Software Alternatives, Accelerators & Startups

NumPy VS InVideo.io

Compare NumPy VS InVideo.io and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

InVideo.io logo InVideo.io

Create thumb-stopping videos in mins for just $10/month even if you've never edited a video before!
  • NumPy Landing page
    Landing page //
    2023-05-13
  • InVideo.io Landing page
    Landing page //
    2023-10-19

InVideo is the world's most loved video creation platform trusted by more than 400,000 users across more than 160 countries. It'll enable you to create thumb-stopping videos in mins even if you've never edited a video before for as low as $10/month.

InVideo.io

Website
invideo.io
$ Details
paid Free Trial $20.0 / Monthly (60 unique video exports a month, unlimited users, all access)
Platforms
Browser
Release Date
2017 January

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.

InVideo.io features and specs

  • Templates
    4000+
  • Media library
    1M+ royalty-free images and video clips
  • 24/7 Support
  • Voiceover
  • Auto Text-to-speech
  • Video editor
  • Video and audio timelines

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

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

InVideo.io videos

InVideo: Create thumb-stopping videos in mins!

More videos:

  • Tutorial - InVideo: Create thumb-stopping videos in mins!

Category Popularity

0-100% (relative to NumPy and InVideo.io)
Data Science And Machine Learning
Video
0 0%
100% 100
Data Science Tools
100 100%
0% 0
AI
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 InVideo.io

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

InVideo.io Reviews

  1. I love InVideo!

    I love Invideo! It's the best video generator I've ever used. The ai is amazing and the videos are so realistic. The price is great, too! I definitely recommend this product to anyone looking for an easy way to create videos.


Top Free Faceless Video Generator Tools Without Watermark (2025)
Why it stands out:InVideo AI helps you build full-length faceless videos for YouTube or presentations. It offers rich customization, which is rare in free tools.
Source: videobytes.ai
7 Best Sora Alternatives for AI Video Generation in 2025
The landscape of AI video generators in 2025 is rich with options. While Sora remains a trailblazer in text-driven video quality, each of these seven alternatives offers unique strengths. Some focus on ease of use and ready-made content (like InVideo and Pictory), others push the envelope of generative visuals (Runway and Dream Machine), and some cater to specialized needs...
Source: dreamona.ai
Top 10 Best Animoto Alternatives For Stunning Video Creation
Invideo is a great online vide­o maker with many templates and e­ffects. Its user-friendly tools make­ it easy to customize videos how you want. If you’re­ creating social media content or making films, Invide­o works for your needs. Advanced e­diting meets simple use­ – Invideo has it all for pros and beginners.
Source: sharetool.net
Top 6 Alternatives to Animoto to Create Videos Online
InVideo is another alternative to Animoto to make videos online. This service gives users numerous video templates that are well-organized by categories like intros, video ads, slideshows, video collages, and more. You can filter these templates by aspect ratio.
Top 10 AI Video Generators to Use in 2023
InVideo is a powerful AI video creator that excels at generating marketing and explainer videos for businesses at the input of text. This AI video tool is not inferior to Synthesia at all. With this tool, you just need to state the project you are working on alongside a few details, and in minutes, you have a video.

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than InVideo.io. While we know about 119 links to NumPy, we've tracked only 4 mentions of InVideo.io. 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 / 5 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 / 9 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 / 9 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 / 10 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 / 10 months ago
View more

InVideo.io mentions (4)

  • Help on making demo videos
    You can try invideo.io - we have used and found it super nice. Source: over 1 year ago
  • Show HN: I Made a Final Cut for Windows
    Thanks for sharing! To give you a bit of background -- I'm not trying to compete with Resolve. I'm not targeting experts, but instead targeting beginners and intermediate people when it comes to video editing. And I do offer quite a few features, and my main focus has been on speed from the get go (for instance, Instant Preview everywhere, which as far as I know is only present in Final Cut and nowhere else).... - Source: Hacker News / over 3 years ago
  • Should I get more ram?
    If you are to make videos with DaVinci, I would say it is enough with 8GB Ram, but I agree... If you can afford it, buy the 16GB Ram. But let me tell you about something VERY NICE. invideo.io. AI-technology gives you superpowers, and is SO EASY to operate ONLINE! Check this out! That could keep you at the 8GB version forever. You pick. Good luck! Source: about 4 years ago
  • resources for music video creation?
    I've also used https://invideo.io/ to add text & graphics to the finished video (i.e., Swipe Up, Spotify logo, etc). It's good for creating videos for IG stories. Source: over 4 years ago

What are some alternatives?

When comparing NumPy and InVideo.io, 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.

Adobe Premiere Pro - Edit video faster than ever before with the powerful, more connected Adobe Premiere® Pro CC.

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

revid.ai - Create short videos, fast. The all-in-one TikTok growth tool.

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

Filmora - Filmora is a trusted, legacy video editing platform that's strong in the fundamentals but lacks some of the bells and whistles that come with some other video editing software.