Software Alternatives, Accelerators & Startups

Float VS OpenCV

Compare Float 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.

Float logo Float

The leading resource management software for agencies, studios, and firms. With a simple, drag and drop interface and powerful editing tools, Float saves you time and keeps projects on track.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • Float Landing page
    Landing page //
    2023-02-11

Float is the world's leading resource management software for agencies, studios, and firms. Since 2012, Float has been helping the world’s best teams including RGA, VICE, Deloitte, and Buzzfeed schedule and deliver over 5.5million tasks, in more than 150 countries.

With an easy to use, intuitive interface, drag and drop features, and powerful editing tools, Float makes planning your projects and scheduling your team's time visual and simple. Search your schedule for practically anything and track your team's utilization with powerful reporting tools. Forecast your budget spend and plan ahead based on your team's real capacity and resources.

Integrate your schedule with Slack, Google Calendar and 1,000+ of your apps via Zapier. Access and update your Float schedule from anywhere with apps for iOS and Android.

By providing a single view of your real resource capacity and a shared calendar of who's working on what, Float makes team scheduling across multiple projects faster, easier and more efficient.

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

Float

Website
float.com
$ Details
$5.0 / Monthly ($5/person scheduled/month)
Platforms
Browser iOS Android
Release Date
2012 February

Float features and specs

  • User-Friendly Interface
    Float offers an intuitive and easy-to-navigate interface, making it accessible for users of all skill levels.
  • Collaboration Tools
    Float provides robust collaboration features, including real-time updates and team communication capabilities, which enhance team coordination.
  • Resource Management
    The platform excels at resource management, allowing for efficient allocation and tracking of team members and project resources.
  • Integrations
    Float integrates with popular tools like Slack, Trello, and Asana, streamlining workflows and improving productivity.
  • Mobile Accessibility
    With mobile accessibility, users can manage schedules and resources on-the-go, adding flexibility to their project management.

Possible disadvantages of Float

  • Cost
    Float may be considered expensive for small businesses or startups due to its subscription pricing model.
  • Limited Customization
    Users may find limitations in terms of customization options for specific needs or preferences.
  • Learning Curve
    Despite its user-friendly design, there may still be a learning curve for users who are new to project management tools.
  • Performance Issues
    Some users report occasional performance issues, such as slow loading times or lag, particularly with larger projects.
  • Reporting Features
    While adequate for basic needs, the reporting and analytics features may not be as advanced as some competitors.

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.

Float videos

Sonic NEW Lemonberry Slush Float Review 🍋🍓

More videos:

  • Review - Swimways Baby Float Review | Dude Dad
  • Review - Glorious G Float Review.. Should You Upgrade To Ceramic Mouse Feet?

OpenCV videos

AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to Float and OpenCV)
Resource Scheduling
100 100%
0% 0
Data Science And Machine Learning
Employee Scheduling
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 Float and OpenCV

Float Reviews

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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 a lot more popular than Float. While we know about 60 links to OpenCV, we've tracked only 2 mentions of Float. 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.

Float mentions (2)

  • 2022 Accounting/time billing ideas for SW dev consulting? On my second, not really happy
    You wouldn't want something like NetSuite just for time entry. Try float.com, one of my clients uses this and it seems to be work and is simple. Source: about 3 years ago
  • Project/Team Management software/platform assistance needed
    Schedule more than one task to a team member per day i.e. Hours per task per day - float.com and avasa.com allows this. Source: over 3 years ago

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 / 22 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
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What are some alternatives?

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

ResourceGuru - The fast, simple way to schedule people, equipment, and other resources online.

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

When I Work - When I Work is an employee scheduling and communication app using the web, mobile apps, text messaging, social media, and email.

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

Ganttic - Ganttic is a flexible resource management platform for scheduling teams, equipment, vehicles and multiple projects simultaneously. Save time, eliminate double bookings, and increase efficiency.

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