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1min.AI VS NumPy

Compare 1min.AI VS NumPy and see what are their differences

1min.AI logo 1min.AI

🔮 All-in-one AI app. Try for Free - Get what you want within 1min.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • 1min.AI Homepage
    Homepage //
    2024-01-21
  • 1min.AI Chat with various AI models at the same time
    Chat with various AI models at the same time //
    2024-01-21
  • 1min.AI Images Generation
    Images Generation //
    2024-01-21
  • 1min.AI Images Variation
    Images Variation //
    2024-01-21
  • 1min.AI Images Upscaling
    Images Upscaling //
    2024-01-21
  • 1min.AI Images Editing
    Images Editing //
    2024-01-21
  • 1min.AI Audio Transcription
    Audio Transcription //
    2024-01-21
  • 1min.AI Audio Translation
    Audio Translation //
    2024-01-21
  • 1min.AI Text to Speech
    Text to Speech //
    2024-01-21

🔮 1min.AI is an all-in-one AI app that unlock all AI features. You pay only for what you use at 1min.AI, with no hidden costs or setup required elsewhere.

  • NumPy Landing page
    Landing page //
    2023-05-13

1min.AI

Website
1min.ai
$ Details
freemium $5.0 / Monthly (Pro Plan for annual billing)
Platforms
Web Mobile Android iOS Windows MacOS
Release Date
2024 January

1min.AI features and specs

  • Chat with multiple AI models simultaneously: GPT-4, GPT-3.5 from OpenAI; ClaudeAI from Anthropic; Gemini, PaLM from GoogleAI
  • Generate images: Midjourney, DALL-E (OpenAI), and Stable Diffusion (StabilityAI)
  • Upscale images: Stable Diffusion (StabilityAI)
  • Generate similar images: DALL-E (OpenAI) and Stable Diffusion (StabilityAI)
  • Edit images: DALL-E (OpenAI) and Stable Diffusion (StabilityAI)
  • Transcribe audio : Whisper (OpenAI)
  • Translate audio : Whisper (OpenAI)
  • Convert text to speech: TTS (OpenAI)

NumPy features and specs

No features have been listed yet.

1min.AI 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 1min.AI and NumPy)
AI
100 100%
0% 0
Data Science And Machine Learning
AI Writing
100 100%
0% 0
Data Science Tools
0 0%
100% 100

Questions and Answers

As answered by people managing 1min.AI and NumPy.

What makes your product unique?

1min.AI's answer

1min.AI is an all-in-one AI app that offers a variety of AI features powered by various AI models

Why should a person choose your product over its competitors?

1min.AI's answer

Many features. Various AI models. Reasonable price.

How would you describe your primary audience?

1min.AI's answer

People who want to utilize the power of various AI models

What's the story behind your product?

1min.AI's answer

The AI revolution has recently been robust. we've noticed many AI products that provide a single feature or use just one AI model. However, we cannot fully utilize AI's power by sticking to only one option.

Therefore, we aim to build an all-in-one AI app that centralizes everything in one place, utilizes various AI models, and offers more cost savings.

Which are the primary technologies used for building your product?

1min.AI's answer

ReactJS, NodeJS, MySQL, Kubernetes, AWS

Who are some of the biggest customers of your product?

1min.AI's answer

1min.AI has recently launched, and we haven't yet acquired any major customers.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare 1min.AI and NumPy

1min.AI 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 seems to be more popular. It has been mentiond 111 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.

1min.AI mentions (0)

We have not tracked any mentions of 1min.AI yet. Tracking of 1min.AI recommendations started around Jan 2024.

NumPy mentions (111)

  • 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 / 10 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
  • 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 / 3 months ago
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What are some alternatives?

When comparing 1min.AI and NumPy, you can also consider the following products

Chatgot - Chat freely, got every AI assistants here for You

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

Writesonic - If you’ve ever been stuck for words or experienced writer’s block when it comes to coming up with copy, you know how frustrating it is.

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

Krater.ai - All AI Tools, One Location.

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