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Kodular VS NumPy

Compare Kodular VS NumPy and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Kodular logo Kodular

Much more than a modern app creator without coding

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Kodular Landing page
    Landing page //
    2023-01-29
  • NumPy Landing page
    Landing page //
    2023-05-13

Kodular videos

+ Add

Kodular Vs Other App Builders ! Facts online App Builder 🔥

More videos:

  • Review - Getting Started | Kodular Creator
  • Review - Must Know | Kodular AdSense terminated : New Rules New release #NewAdsSystem

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

Category Popularity

0-100% (relative to Kodular and NumPy)

Kodular

NumPy

Application Builder
100 100%
Application Builder
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
IDE
100 100%
IDE
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Kodular and NumPy. 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 Kodular and NumPy

Kodular Reviews

Top 5 App Builder To Build Your Own App Without Coding
This app builder will show ads in your app after Approval in Kodular. Getting Approval for ads in Kodular is hard. but don't worry. I had a trick to show ads without Approval in kodular. Just create an app and publish it in the play store. Ads will appear without Approval in kodular. This app builder contains all required components, and you can also import extensions in...
Source: www.neverspend.in
Thunkable Alternatives with Advanced Options [Easy App Building]
Kodular also offer prebuild plugins and other modules that you can utilize to create your apps. And these modules will help you to add more flexibility and functionality into your apps.
Source: www.howlooks.com

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

Social recommendations and mentions

Based on our record, NumPy seems to be more popular. It has been mentiond 112 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.

Kodular mentions (0)

We have not tracked any mentions of Kodular yet. Tracking of Kodular recommendations started around Mar 2021.

NumPy mentions (112)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 3 days ago
  • Documenting my pin collection with Segment Anything: Part 3
    NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 3 days ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 9 days ago
  • NumPy for Beginners: A Basic Guide to Get You Started
    This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 11 days ago
  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
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What are some alternatives?

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

Thunkable - Powerful but easy to use, drag-and-drop mobile app builder.

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

MIT App Inventor - App Inventor is a cloud-based tool, which means you can create apps for phones or tablets right in your web browser.

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

Bubble.io - Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products.

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

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