Software Alternatives, Accelerators & Startups

NumPy VS Marq

Compare NumPy VS Marq and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Marq logo Marq

Marq (formerly Lucidpress) is a web-based design and layout application that enables anyone to create beautiful creatives
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Marq Landing page
    Landing page //
    2023-07-25

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.

Marq features and specs

  • User-Friendly Interface
    Lucidpress offers an intuitive drag-and-drop interface, making it easy for users without design experience to create professional-looking documents.
  • Cloud-Based
    Being a cloud-based application allows users to access their work from anywhere with an internet connection and ensures that all work is saved and backed up automatically.
  • Collaboration Features
    Lucidpress includes robust collaboration tools that allow multiple users to work on a document simultaneously, making it ideal for team projects.
  • Templates & Customization
    The platform provides a wide range of pre-designed templates and customization options, which can expedite the design process and ensure consistency.
  • Integration with Other Tools
    Lucidpress integrates well with other popular tools like Google Drive, Dropbox, and Slack, allowing for seamless workflow integration.

Possible disadvantages of Marq

  • Limited Free Version
    The free version of Lucidpress comes with significant limitations, including fewer templates and lower storage limits, which may necessitate purchasing a premium plan for full functionality.
  • Performance Issues
    Some users have reported performance issues, such as slow loading times or occasional lag, especially when handling large files or complex designs.
  • Learning Curve
    Despite its user-friendly interface, some advanced features can have a steep learning curve for new users who are not familiar with design software.
  • Cost
    The subscription costs for premium features can add up, making it a more expensive option compared to some other design tools available in the market.
  • Limited Advanced Features
    While suitable for most basic design tasks, Lucidpress may lack some advanced features that professional designers require, making it less suitable for highly technical or complex projects.

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

Marq videos

How Lucidpress works (in under 2 minutes)

More videos:

  • Review - Review: Using LucidPress in the Classroom
  • Review - Introduction to Lucidpress
  • Review - Garmin MARQ Athlete (Gen 2) Review: The Best Money Can Buy?
  • Review - Garmin MARQ Captain (Gen 2) Review: Sailor’s Delight
  • Review - Garmin Marq Gen 2 // The Best Garmin Watch You Can Get

Category Popularity

0-100% (relative to NumPy and Marq)
Data Science And Machine Learning
Design Tools
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Graphic Design Software
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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 Marq

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

Marq Reviews

12 Best Free PosterMyWall Alternatives and Competitors
Lucidpress (now Marq) is another online tool you can use to make brochures, flyers, newsletters, business cards, posters, magazines, and presentations on your computer when you are looking for PosterMyWall alternatives.
Source: mockey.ai
The Top 10 Alternatives to Marq in 2024
Lucidpress has received a rating of 4.4 out of 5 stars based on user reviews. Users generally mention the intuitive design and ease of use. Check out more Lucidpress reviews here.
Source: piktochart.com
10 Best Adobe Indesign Alternatives in 2025
Adobe InDesign remains the industry standard for desktop publishing, but there are numerous alternatives that can suit a variety of needs and budgets. Whether you're a freelance designer seeking affordability with Affinity Publisher or Scribus, a marketing team that needs a collaborative solution like Marq (formerly Lucidpress), or a creative professional looking for...
Source: www.appypie.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.

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 / 3 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 / 7 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

Marq mentions (0)

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

What are some alternatives?

When comparing NumPy and Marq, 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.

Canva - Canva is a graphic-design platform with a drag-and-drop interface to create print or visual content while providing templates, images, and fonts. Canva makes graphic design more straightforward and accessible regardless of skill level.

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

PicMonkey - PicMonkey is a feature-rich online photo editor that works right in your browser; no downloads...

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

Piktochart - Piktochart for Business Storytelling