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NumPy VS Minio

Compare NumPy VS Minio and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Minio logo Minio

Minio is an open-source minimal cloud storage server.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Minio Landing page
    Landing page //
    2023-09-25

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.

Minio features and specs

  • High Performance
    Minio is designed for high-performance object storage, providing fast read and write speeds and scalability for large-scale storage needs.
  • Open Source
    Being an open-source platform, Minio allows users to review, modify, and distribute its code, fostering transparency and collaboration within the community.
  • S3 Compatibility
    Minio offers S3 API compatibility, making it easier to integrate with existing applications and tools that are already designed to work with AWS S3.
  • Lightweight
    Minio is extremely lightweight and can be deployed on minimal hardware, making it an efficient option for edge computing and low-resource environments.
  • Multi-Cloud Support
    Minio supports a variety of cloud environments, allowing for flexibility and ease of data distribution across multiple cloud providers.
  • Strong Security
    Minio offers strong security features such as automatic encryption, Identity and Access Management (IAM), and compliance with enterprise-level security standards.

Possible disadvantages of Minio

  • Learning Curve
    For beginners, initial setup and configuration can be complex, requiring a certain level of technical expertise to deploy and manage effectively.
  • Limited Ecosystem
    Compared to AWS S3, Minio has a relatively smaller ecosystem of integrated tools and services, which could limit functionality or require additional development resources.
  • Community Support
    While there is a growing community around Minio, the support channels and community contributions are not as extensive as those for more established platforms like AWS.
  • Feature Parity
    Although Minio offers many similar features to AWS S3, there are still some advanced features and services in AWS that are not available in Minio.

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

Minio videos

+ Add

This is MinIO

More videos:

  • Review - A Review of MinIO's Performance Benchmarks
  • Review - MinIO Hardware Considerations

Category Popularity

0-100% (relative to NumPy and Minio)

NumPy

Minio

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

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Reviews

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

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

Minio Reviews

ReductStore vs. MinIO & InfluxDB on LTE Network: Who Really Wins the Speed Race?
Maintaining consistency between multiple databases, like MinIO and InfluxDB, adds a layer of complexity. In our setup, MinIO, used for blob storage, is linked to data points in InfluxDB via its filename. Any inconsistencies or mismatches between the two could potentially result in data loss. Furthermore, we need to query both databases, which is quite inefficient. Lastly,...
Source: www.reduct.store
Performance comparison: ReductStore vs. Minio
We often use blob storage like S3, if we need to store data of different formats and sizes somewhere in the cloud or in our internal storage. Minio is an S3 compatible storage which you can run on your private cloud, bare-metal server or even on an edge device. You can also adapt it to keep historical data as a time series of blobs. The most straightforward solution would be...
Source: www.reduct.store
Best & Cheapest Object Storage Providers With S-3 Support
MinIO supports many use cases for diverse settings and has been cloud-native from its inception. MinIO’s software-defined suite operates in public and private clouds smoothly at the edge and positions itself as a leader in hybrid cloud object storage.
Source: macpost.net
What are the alternatives to S3?
Zenko is an open source multi-cloud controller allowing users to be in control of data while leveraging the efficiency of private and public clouds. Zenko stores information locally and to Amazon S3, Azure Blob storage, Google Cloud Storage, or any S3-compatible cloud storage platform (Ceph, Minio, and more). Zenko, as described on the official website, is not a data mover,...
Source: www.w6d.io
Ceph Storage Platform Alternatives in 2022
MinIO leverages the hard won knowledge of the web scalers to bring a simple scaling model to object storage. At MinIO, scaling starts with a single cluster which can be federated with other MinIO clusters to create a global namespace, spanning multiple data centers if needed. It is one of the reasons that more than half the Fortune 500 runs MinIO.
Source: www.teimouri.net

Social recommendations and mentions

Minio might be a bit more popular than NumPy. We know about 167 links to it since March 2021 and only 119 links to NumPy. 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

Minio mentions (167)

  • OpenBSD Upgrade 7.6 to 7.7
    In addition, it also includes MariaDB update where "Binary logs are no longer purged by default unless a replica has connected", and minio update where "the MinIO Gateway and the related filesystem mode code have been removed". - Source: dev.to / 19 days ago
  • Hosting Services – The Short and Mid-Term Solution Before Transition to the Public Cloud
    Consume object storage – a hosting provider can deploy and maintain object storage services (such as Min.io), offering his customers to begin consuming storage capabilities that exist in cloud-native environments. - Source: dev.to / 3 months ago
  • When using an S3-compatible Object Storage, be cautious when upgrading **SDK for Java 2.x** to version **2.30.0 or later**
    Based on a rough check using o1 pro mode & Deep Search, MinIO supports it, but other storages do not. - Source: dev.to / 3 months ago
  • Gitlab names Bill Staples as new CEO
    You don't happen to work at Minio do you? Because apparently Minio is for AI these days: https://min.io/. - Source: Hacker News / 5 months ago
  • Minio integration with nestjs | file upload & retrieve
    What is minio? Minio is *free, open-source, scalable S3 compatible object storage. - Source: dev.to / 6 months ago
View more

What are some alternatives?

When comparing NumPy and Minio, 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.

Ceph - Ceph is a distributed object store and file system designed to provide excellent performance...

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

Google Cloud Storage - Google Cloud Storage offers developers and IT organizations durable and highly available object storage.

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

Azure Blob Storage - Use Azure Blob Storage to store all kinds of files. Azure hot, cool, and archive storage is reliable cloud object storage for unstructured data

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