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CrateIO VS NumPy

Compare CrateIO VS NumPy and see what are their differences

CrateIO logo CrateIO

The Distributed Database for Docker

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • CrateIO Landing page
    Landing page //
    2023-09-17
  • NumPy Landing page
    Landing page //
    2023-05-13

CrateIO videos

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NumPy videos

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

Category Popularity

0-100% (relative to CrateIO and NumPy)
Databases
100 100%
0% 0
Data Science And Machine Learning
Relational Databases
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 CrateIO and NumPy

CrateIO Reviews

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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.
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

Social recommendations and mentions

Based on our record, NumPy should be more popular than CrateIO. It has been mentiond 107 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.

CrateIO mentions (12)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    CrateDB - Distributed Open Source SQL database for real-time analytics. Free Tier CRFREE: One-node with 2 CPUs, 2 GiB of memory, 8 GiB of storage. One cluster per organization, no payment method needed. - Source: dev.to / 3 months ago
  • varpro 0.6: Fast and Simple Nonlinear Fitting
    Not necessarily argmin{}, but it appears as one of top download in crate.io. Again, that's just a suggestion. VarPar seems like a subset of bigger "optimization", but I might be wrong. I am not affiliated to argmin{} at all. I am still learning argmin{} and have not even get my first optimization to run properly. Do I want to learn new workflow again ... hmm.. A search in crate.io for "optimization" yield tons... Source: about 1 year ago
  • A good, fast hash for nucleotides triplet converted to 0, 1, 3, 2 using `3 & (nuc << 1)`
    I really, really don't understand what the big deal with Rust is. I like to call Rust "LLVM's Python". It's a language for people who don't know how to debug segfaults lol. This is coming from me a person who loves Rust, despite all its faults, I believe if used as a low-level language, it can flourish to hell and back. But if you are going to use it as a webframework and load dozens of crate.io libraries on it,... Source: about 1 year ago
  • Unable to compile rand_core
    There's 3 more errors that amount to the same thing. So I run cargo update. Same result. Explicitly tried to update cfg-if then rand_core with --verbose and --aggressive. No output beyond "updating crate.io index." Checked in browser for updates. cfg-if had no new versions since 2018. Then I tried using cargo clean first. Same result. Source: about 1 year ago
  • Stop Comparing Rust to Old C++
    However, I do say that my general points still holds: most user's composing their types will get the right defaults and if they need anything more exotic, the users and domain specialist can very easy coordinate via crate.io . Source: over 1 year ago
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NumPy mentions (107)

  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 2 months ago
  • JSON in data science projects: tips & tricks
    Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 2 months ago
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
  • A Comprehensive Guide to NumPy Arrays
    Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 7 months ago
  • Beginning Python: Project Management With PDM
    A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago
View more

What are some alternatives?

When comparing CrateIO and NumPy, you can also consider the following products

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

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

Percona - Percona delivers software, support, consulting and managed services for both MySQL and MongoDB across traditional and cloud-based platforms.

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

MySQL - The world's most popular open source database

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