Software Alternatives, Accelerators & Startups

OpenCV VS Plausible.io

Compare OpenCV VS Plausible.io 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.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library

Plausible.io logo 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 🇪🇺
  • OpenCV Landing page
    Landing page //
    2023-07-29
  • Plausible.io Landing page
    Landing page //
    2020-07-07

Plausible Analytics is not designed to be a clone of Google Analytics. It is meant as a simple-to-use replacement and a privacy-friendly alternative that can help many site owners.

  • It's quick, simple to use and understand with all the metrics displayed on one page. Doesn't track hundreds of metrics like Google Analytics does

  • Lightweight script of less than 1 KB so sites load fast. The script is 45 times smaller script than the Google Analytics one

  • Doesn't use cookies so there's no need to worry about cookie banners

  • Doesn't track personal data so it's compliant with GDPR out of the box and you don't need to worry about asking for data consent

  • It's open source with the code available on GitHub so you can even self host exactly the same product free as in beer

  • Unlike Google Analytics, the cloud product is not free as in beer because the business model is subscriptions rather than selling the data of your visitors. Plausible Analytics is bootstrapped without any external funding so the subscription fees help cover the costs and time spent on development.

Plausible.io

$ Details
paid Free Trial $9.0 / Monthly (10,000 pageviews)
Platforms
Web Browser Google Chrome Firefox Safari Wordpress
Release Date
2019 April

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.

Plausible.io features and specs

  • Privacy-focused
    Plausible does not collect personal data about your visitors and is fully compliant with GDPR, CCPA, and PECR.
  • Simple to Use
    The user interface is intuitive and easy to navigate, making it accessible for users without technical expertise.
  • Lightweight
    Plausible's script is under 1 KB in size, making it fast to load and reducing the impact on site speed.
  • Open-Source
    The platform is open-source, which allows for community contributions and transparency in how data is handled.
  • Real-Time Data
    Plausible provides real-time analytics, which can be useful for monitoring live events and activities on your site.
  • Affordable Pricing
    Offers competitive pricing models that can be more budget-friendly for small to medium-sized businesses compared to other analytics platforms.

Possible disadvantages of Plausible.io

  • Limited Features
    Lacks some advanced features found in more comprehensive analytics tools like Google Analytics, such as multi-channel funnels and detailed demographic information.
  • No Free Tier
    Plausible does not offer a free tier, which could be an obstacle for very small websites or individual users on a tight budget.
  • Basic Reporting
    The reporting may be too basic for larger enterprises that require more granular and customizable analytics.
  • No App Integration
    Currently, Plausible does not offer integrations with mobile app analytics, limiting its use to web applications.
  • Smaller User Base
    As a relatively new and smaller player in the market, it may not have the extensive user community or third-party support seen with more established platforms.

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Plausible.io videos

Cardano Blackboard Series #5: What is plausible deniability?

More videos:

  • Review - How Plausible is the Balkanized America from Crimson Skies? (A Map Analysis)
  • Review - Movie Review - How Plausible is The Martian?

Category Popularity

0-100% (relative to OpenCV and Plausible.io)
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 Plausible.io

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.

Plausible.io Reviews

  1. Happy Paying User :)

    I've been using plausible since Sep 2019 and never had any doubts about it. It provides me with everything I need related to visitor stats while keeping privacy in first place.

    It doesn't slow down my website loading speed (it's amazing, it's less than 1KB in size!), is not blocked by adblockers since it's not really a tracker tracker, and owners are super cool and they actually respond to every inquiry you could possibly have.

    If you're looking for de-googling your stuff, you can start with Plausible :)

    🏁 Competitors: Google Analytics, Matomo, Woopra
    👍 Pros:    Loading speed|Clean ui|Privacy concisous|Custom domain|Affordable prices|Easy integration|Super simple
  2. Makis
    · Senior Software Engineer ·
    Plausibly simple analytics!

    I tried several analytics tools prior to Plausible, namely Google Analytics and later on Matomo. I found both to be fairly complicated for my usage which is a personal blog. Complicated in the way I had to install and use them. Plausible's simple to set up approach combined with a very clean and inviting user interface was a breath of fresh air. It's simple and clean enough that it actually makes me want to check and analyse my traffic which is a feeling I never thought I'd have having tried alternatives.

  3. Cesar Reyes
    · CEO at Reyes.Pro ·
    Excellent alternative to google analytics

    It offers clear information about what I really need, without distractions, without advertising and does not slow my site.

    🏁 Competitors: Google Analytics

Top 5 Plausible Analytics Alternatives in 2024
Looking for an excellent Plausible Analytics alternative? Read on as in this blog we will be exploring the best Plausible alternatives in 2024.
Source: www.putler.com
Top 9 Plausible Analytics alternatives in 2024
Plausible is an analytics platform focused on delivering clear insights into website traffic. By offering essential metrics like page views and referral sources, Plausible aids businesses in making informed decisions to optimize their online presence.
Source: usermaven.com
Top 5 Self-Hosted, Open Source Alternatives to Google Analytics
Use Case Example: An educational blog opts for Plausible to track user engagement metrics without impacting site performance or user privacy.
Source: zeabur.com
Top 5 open source alternatives to Google Analytics
Plausible is a newer kid on the open source analytics tools block. It’s lean, it’s fast, and only collects a small amount of information — that includes numbers of unique visitors and the top pages they visited, the number of page views, the bounce rate, and referrers. Plausible is simple and very focused.
Source: opensource.com
Privacy-oriented alternatives to Google Analytics
I learned about Plausible just recently, but they deserve to be on top of this list for me. Their platform is completely Open Source on GitHub under the MIT license. I personally also like that it’s written in Elixir.

Social recommendations and mentions

Based on our record, Plausible.io should be more popular than OpenCV. It has been mentiond 200 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 / 13 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 26 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

Plausible.io mentions (200)

  • 10 of the Best Web Analytics Tools for React Websites
    Plausible is a privacy-focused website analytics tool that provides simple, actionable insights into website traffic and visitor behavior. It prioritizes data privacy by offering transparent analytics without cookies, tracking scripts, or personal data collection. - Source: dev.to / 2 months ago
  • Top 10 European Open-Source Projects to Watch in 2025
    Perfect for companies running under tight EU privacy regulations. Find more: Plausible analytics. - Source: dev.to / 2 months ago
  • Meet Marko Saric, Co-founder of Privacy-friendly Plausible Analytics
    In this interview, Marko Saric shared his thoughts on privacy and running a bootstrapped SaaS business. Plausible integration is already available in Open SaaS as a privacy-friendly alternative to Google Analytics. We hope this interview helps you understand the value of such a product, and the nature of running an open source business. - Source: dev.to / 3 months ago
  • 5 Side Project Ideas for Developers to Monetize as Micro-SaaS in 2025
    Plausible Analytics (https://plausible.io/) is a lightweight, privacy-focused analytics tool that’s designed to be simple and easy to use. Unlike Google Analytics, Plausible gives you just the metrics you need—without the bloat. - Source: dev.to / 3 months ago
  • Umami is a simple, fast, privacy-focused alternative to Google Analytics
    It is not entirely clear who wrote these descriptions. Maybe it was not the vendor. At least their website https://plausible.io/ has a much better wording. > No need for cookie banners or GDPR consent. - Source: Hacker News / 3 months ago
View more

What are some alternatives?

When comparing OpenCV and Plausible.io, 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.

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.

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

Fathom Analytics - Simple, trustworthy website analytics (finally)

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

Matomo - Matomo is an open-source web analytics platform