Software Alternatives, Accelerators & Startups

NumPy VS Thunkable

Compare NumPy VS Thunkable and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Thunkable logo Thunkable

Powerful but easy to use, drag-and-drop mobile app builder.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Thunkable Landing page
    Landing page //
    2023-10-23

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

Thunkable videos

What is Thunkable X?

More videos:

  • Review - Thunkable vs Kodular: Create Android and iOS Apps without Coding
  • Review - ProductHunt Review E8 (Reactful, Thunkable, Tster) by Cleveroad Inc

Category Popularity

0-100% (relative to NumPy and Thunkable)
Data Science And Machine Learning
Application Builder
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Mobile App Builder
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 NumPy and Thunkable

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

Thunkable Reviews

Top 5 App Builder To Build Your Own App Without Coding
In the Free Version of Thunkable, You can make a maximum of 10 posts with 200 MB of storage, Don't create a Good Project in the free version because Your project is available in public So that anyone can use it. If you want to create an app to publish your app on the play store, So please buy PRO subscriptions in Thunkable or Move to another app builder. Only you can...
33+ Best No Code Tools you will love 😍
With testing out Thunkable with a friend, it's a bit of s learning curve at first, but once you get used to the platform, there's a lot of potential to build awesome projects. What I do like that they have done is includes video tutorials (which is pulled in from their YouTube page) to understand specific features/tools to help build your app. Something I think more apps...
25 No-Code Apps and Tools to help build your next Startup
Thunkable is a powerful mobile app builder that requires no coding. It emphasizes speed and aesthetics. Its best feature is its functionality for advanced features.
Source: www.ishir.com
10 Best Android Studio Alternatives For App Development
Thunkable is a powerful drag and drops app builder. And this is made by two of the very first MIT engineers on the MIT app inventor. The platform is geared for the most professional users, who may want higher quality and robust apps for their business, community or just for themselves. Thus, Thunkable has an amazingly active and engaged community. And it also offers live...
Source: techdator.net
Thunkable Alternatives with Advanced Options [Easy App Building]
Thunkable is a famous app drag & drop App builder used for both Android & IOS Apps. But there are few complications Thunkable do not provide some advanced options to create Apps.

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Thunkable. While we know about 112 links to NumPy, we've tracked only 7 mentions of Thunkable. 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 (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 / 5 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 / 6 days ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 11 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 / 13 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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Thunkable mentions (7)

  • Am searching for a partner who can help me with an app idea
    OP you don't need to know coding at all to make app. Try something like App Inventor Thunkable. Source: over 1 year ago
  • Which mobile app builder no code will be the best in 2023?
    What do you think will be the best mobile app builder no code in 2023? a) Adalo b) Flutterflow c) Moxly d) Thunkable e) Glide 2. Why do you think that will be the case? 3. What are the benefits of using a mobile app builder no code? 4. Do you have any experience using a mobile app builder no code? If so, what was your experience like? 5. Do you think more people will start using mobile app builders no... Source: over 1 year ago
  • Best No-Code App Builder For 2022
    Thunkable is a no-code tool designed specifically for building native mobile apps. Features include drag-and-drop components, advanced logic, native mobile app functionality, and easy publication. Thunkable apps can be directly published from the platform to the Apple App Store, Google Play Store, or the web. Source: over 2 years ago
  • How do I make an app?
    I had ideas to build an app, and made few 2 years ago or so. Indeed these technologies are great to start with. I would suggest going with Kodular.io or thunkable.com instead of appinventor. There are many pros of using these, cuz I've personally used them to build stuff I can say go with either of the two. They are completely free to start with. Source: almost 3 years ago
  • Best No-Code Tool For Social Platform and APIs
    For the app maybe you could use something like https://thunkable.com/. Perhaps you could try something like https://firebase.google.com/ for the backend not sure if it is to technical, not used either of the tools myself. Source: almost 3 years ago
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What are some alternatives?

When comparing NumPy and Thunkable, 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.

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

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

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.

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

Kodular - Much more than a modern app creator without coding