Software Alternatives, Accelerators & Startups

Affinity Photo VS NumPy

Compare Affinity Photo VS NumPy and see what are their differences

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.

Affinity Photo logo Affinity Photo

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

NumPy logo NumPy

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

Affinity Photo features and specs

  • Cost-effective
    Affinity Photo is available for a one-time purchase at a relatively low cost compared to the subscription model of Adobe Photoshop, making it a more affordable option in the long run.
  • Advanced Tools
    The software offers a wide range of advanced photo editing tools, including layer support, RAW editing, HDR merging, panorama stitching, and digital painting capabilities.
  • Non-Destructive Editing
    Affinity Photo allows for non-destructive editing with its powerful layers and mask features, ensuring that the original image remains unaltered.
  • Cross-Platform Availability
    Available on both macOS, Windows, and iPad, it provides a seamless experience across different devices, allowing users to work on their projects anywhere.
  • Performance
    Affinity Photo is optimized for high performance and can handle large files and complex edits without significant slowdowns, leveraging modern hardware capabilities effectively.
  • User Interface
    The user interface is modern, clean, and highly customizable, allowing users to tailor their workspace to their needs.

Possible disadvantages of Affinity Photo

  • Learning Curve
    New users might face a steep learning curve due to the abundance of features and tools, which can be overwhelming for beginners who are not familiar with photo editing software.
  • Limited Plugin Support
    Affinity Photo has limited third-party plugin support compared to Adobe Photoshop, which means fewer external resources and extensions are available.
  • Less Industry Adoption
    Despite its powerful features, Affinity Photo is less widely adopted in professional industries compared to Adobe Photoshop, which might pose challenges for collaborative work or standardizing workflows.
  • Compatibility Issues
    There can be compatibility issues with some Adobe Photoshop files (PSD), especially those that use complex or newer features, leading to potential difficulties in opening or converting files.
  • Mobile App Limitations
    While the iPad version of Affinity Photo is powerful, it does not offer all the features of the desktop version and might be less suitable for very demanding tasks.

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.

Affinity Photo videos

Affinity Photo | Hands on Review | Photography, Graphic Design, Web Design, Software

More videos:

  • Review - AFFINITY PHOTO vs PHOTOSHOP 📷 How great is the 50$ Software?
  • Review - Affinity Photo Review (2018) - The #1 Photoshop Alternative

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 Affinity Photo and NumPy)
Image Editing
100 100%
0% 0
Data Science And Machine Learning
Graphic Design Software
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

Share your experience with using Affinity Photo 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 Affinity Photo and NumPy

Affinity Photo Reviews

10 Best Photopea Software Alternatives in 2024 (Free & Paid)
Creative pros can easily edit photos with Affinity Photo software, one of the best Photopea software alternatives. Photographers can make pictures, add copyright information to keep them safe, change small details, and combine HDR pictures. It offers real-time editing and supports large image files without slowing down. The software also provides extensive RAW editing...
Best Photo Editing Software for Mac: 5 Pro Alternatives to Adobe
Affinity Photo is a powerful and affordable alternative to Adobe Photoshop for Mac users. It offers a wide range of features and excellent performance, with a one-time purchase model and deep integration into the Apple ecosystem.
Best Adobe Photoshop alternatives of 2024
Affinity Photo, from Serif, is positively packed with professional tools that make it a genuine rival to Photoshop for both Windows and macOS. There’s also a tablet version if you're looking for one of the best Photoshop alternatives on iPad. But best of all, there are no endless subscriptions, just a one-off cost, making it ideal when working to a budget.
Our 6 Favorite Free Photoshop Alternatives (2022 Update)
Affinity Photo can be used as a complement to Affinity Designer and is especially suited for visual edits such as relighting scenes, dramatic post-processing to really make an image pop, and very simple to use but amazing looking filters and effects that can bring your image to the next level.
Affinity Alternative
But while the app has garnered much praise over its short lifespan, it has also been criticized by many for not having enough to differentiate it from other editors like Photoshop. However, Affinity Photo does have one key thing going for it, and that is its price, which is lower than the price of Photoshop. Combine that with an interface and set of controls that are similar...
Source: skylum.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.
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 should be more popular than Affinity Photo. 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.

Affinity Photo mentions (34)

View more

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 Affinity Photo 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.

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

Krita - Krita is a professional FREE and open source painting program. It is made by artists that want to seaffordable art tools for everyone. Concept art. texture and matte painters, illustrations and comics.

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