Software Alternatives, Accelerators & Startups

Geckoboard VS OpenCV

Compare Geckoboard VS OpenCV and see what are their differences

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Geckoboard logo Geckoboard

Get to know Geckoboard: Instant access to your most important metrics displayed on a real-time dashboard.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Geckoboard Landing page
    Landing page //
    2023-10-15

  www.geckoboard.comSoftware by Geckoboard

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

Geckoboard features and specs

  • User-Friendly Interface
    Geckoboard has a clean and intuitive interface, making it easy for users to set up and navigate dashboards without the need for in-depth technical skills.
  • Real-Time Data
    Geckoboard offers real-time data visualization, allowing users to monitor key metrics and make data-driven decisions swiftly.
  • Integration Capabilities
    Geckoboard supports a wide range of integrations with popular data sources such as Google Analytics, Salesforce, and Zendesk, making it versatile for different business needs.
  • Customizable Dashboards
    Users can customize dashboards extensively to focus on the KPIs that matter most to their organization, providing a tailored data visualization experience.
  • Easy Sharing
    Dashboards can be easily shared with team members or external stakeholders through secure links, making collaboration straightforward.

Possible disadvantages of Geckoboard

  • Cost
    Geckoboard can be relatively expensive, particularly for small businesses or startups with limited budgets.
  • Limited Advanced Analytics
    While it excels in data visualization, Geckoboard lacks advanced analytics features, such as complex data manipulation or predictive analytics, that some businesses may require.
  • Integration Limitations
    Although Geckoboard supports many integrations, users might find that not all data sources are covered, requiring additional data handling.
  • Dependency on External Data Integrity
    The accuracy of the dashboards heavily depends on the quality and accuracy of the external data sources integrated with Geckoboard.
  • Learning Curve
    Although the interface is user-friendly, there is still a learning curve for users unfamiliar with data dashboards and those who need to customize more advanced features.

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.

Geckoboard videos

Spreadsheet dashboards with Geckoboard - how to get key metrics seen

More videos:

  • Review - Geckoboard Data Dashboard: Product Spotlight

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Geckoboard and OpenCV)
Data Dashboard
100 100%
0% 0
Data Science And Machine Learning
Business Intelligence
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 Geckoboard and OpenCV

Geckoboard Reviews

11 Metabase Alternatives
Geckoboard is a great service that is used to build featured dashboards with the help of eighty different integrations that is a very useful method to connect your data with this application. By using this platform, you will be able to create real-time dashboards with easy-to-use and simple steps that are available for even first-time users. This application is trusted by...
Top 10 Visual Analytics Provider For 2021
A UK-based firm, Geckoboard specialises in what it calls TV dashboarding. The company creates dashboards that are more customisable to TV or bigger screens and can help companies define goals and monitor performances through KPIs that can change real-time. The platform connects to more than 60 data sources across horizontals like finance, marketing project management, social...
27 dashboards you can easily display on your office screen with Airtame 2
Sometimes, one dashboard just isn’t enough. That’s why Geckoboards lets you display several different dashboards on the same screen. You can even add your own logo for a customized look and feel that matches your brand.
Source: airtame.com

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.

Geckoboard mentions (0)

We have not tracked any mentions of Geckoboard yet. Tracking of Geckoboard 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 Geckoboard and OpenCV, you can also consider the following products

Databox - Databox is an easy-to-use analytics platform that helps growing businesses centralize their data, and use it to make better decisions and improve performance.

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

Google Data Studio - Data Studio turns your data into informative reports and dashboards that are easy to read, easy to share, and fully custom. Sign up for free.

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

Klipfolio - Klipfolio is an online dashboard platform for building powerful real-time business dashboards for your team or your clients.

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