Software Alternatives, Accelerators & Startups

AppsGeyser VS OpenCV

Compare AppsGeyser VS OpenCV and see what are their differences

AppsGeyser logo AppsGeyser

Appsgeyser is the easiest to use DIY native mobile app creation platform.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • AppsGeyser Landing page
    Landing page //
    2023-07-24
  • OpenCV Landing page
    Landing page //
    2023-07-29

AppsGeyser videos

Good or Bad Making Android App From Appsgeyser | arunmaurya.net

More videos:

  • Review - Thunkable vs AppsGeyser Review and कितना Commission लेती है यह Websites
  • Tutorial - HOW TO MAKE ANDROID APPS || AppsGeyser ANDROID APP MAKING TUTORIAL#ONLINE TECH DEGREE

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to AppsGeyser and OpenCV)
Mobile App Builder
100 100%
0% 0
Data Science And Machine Learning
Application Builder
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 AppsGeyser and OpenCV

AppsGeyser Reviews

Best Mobile App Development Tools for Kids
If you want to just dip your toes into the app development field, then AppGeyser is a good place to start. It’s free, it requires no coding, and it’s easy to use. You’re not going to create the next great app with this one, but you will be able to get something up quickly and easily for Android only that’s based on your website. The lack of iOS support is of course a big...
Source: codinghero.ai
Thunkable Alternatives with Advanced Options [Easy App Building]
Appsgeyser is a basic level tool which will help you to generate some specific Android and IOS apps automatically. Even you don’t need to fill flow charts for app logics and functions. This fully automatic tool will allow you to create Apps in matter of minutes.
5 Best Thunkable Alternatives Free Apps Building Sites 2018
AppsGeyser offers the free and simple tool to create, download, distribute and monetize your app. This is one of the fastest app builder platforms in the world. Your app will be created in 5 minutes or less!

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 52 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.

AppsGeyser mentions (0)

We have not tracked any mentions of AppsGeyser yet. Tracking of AppsGeyser recommendations started around Mar 2021.

OpenCV mentions (52)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 13 days ago
  • FridgeBot — GPT-4o shopping list automation
    Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / about 1 month ago
  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 7 months ago
  • Looking for a Windows auto-clicker with conditions
    You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 7 months ago
  • Looking to recreate a cool AI assistant project with free tools
    - [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 11 months ago
View more

What are some alternatives?

When comparing AppsGeyser and OpenCV, you can also consider the following products

Thunkable - Powerful but easy to use, drag-and-drop mobile app builder.

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

BuildFire - BuildFire is the easiest way for small businesses to build a mobile app in a matter of minutes for iOS and Android.

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

MIT App Inventor - App Inventor is a cloud-based tool, which means you can create apps for phones or tablets right in your web browser.

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