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CrashPlan VS OpenCV

Compare CrashPlan VS OpenCV and see what are their differences

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CrashPlan logo CrashPlan

CrashPlan for Small Business backup software offers the best way to back up and store business & enterprise data securely - offsite, onsite & online in the Cloud.

OpenCV logo OpenCV

OpenCV is the world's biggest computer vision library
  • CrashPlan Landing page
    Landing page //
    2023-05-11
  • OpenCV Landing page
    Landing page //
    2023-07-29

CrashPlan features and specs

  • Unlimited Storage
    CrashPlan offers unlimited cloud storage for backups, allowing users to back up as much data as needed without worrying about hitting a cap.
  • Continuous Backup
    The software provides continuous, automatic backup, ensuring that data is protected in real-time without needing manual intervention.
  • File Versioning
    CrashPlan keeps multiple versions of files, allowing users to restore any previous version in case of accidental changes or deletions.
  • Cross-Platform Support
    Available for Windows, Mac, and Linux, making it versatile and suitable for various users and environments.
  • Strong Security
    Uses AES-256 bit encryption for stored files and TLS for data transfer, ensuring a high level of security for user data.
  • Flexible Restore Options
    Offers various options for restoring files, including web-based access, making it convenient to retrieve data from anywhere.

Possible disadvantages of CrashPlan

  • Cost
    While offering valuable features, it is relatively expensive compared to some rivals, potentially putting it out of reach for budget-conscious users.
  • No Mobile App
    Lacks a dedicated mobile app, which can limit accessibility and convenience for users who need to manage backups on the go.
  • Upload Speed Limits
    Some users have reported slower upload speeds for initial backups, which can be a drawback if you need to back up large amounts of data quickly.
  • Complex Interface
    The user interface can be somewhat complex and unintuitive, which might be challenging for non-technical users.
  • Limited Customer Support
    Customer support is not available 24/7, which could be an issue for users needing immediate help outside of business hours.

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.

CrashPlan videos

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OpenCV videos

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AI Courses by OpenCV.org

More videos:

  • Review - Practical Python and OpenCV

Category Popularity

0-100% (relative to CrashPlan and OpenCV)

CrashPlan

OpenCV

Backup And Disaster Recovery
100 100%
Backup And Disaster Recovery
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Cloud Storage
100 100%
Cloud Storage
0% 0
Data Science Tools
0 0%
Data Science Tools
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 CrashPlan and OpenCV

CrashPlan Reviews

Raising Prices is Hard
Early that morning news broke that our main competitor, Crashplan, was leaving the consumer backup space. You may be saying: Wait a minute, a main competitor is leaving the market and you have a mechanism to increase your prices in place — that sounds like the perfect day to raise prices! Nope. Another one of our values, is to be fair and good. Raising prices on a day when...
Source: www.backblaze.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.
Source: www.labellerr.com
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.
Source: towardsdatascience.com

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.

CrashPlan mentions (0)

We have not tracked any mentions of CrashPlan yet. Tracking of CrashPlan 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 / 11 days ago
  • Top Programming Languages for AI Development in 2025
    Ideal For: Computer vision, NLP, deep learning, and machine learning. - Source: dev.to / 25 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 CrashPlan and OpenCV, you can also consider the following products

Backblaze - Backblaze's remote backup automatically backs up your data to our secure datacenter.

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

ManageWP - ManageWP is a service for bloggers, site owners and web based companies helping them manage multiple WordPress sites from one dashboard.

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

MiniTool Partition Wizard - As a partition magic alternative, Minitool Partition Wizard is the latest partition manager software which be used to manage partition on Windows 10/8/7/XP and Server 2003/2008/2012.

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

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