Software Alternatives, Accelerators & Startups
Register | Login

Pixelmator VS NumPy

Compare Pixelmator VS NumPy and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Pixelmator logo Pixelmator

Pixelmator is an image-editing application for Mac and iPad.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Pixelmator Landing page
    Landing page //
    2023-10-21
  • NumPy Landing page
    Landing page //
    2023-05-13

Pixelmator features and specs

  • User-Friendly Interface
    Pixelmator Pro is designed with a clean and easy-to-use interface, making it accessible even for beginners while still being powerful enough for professionals.
  • Integration with macOS
    The software is built exclusively for macOS, allowing seamless integration with other Apple applications and services like iCloud, Photos, and AppleScript.
  • Affordability
    Pixelmator Pro is a one-time purchase, making it more affordable in the long run compared to subscription-based software like Adobe Photoshop.
  • Performance Optimization
    It takes advantage of the latest macOS technologies such as Metal, Core Image, and OpenGL, ensuring smoother performance and faster processing times.
  • AI-Powered Tools
    Pixelmator Pro includes a variety of AI-driven tools like ML Super Resolution, which enhances image quality using machine learning algorithms.

Possible disadvantages of Pixelmator

  • macOS Exclusivity
    Pixelmator Pro is only available for macOS, which limits its accessibility to users who are on Windows or other operating systems.
  • Learning Curve
    Despite its user-friendly interface, the software has a variety of advanced features that can require a learning curve to fully understand and utilize.
  • Limited Third-Party Integration
    Compared to industry-standard software like Adobe Photoshop, Pixelmator Pro has fewer integrations with third-party plugins and services.
  • No Vector Drawing Tools
    The software lacks comprehensive vector drawing tools, which can be a drawback for users who need robust vector graphic capabilities.
  • Feature Gaps
    While Pixelmator Pro covers a wide range of functionalities, it still lacks some advanced features and functionalities offered by competitors such as Adobe Photoshop.

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.

Pixelmator videos

+ Add

Pixelmator Photo 2019 for iPad - Full Guide & Review!

More videos:

  • Review - Pixelmator Photo Review
  • Review - Pixelmator Pro Review

NumPy videos

+ Add

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 Pixelmator and NumPy)

Pixelmator

NumPy

Image Editing
100 100%
Image Editing
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Graphic Design Software
100 100%
Graphic Design Software
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Pixelmator and NumPy. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Pixelmator Reviews

10 Best Photopea Software Alternatives in 2024 (Free & Paid)
Pixelmator Pro is one of the best Photopea alternatives for macOS that lets businesses change, improve, and tailor pictures using tools, colors, and workspaces. It comes with pre-made shapes like circles, speech bubbles, lines, and stars that designers can use to finish their work. It supports non-destructive editing, meaning you can make changes without altering the...
Source: www.geeksforgeeks.org
Best Photo Editing Software for Mac: 5 Pro Alternatives to Adobe
Leveraging Apple Tech: Pixelmator Pro is built from the ground up for macOS. It deeply integrates with core technologies like Metal (for graphics acceleration), Core ML (for machine learning), improving performance and responsiveness.
Source: www.strivingspace.com
Affinity Alternative
Pixelmator Pro, like Photolemur, boasts machine learning to make photo editing quick and easy. In addition, it contains many advanced editing tools as well as a fresh workflow that’s bound to attract many users.
Source: skylum.com
We tested 4 photo editing alternatives to Photoshop
Next up was Pixelmator, a slick OSX app with a pleasingly unslick $29.99 price point. To test Pixelmator we gave Max a copy of the Stone Roses’ eponymously titled 1989 album ‘The Stone Roses‘. With it’s distinctive cover art by Roses’ guitarist John Squire, ‘The Stone Roses’ should pose a worthy challenge to Pixelmator.
Source: diginate.com
12 Best Free Photoshop Alternatives You Should Try
Pixelmator is a macOS only photo editing tool that brings with it a ton of Photoshop like features and tools, and it also supports some of the latest features that Apple has brought to macOS such as editing and exporting images stored in the High Efficiency Image File format. There are the usual features like support for layers and blending modes, a plethora of tools to use...
Source: beebom.com

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.
Source: www.analyticsvidhya.com
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 119 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.

Pixelmator mentions (0)

We have not tracked any mentions of Pixelmator yet. Tracking of Pixelmator recommendations started around Mar 2021.

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

What are some alternatives?

When comparing Pixelmator and NumPy, you can also consider the following products

Adobe Photoshop - Adobe Photoshop is a webtop application for editing images and photos online.

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

GIMP - GIMP is a multiplatform photo manipulation tool.

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

Affinity Photo - Affinity is the imaging and design suite for creative professionals exclusively for Mac.

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

Loading...