2023-07-29

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 features and specs

  • User-Friendly Interface
    Pipefy offers a clean and intuitive user interface that makes it easy for users to navigate and manage processes without extensive training.
  • Customizable Workflows
    The platform provides highly customizable workflows that allow users to tailor processes to their specific needs, enabling greater control and efficiency.
  • Automation
    Pipefy includes robust automation features that help streamline repetitive tasks, reduce manual errors, and save time.
  • Integrations
    Pipefy supports integrations with various other tools and services, enhancing its functionality and allowing for seamless data flow between applications.
  • Collaboration Tools
    The platform offers various collaboration tools like comments, notifications, and shared views, which facilitate team communication and coordination.

Possible disadvantages of Pipefy

  • Pricing
    The cost can be relatively high, especially for small businesses or startups with limited budgets. Some features are only available in higher-tier plans.
  • Learning Curve for Advanced Features
    While the basic interface is user-friendly, mastering the more advanced features and customization options may require some time and effort.
  • Limited Mobile Functionality
    The mobile app lacks some functionality compared to the desktop version, which can be a limiting factor for users who need full access on the go.
  • Performance Issues
    Some users have reported performance issues such as slow load times and occasional glitches, which can hinder productivity.
  • Customer Support
    Though generally responsive, some users have noted that customer support can sometimes be slow to resolve complex issues.

OpenCV features and specs

  • Comprehensive Library
    OpenCV offers a wide range of tools for various aspects of computer vision, including image processing, machine learning, and video analysis.
  • Cross-Platform Compatibility
    OpenCV is designed to run on multiple platforms, including Windows, Linux, macOS, Android, and iOS, which makes it versatile for development across different environments.
  • Open Source
    Being open-source, OpenCV is freely available for use and allows developers to inspect, modify, and enhance the code according to their needs.
  • Large Community Support
    A large community of developers and researchers actively contributes to OpenCV, providing extensive support, tutorials, forums, and continuously updated documentation.
  • Real-Time Performance
    OpenCV is highly optimized for real-time applications, making it suitable for performance-critical tasks in various industries such as robotics and interactive installations.
  • Extensive Integration
    OpenCV can easily be integrated with other libraries and frameworks such as TensorFlow, PyTorch, and OpenCL, enhancing its capabilities in deep learning and GPU acceleration.
  • Rich Collection of examples
    OpenCV provides a large number of example codes and sample applications, which can significantly reduce the learning curve for beginners.

Possible disadvantages of OpenCV

  • Steep Learning Curve
    Due to the vast array of functionalities and the complexity of some of its advanced features, beginners may find it challenging to learn and use effectively.
  • Documentation Gaps
    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.
  • Resource Intensive
    Some functions and algorithms in OpenCV can be quite resource-intensive, requiring significant processing power and memory, which can be a limitation for low-end devices.
  • Limited High-Level Abstractions
    OpenCV provides a wealth of low-level functions, but it may lack higher-level abstractions and frameworks, necessitating more hands-on coding and algorithm development.
  • Dependency Management
    Setting up and managing dependencies can be cumbersome, especially when integrating OpenCV with other libraries or on certain operating systems.
  • Backward Compatibility Issues
    With frequent updates and new versions, backward compatibility can sometimes be problematic, potentially breaking existing code when updating.

Pipefy videos

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

More videos:

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Pipefy and OpenCV)
Workflow Automation
100 100%
0% 0
Data Science And Machine Learning
Automation
100 100%
0% 0
Data Science Tools
0 0%
100% 100

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 OpenCV

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.

OpenCV Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
10 Python Libraries for Computer Vision
OpenCV is the go-to library for computer vision tasks. It boasts a vast collection of algorithms and functions that facilitate tasks such as image and video processing, feature extraction, object detection, and more. Its simple interface, extensive documentation, and compatibility with various platforms make it a preferred choice for both beginners and experts in the field.
Source: clouddevs.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
OpenCV is an open-source computer vision and machine learning software library that was first released in 2000. It was initially developed by Intel, and now it is maintained by the OpenCV Foundation. OpenCV provides a set of tools and software development kits (SDKs) that help developers create computer vision applications. It is written in C++, but it supports several...
Source: www.uubyte.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
These are some of the most basic operations that can be performed with the OpenCV on an image. Apart from this, OpenCV can perform operations such as Image Segmentation, Face Detection, Object Detection, 3-D reconstruction, feature extraction as well.
Source: neptune.ai
5 Ultimate Python Libraries for Image Processing
Pillow is an image processing library for Python derived from the PIL or the Python Imaging Library. Although it is not as powerful and fast as openCV it can be used for simple image manipulation works like cropping, resizing, rotating and greyscaling the image. Another benefit is that it can be used without NumPy and Matplotlib.

Social recommendations and mentions

Based on our record, OpenCV seems to be more popular. It has been mentiond 60 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.

OpenCV mentions (60)

  • Grasping Computer Vision Fundamentals Using Python
    To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / 8 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 21 days ago
  • Why 2024 Was the Best Year for Visual AI (So Far)
    Almost everyone has heard of libraries like OpenCV, Pytorch, and Torchvision. But there have been incredible leaps and bounds in other libraries to help support new tasks that have helped push research even further. It would be impossible to thank each and every project and the thousands of contributors who have helped make the entire community better. MedSAM2 has been helping bring the awesomeness of SAM2 to the... - Source: dev.to / 5 months ago
  • 20 Open Source Tools I Recommend to Build, Share, and Run AI Projects
    OpenCV is an open-source computer vision and machine learning software library that allows users to perform various ML tasks, from processing images and videos to identifying objects, faces, or handwriting. Besides object detection, this platform can also be used for complex computer vision tasks like Geometry-based monocular or stereo computer vision. - Source: dev.to / 6 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library is used for image and video processing, offering functions for tasks like object detection, filtering, and transformations in computer vision. - Source: dev.to / 8 months ago
View more

What are some alternatives?

When comparing Pipefy and OpenCV, 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.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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

NumPy - NumPy is the fundamental package for scientific computing with Python