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NumPy VS Storyboard That

Compare NumPy VS Storyboard That and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Storyboard That logo Storyboard That

Storyboard That is the world's best online storyboard creator.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Storyboard That Landing page
    Landing page //
    2023-07-13

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.

Storyboard That features and specs

  • User-Friendly Interface
    Storyboard That offers a simple and intuitive drag-and-drop interface which makes it easy for users of all skill levels to create storyboards without extensive training.
  • Versatile Use Cases
    The platform supports a wide range of applications, including educational settings, professional presentations, marketing campaigns, and personal projects.
  • Rich Asset Library
    Storyboard That provides users with an extensive library of characters, scenes, and props that can be customized for detailed and creative storyboards.
  • Collaboration Features
    The platform allows for collaborative editing, making it easier for teams to work together on projects in real-time, enhancing productivity and creativity.
  • Integration and Export Options
    Users can export their storyboards in multiple formats (e.g., PDFs, PowerPoint), and integrate with tools like Google Classroom and Microsoft Teams, facilitating ease of sharing and presentation.

Possible disadvantages of Storyboard That

  • Subscription Cost
    While there is a free version available, advanced features and higher asset availability require a paid subscription, which can be a barrier for some users.
  • Limited Free Version
    The free version has restricted access to certain assets and features, which can limit the creative potential for users not willing or able to pay for premium access.
  • Learning Curve for Advanced Features
    While basic functionalities are easy to use, mastering advanced features may require some time and effort, which could be challenging for users seeking quick results.
  • Storage Limitations
    Free accounts and lower-tier subscriptions come with limited storage space, which can be restrictive for users working on multiple or large projects.
  • Browser Dependency
    As a web-based tool, Storyboard That requires an internet connection and may perform differently across various browsers, which could impact user experience.

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

Storyboard That videos

storyboard that review

More videos:

  • Review - Storyboard That, Tell Your Story in Style!
  • Review - A Review of Storyboard That

Category Popularity

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Data Science And Machine Learning
Online Services
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Data Science Tools
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Design Tools
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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 Storyboard That

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

Storyboard That Reviews

  1. Tina Hargaden
    · Principal Teacher at CI Liftoff ·
    I Use Storyboard That Every Day

    As a former classroom teacher of French and Spanish, English Language Arts, and Social Studies, my business now is creating resources for language teachers to tell stories and teach about culture, geography, history, and other content...in a language that may be quite new to the students. So, with that kind of work, you can bet I am always on the lookout for the best tools to visually scaffold the information so it is easier to understand through pictures, icons, and other design elements. I use Storyboard That almost every single day in my work on these materials. Since the resources are for (mostly) children and teens, I prefer a comic or cartoon-y style. Storyboard That is my go-to "character generator." I use it to make and pose characters into scenes and then I combine these groups of characters with Canva, to create PNGs that I then make into presentations for giving mini-lessons in class, texts for kids to read in class, etc. For me, Canva AND Storyboard That together are the perfect solution, and the price is right, for my purposes, as Pixton (which integrates directly with Canva) charges about $500 a year for the rights to replicate your work using their library for commercial purposes, whereas Storyboard That is only $12 or so a month, which includes that permission level for your original compositions. Pixton without that level of permission is about $40 a month, so you would need to think about what the integration of the two would be worth for you in terms of efficiency or the available images and effects in Pixton. For $144 a year, Storyboard That is an excellent option for me. And for free, you can create three active storyboards at a time, so you could potentially use it and never pay a dime.

    🏁 Competitors: Pixton
    👍 Pros:    Allows commercial use of your designs using their elements|Has a free option that allows you to make three active storyboards|Affordable price|Good range of racially-diverse characters
    👎 Cons:    Interface needs improvement|The dragging and clicking is often cumbersome for me.|No canva integration (pixton integrates with canva directly but costs substantially more)

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Storyboard That. While we know about 119 links to NumPy, we've tracked only 1 mention of Storyboard That. 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

Storyboard That mentions (1)

  • I want to learn to letter comics. Where do I start?
    If you're feeling overwhelmed, you can also use free comic book making software like storyboardthat.com. Source: almost 3 years ago

What are some alternatives?

When comparing NumPy and Storyboard That, 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.

Boords - Making storyboards can be fiddly.

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

Storyboarder - Storyboarder makes it easy to visualize a story as fast you can draw stick figures.

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

Pixton - Our goal at Pixton Comics is to enable everyone in the world to make comics.