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NumPy VS Wasabi Cloud Object Storage

Compare NumPy VS Wasabi Cloud Object Storage and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Wasabi Cloud Object Storage logo Wasabi Cloud Object Storage

Storage made simple. Faster than Amazon's S3. Less expensive than Glacier.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Wasabi Cloud Object Storage Landing page
    Landing page //
    2025-04-16

Wasabi Hot Cloud Storage is a scalable, cloud-based object storage service for various applications. It allows storing any type of data in any format, offering high-performance, reliability, and security at a minimal cost. Ideal for individuals and organizations seeking affordable, dependable data storage, Wasabi provides a highly durable and fault-tolerant infrastructure, ensuring data is always accessible and protected. With features like immutable buckets, versioning, and encryption, Wasabi ensures data integrity and security, making it a trusted choice for businesses and individuals alike.

NumPy

Website
numpy.org
Pricing URL
-
$ Details
Release Date
-
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Wasabi Cloud Object Storage

Website
wasabi.com
Pricing URL
Official Wasabi Cloud Object Storage Pricing
$ Details
-
Release Date
2015 January
Startup details
Country
United States
State
Massachusetts
City
Boston
Founder(s)
David Friend
Employees
100 - 249
Edit details

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Wasabi Cloud Object Storage features and specs

  • Cost-Effective
    Wasabi offers competitive pricing for cloud storage without any hidden fees, making it a cost-effective option for businesses of all sizes.
  • High Performance
    Wasabi provides high-speed data retrieval and upload, which is ideal for applications requiring fast access to stored data.
  • Simple Pricing Model
    There are no fees for egress or API requests, which simplifies budgeting and cost management.
  • Scalability
    Wasabi's storage solutions can scale to meet the needs of growing businesses, providing flexibility as data storage requirements increase.
  • Security
    Wasabi offers strong security features, including data encryption both in transit and at rest, ensuring the safety of stored data.
  • S3 Compatibility
    Wasabi's storage service is compatible with the Amazon S3 API, making it easier for users to integrate with existing tools and workflows.

Possible disadvantages of Wasabi Cloud Object Storage

  • Limited Services
    Compared to larger cloud providers like AWS or Google Cloud, Wasabi focuses primarily on storage and offers fewer ancillary services and features.
  • Geographical Availability
    Wasabi has fewer data center locations worldwide compared to major competitors, which might impact performance for users in certain regions.
  • Customer Support
    While Wasabi offers customer support, it may not be as comprehensive or as responsive as the support provided by larger cloud service providers.
  • Ecosystem Integration
    Although it supports S3 compatibility, Wasabi might not integrate as seamlessly with other cloud ecosystem services beyond storage.
  • No Free Tier
    Unlike some competitors, Wasabi does not offer a free tier for basic storage needs, which could be a drawback for small businesses or startups.

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Wasabi Cloud Object Storage videos

+ Add

Introduction to Wasabi Hot Cloud Storage

More videos:

  • Review - Introduction to Wasabi Hot Cloud Storage (August 2021) | Wasabi

Category Popularity

0-100% (relative to NumPy and Wasabi Cloud Object Storage)

NumPy

Wasabi Cloud Object Storage

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Cloud Storage
0 0%
Cloud Storage
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100

User comments

Share your experience with using NumPy and Wasabi Cloud Object Storage. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare NumPy and Wasabi Cloud Object Storage

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Wasabi Cloud Object Storage Reviews

7 Best Amazon S3 Alternatives & Competitors in 2024
Wasabi hot storage differentiates itself against industry giants like Amazon S3 by offering storage that’s six times faster and up to 80% cheaper.
Source: diggitymarketing.com
Wasabi, Storj, Backblaze et al, are promising 80%+ savings compared to Amazon S3... What's the catch?
On the surface, Wasabi looks appealing with a simple pricing structure ($5.99/TB/mo) that comes with free egress and free operations. How can Wasabi afford this, you ask? Well, their business model relies on their user-base keeping their data stored (and unchanged) for some time and not consuming more than their fair share of resources, which they regulate via a handful of...
Source: dev.to

Social recommendations and mentions

Based on our record, NumPy should be more popular than Wasabi Cloud Object Storage. It has been mentiond 119 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.

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 8 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months ago
View more

Wasabi Cloud Object Storage mentions (70)

  • Using ColdFusion to Generate Pre-Signed Wasabi Download URL
    There was an internal decision to use Wasabi Cloud Storage instead of Amazon S3 and I needed to use ColdFusion to generate a pre-signed URL to allow access to AI-generated content for a limited time. I had used the Sv4Util.cfc and aws-cfml libraries before with Amazon and thought it was just as simple, but I got confused somewhere along the way and it just wasn't working. - Source: dev.to / 2 months ago
  • How much 1 TB of egress costs by cloud provider
    This table is missing Wasabi [0], which has free egress. [0]: https://wasabi.com. - Source: Hacker News / over 1 year ago
  • What makes backblaze better than some of the other options out there?
    Backblaze is great because it's a set price, unlimited, and I don't have to think twice about it. I use Arq to backup my machine + external drives (several drives with lots of photos) to my local NAS. Was sending data to Wasabi, but the costs got out of control. I can purchase a year's worth of Backblaze + the 1 year revision upgrade for much, much less of what I was paying at Wasabi. Source: almost 2 years ago
  • The NixOS Foundation’s Call to Action: S3 Costs Require Community Support
    What about looking at Wasabi? It’s $5.99 per TB per month https://wasabi.com. - Source: Hacker News / almost 2 years ago
  • A web application that will need to store lots of image files. The company wants to use Dropbox for image storage. Is this okay?
    No, use AWS S3 or https://wasabi.com/ if you are worried about cost. Source: almost 2 years ago
View more

What are some alternatives?

When comparing NumPy and Wasabi Cloud Object Storage, you can also consider the following products

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

Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.

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

Contabo Object Storage - S3-compatible cloud object storage with unlimited, free transfer at a fraction of what others charge. Easy migration & predictable billing. Sign up now & save.

OpenCV - OpenCV is the world's biggest computer vision library

Hetzner Object Storage - Scalable object storage, S3-compatible and ideal for growing data volumes. Secure and flexible for efficient data storage.

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