Software Alternatives, Accelerators & Startups

OpenCV VS Simple Analytics

Compare OpenCV VS Simple Analytics and see what are their differences

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OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library

Simple Analytics logo Simple Analytics

The privacy-first Google Analytics alternative located in Europe.
  • OpenCV Landing page
    Landing page //
    2023-07-29
  • Simple Analytics Landing page
    Landing page //
    2022-09-05

Simple Analytics gives you insights into the performance of your website without ever collecting personal data, with a clean interface, and simple integration. GDPR, CCPA and, PECR compliant because we don't handle personal data and set no cookies.

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    While the documentation is extensive, it can sometimes be incomplete or outdated, requiring users to rely on community forums or external sources for solutions.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.

Simple Analytics features and specs

  • Privacy-focused
    Simple Analytics does not collect personal data, ensuring compliance with privacy laws like GDPR and CCPA. This approach appeals to users concerned about data privacy.
  • Ease of Use
    The platform prides itself on a user-friendly interface, making analytics accessible for individuals with varying levels of technical expertise.
  • No Cookies
    By eliminating the need for cookies, Simple Analytics reduces the complexity of compliance and improves user trust.
  • Transparent Pricing
    Offers straightforward pricing without hidden fees, which benefits small to medium-sized businesses looking for cost-effective solutions.
  • Quick Setup
    Setting up Simple Analytics is a quick process, often taking just a few minutes, reducing the time and effort required to begin tracking site data.
  • Lightweight Script
    The tracking script is lightweight, ensuring that it does not significantly affect website loading times, thus maintaining a good user experience.

Possible disadvantages of Simple Analytics

  • Limited Features
    Compared to more comprehensive platforms like Google Analytics, Simple Analytics offers fewer features and customization options, which may not satisfy advanced users.
  • Basic Reporting
    The reporting capabilities are basic and may not provide in-depth insights that large enterprises or data-driven teams may require.
  • No Integration with Ad Services
    Simple Analytics lacks built-in integrations with advertising services like Google Ads, potentially complicating the tracking of campaign performance.
  • Smaller User Community
    Given its niche market focus, the platform has a smaller user community, which can make it harder to find peer support or community-driven solutions.
  • Less Mature Ecosystem
    Unlike older platforms, Simple Analytics may lack integrations with a wide range of third-party tools and services, limiting its flexibility.
  • Cost
    While the pricing is transparent, it can still be seen as relatively high for the features offered, especially when compared to free alternatives like Google Analytics.

Analysis of OpenCV

Overall verdict

  • Yes, OpenCV is considered a good and reliable choice for computer vision tasks, particularly due to its extensive functionality, active community, and flexibility.

Why this product is good

  • OpenCV (Open Source Computer Vision Library) is widely regarded as a robust and versatile library for computer vision applications. It offers a comprehensive collection of functions and algorithms for image processing, video capture, machine learning, and more. Its open-source nature encourages community involvement, making it highly adaptable and continuously improving. OpenCV's cross-platform support and ease of integration with other libraries and languages further enhance its appeal.

Recommended for

  • Developers and researchers working on computer vision projects
  • People looking to implement real-time video analysis
  • Individuals exploring machine learning applications related to image and video processing
  • Anyone interested in experimenting with or learning computer vision concepts

Analysis of Simple Analytics

Overall verdict

  • Simple Analytics is a good choice for users who prioritize privacy and simplicity in their web analytics tools. It provides sufficient insights for basic website analytics needs without overwhelming users with too much data or complex features.

Why this product is good

  • Simple Analytics is often praised for its privacy-focused approach. It does not collect personal data, which appeals to users and businesses concerned about privacy and compliance with data protection regulations like GDPR. The platform offers an easy-to-understand interface with essential analytics metrics, making it accessible to users without a technical background. Additionally, Simple Analytics is lightweight, which means it doesn't slow down websites as much as other analytics tools might.

Recommended for

    Simple Analytics is recommended for small to medium-sized businesses, bloggers, and website owners who need straightforward analytics and value privacy. It’s particularly suitable for those looking to comply with privacy regulations without compromising on user data protection.

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Simple Analytics videos

Fathom, simple analytics. A Google Analytics alternative | Privacy & Simplicity focused! 🎯

More videos:

  • Review - Seriously Simple Analytics Review
  • Review - Seriously Simple Analytics Review
  • Demo - Why we created Simple Analytics

Category Popularity

0-100% (relative to OpenCV and Simple Analytics)
Data Science And Machine Learning
Analytics
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Web Analytics
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 OpenCV and Simple Analytics

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.

Simple Analytics Reviews

Top 10 AI Data Analysis Tools in 2024
Simple Analytics is a revolutionary web analytics platform that prioritizes user privacy and transparency above all else. Developed as an ethical alternative to data-hungry giants like Google Analytics, Simple Analytics offers a refreshingly lightweight and user-friendly solution for tracking website metrics without compromising on data protection. With its unwavering...
Source: powerdrill.ai
Privacy-oriented alternatives to Google Analytics
Simple Analytics was my original second contender for the analytics of this blog. The $19 a month starting plan with 100k pageviews is on the more expensive side, but their yearly deal gets you a better price than Fathom at just $9 a month.
Lightweight alternatives to Google Analytics
One is the minimalist Simple Analytics product, which is a cloud-based tool created by solo developer Adriaan van Rossum; it has a clean-looking interface with only the few key metrics, similar to Plausible. Another is Fathom, which was open source initially, but the current version is proprietary (although the company hopes to start maintaining the open-source code base...
Source: lwn.net

Social recommendations and mentions

Based on our record, OpenCV should be more popular than Simple Analytics. 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.

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 / about 1 month ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / about 2 months 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 / 6 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 / 7 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 / 9 months ago
View more

Simple Analytics mentions (26)

  • This Next.js blog template is awesome.
    Multiple analytics options including Umami, Plausible, Simple Analytics, Posthog and Google Analytics. - Source: dev.to / 8 months ago
  • Awesome-no-code-tools
    Simple Analytics - Simple, clean, and friendly analytics. - Source: dev.to / 11 months ago
  • SaasRock v0.5.0 - Cookie consent and built-in Analytics
    SaasRock does not intend to invent the wheel, there are great analytics solutions out there, both free and powerful. But SaasRock’s main goal is to have everything you need when building SaaS applications, at least in a minimal way. - Source: dev.to / almost 3 years ago
  • Italian watchdog bans use of Google Analytics
    Regarding forbidden countries, it’s not forbidden in the Netherlands, yet. They will announce a verdict in a form of a report by the end of 2022 [1]. To give people an option and pink something else over Google Analytics, I have built an alternative, Simple Analytics [2]. It doesn’t use cookies or any form of tracking and you get still the useful data that 80% of the website owners need. [1]... - Source: Hacker News / almost 3 years ago
  • Italian watchdog bans use of Google Analytics
    It is. Most startups in the EU have to use more and more businesses in the EU. The selection is little, so way more changes to succeed if your EU based and serve both markets. I run Simple Analytics [1], which is a privacy-first analytics business from the Netherlands. I see a lot of business from the EU just because we are from the EU as well. [1] https://simpleanalytics.com/?ref=hn. - Source: Hacker News / almost 3 years ago
View more

What are some alternatives?

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

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

Plausible.io - Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure 🇪🇺

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

Fathom Analytics - Simple, trustworthy website analytics (finally)

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

Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.