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NumPy VS PicWish

Compare NumPy VS PicWish and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

PicWish logo PicWish

Remove image background automatically with ease. You will get a transparent background in 3 seconds. Totally free!
  • NumPy Landing page
    Landing page //
    2023-05-13
  • PicWish Landing page
    Landing page //
    2023-09-08

Totally free online background remover, create a transparent background for any image easily.

PicWish

$ Details
-
Platforms
Windows iOS Android Web
Release Date
2021 September

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.

PicWish features and specs

  • User-Friendly Interface
    PicWish offers an intuitive and easily navigable user interface that is suitable for both beginners and advanced users.
  • Variety of Editing Tools
    The platform provides a wide range of photo editing tools, including background removal, color adjustment, and more, catering to different editing needs.
  • AI-Powered Features
    PicWish utilizes advanced AI to automate complex tasks like background removal and object detection, saving time and enhancing accuracy.
  • Affordable Pricing
    PicWish offers a variety of pricing plans, including affordable options that cater to both individual users and businesses.
  • Cross-Platform Availability
    The service is available on multiple platforms, including web, mobile, and desktop applications, allowing for flexibility in how users choose to edit their photos.

Possible disadvantages of PicWish

  • Limited Advanced Features
    While suitable for basic and intermediate editing, PicWish might lack some advanced features that professional photographers and designers require.
  • Subscription Model
    The recurring subscription costs may not be ideal for users who prefer a one-time payment model for software.
  • Dependency on Internet Connection
    The web-based nature of PicWish means users need a stable internet connection to access all features, which could be a limitation for those in areas with poor connectivity.
  • Privacy Concerns
    As with any cloud-based service, there could be concerns about data privacy and the security of uploaded images.
  • Performance Variability
    AI-powered features may occasionally produce inconsistent results, depending on the complexity of the task and the quality of the input photo.

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

PicWish videos

How to Remove Background online from Picture for Free with PicWish

More videos:

  • Review - أفضل طريقة لإزالة الخلفية من أي صورة - Picwish
  • Review - طريقة ازالة العلامة المائية على الصور بسهولة Picwish

Category Popularity

0-100% (relative to NumPy and PicWish)
Data Science And Machine Learning
Photo Editing
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Photos & Graphics
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 PicWish

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

PicWish Reviews

10 Best AI Background Removers for Flawless Edits in 2023
Beyond just erasing backgrounds, thet tool offers a wide range of special effects and filters to transform your images into captivating visuals. What sets it apart is its exceptional ability to let users add distinctive touches to their background images, encouraging creative enhancement and artistic experimentation. Step into the imaginative realm of editing with PicWish.
Source: picofme.io
Compress JPEG to 200 KB- 5 Best Free Image Compression Tools
PicWish is also a good choice if you want more alternative compressors. It allows you to permanently compress files to 200KB or less. In addition to the compression function, the tool can also provide image enlargement and optimization functions. Image compression steps are as follows:
4 Great Tools that Can Remove Text from image
PicWish is the first solution described in this article to remove text from photos. With removal tools, including the Brush Tool, Rectangle Tool, and Lasso Tool, you can eliminate any unwanted elements. This online service is completely free. If you want to remove text from an image, PicWish does it for you quickly.

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than PicWish. While we know about 119 links to NumPy, we've tracked only 4 mentions of PicWish. 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

PicWish mentions (4)

  • John Oliver showing Oceangate how a real underwater mission is done.
    Have a good trip Jhon Olivier. 👌👌 The photo can be enhanced with PicWish. Source: almost 2 years ago
  • Here’s a list of free platforms you need for your next project (Part-2)
    PichWish - AI-powered free background removal tool. Source: over 2 years ago
  • PicWish - Background Remover
    If you are looking for a better yet simple background remover then you can use PicWish, it is an all in one background eraser wherein you can easily remove the background of your photo in just a seconds. Plus, it consists of an AI enhancement function wherein it can quickly separate the background on photos with ease. You can use this tool in different ways such as for E-commerce, presentation, slideshow, and a... Source: over 2 years ago
  • Kowai is a goat for this
    If 1 & 2 option doesn't work for you it can be that your phone is a low resolution. You can either use this site to sharpen it or pick option 3 and use this site to decode your qr code for the url. Copypaste the url in the program. Source: almost 3 years ago

What are some alternatives?

When comparing NumPy and PicWish, 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.

PhotoRoom - Create studio-quality product pictures in seconds.

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

remove.bg - Remove the background of any image 100% automatically

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

Removal.ai - Create transparent background for any image using Removal.ai - The fastest, easy-to-use & free tool to automatically remove backgrounds online.