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NumPy VS AdminMart

Compare NumPy VS AdminMart and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

AdminMart logo AdminMart

Developer friendly admin dashboard templates. Built on top frameworks like Next.js, Nuxt.js, React, Bootstrap, Vue.js, Angular, and Tailwind CSS, our collection offers the perfect foundation for your next project.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • AdminMart
    Image date //
    2024-10-09
  • AdminMart Modernize_admin_template_Cover
    Modernize_admin_template_Cover //
    2024-08-13
  • AdminMart Modernize NextJS Admin Template cover
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    2024-08-13
  • AdminMart Modernize Nuxt JS Admin Template cover
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    2024-08-13
  • AdminMart Modernize React Admin Template cover
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    2024-08-13
  • AdminMart Modernize Vue JS Admin Template cover
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  • AdminMart Modernize Angular Admin Template cover
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  • AdminMart Modernize TailwindCSS Admin Template cover
    Modernize TailwindCSS Admin Template cover //
    2024-08-13
  • AdminMart Modernize_Admin_Dashboard_Template_Designs
    Modernize_Admin_Dashboard_Template_Designs //
    2024-08-13

With over 201,801 happy developers & trusted by 20,000+ Companies! Admin templates built on latest frameworks & libraries. Designed to streamline data management, the dashboard prioritizes user experience and efficiency while maintaining a sleek and professional aesthetic.

AdminMart

$ Details
free $29.0 / One-off
Platforms
ReactJS Angular Bootstrap Vuejs NextJS NuxtJS Vuetify TailwindCSS HTML
Release Date
2019 January
Startup details
Country
India
State
Gujarat
City
Ahmedabad
Founder(s)
Sunil Joshi, Nirav Joshi
Employees
20 - 49

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.

AdminMart features and specs

  • 100% Moneyback guarantee
    We guarantee 100% satisfaction with our quality products and strong support service.
  • Faster & Professional Support
    Our support team is fast and unmatchable because the customers are our priority.
  • Try before Buy
    We offer free demo version for you to download and test before you purchase pro version.
  • 100,000+ satisfied customers
    Most trusted in the Industry Of Admin Dashboard Template

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

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

AdminMart videos

AdminMart Teaser

More videos:

  • Tutorial - Get Started with our Bootstrap Admin Dashboard Template Installation Guide
  • Tutorial - How to Get Started with our NuxtJs Dashbiard Template? | AdminMart's NuxtJsTemplate
  • Tutorial - How to Get Started with our NextJs Dashboard Template? | AdminMart's NextJsTemplate
  • Tutorial - How to Get Started with our Angular Dashboard Template? | AdminMart's Angular Admin Template
  • Review - AdminMart: Free Bootstrap 4 HTML5 Admin Dashboard Website Template

Category Popularity

0-100% (relative to NumPy and AdminMart)
Data Science And Machine Learning
Developer Tools
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Admin Template
0 0%
100% 100

Questions & Answers

As answered by people managing NumPy and AdminMart.

Who are some of the biggest customers of your product?

AdminMart's answer:

Fortune 500 agencies trust our templates Like Capegini, Intel, Oracle, Dell, Infosys.

How would you describe the primary audience of your product?

AdminMart's answer:

AdminMart's primary audience includes developers, startups, project managers, and web development professionals who seek modern, efficient admin template solutions for their projects.

What makes your product unique?

AdminMart's answer:

AdminMart is unique in that it is a modern admin template on the internet.

Why should a person choose your product over its competitors?

AdminMart's answer:

Developers should choose AdminMart over its competitors because it offers developer-friendly components and is well-coded. This suggests that AdminMart prioritizes ease of use for developers, potentially saving time and reducing frustration during implementation.

What's the story behind your product?

AdminMart's answer:

AdminMart's design philosophy, or particular modern elements that make it stand out.

Which are the primary technologies used for building your product?

AdminMart's answer:

Built on top frameworks like Next.js, Nuxt.js, React, Bootstrap, Vue.js, Angular, and Tailwind CSS, our collection offers diverse options to kickstart your project.

User comments

Share your experience with using NumPy and AdminMart. For example, how are they different and which one is better?
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Reviews

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

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

AdminMart Reviews

  1. sanjayjoshi
    ยท Working at wrappixel ยท
    Peace of mind knowing Admin Templates is regularly updated with the latest security patches.

    Wish I discovered Admin Template sooner! It's become an essential part of our development team.

    ๐Ÿ Competitors: Wrappixel, Creative Tim, AdminLTE
  2. mayuri_parmar4
    ยท search engine optimization at wrappixel ยท

    The site features both free and premium templates, built on various frameworks like Next.js, Nuxt.js, React, Angular, Vue.js, and Bootstrap, along with utility-first designs using Tailwind CSS.

    ๐Ÿ Competitors: Creative Tim, Wrappixel, ThemeSelection

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than AdminMart. While we know about 122 links to NumPy, we've tracked only 2 mentions of AdminMart. 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 (122)

View more

AdminMart mentions (2)

  • Why I Built This Open Source Shadcn Tool After 15 Years of Building Templates
    For the past 15 years, Iโ€™ve built web templates, dashboards, components, and figma ui kits. Through products like Wrappixel, AdminMart, Tailwindadmin, and Get Nextjs Templates, weโ€™ve worked on hundreds of layouts across famous frameworks and UI libraries. - Source: dev.to / 5 months ago
  • Flowbite React vs. Shadcn: Which UI Library Should You Choose for Your React Project?
    And remember, you donโ€™t have to choose between them entirely. With AdminMartโ€™s Flowbite React Templates & Wrappixelโ€™s Shadcn Templates, you can enjoy the benefits of both worlds. These Admin templates are designed to help you kickstart your project, save time, and ensure you deliver a top-notch user experience. - Source: dev.to / over 1 year ago

What are some alternatives?

When comparing NumPy and AdminMart, 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.

Wrappixel - Admin Dashboards for Modern Startups ๐Ÿข Businesses for ๐Ÿ…ฐ๏ธ Angular โš›๏ธ React ๐Ÿ…ฑ๏ธ Bootstrap, Vue, Next.Js, Tailwind, Nuxt . Crafted for Developers by Dev's! Ready-Made templates & themes are the cornerstone๐Ÿ“ˆof setting up successful dashboards.

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

Creative Tim - Awesome Bootstrap freebies and templates to build better websites

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

ThemeSelection - Selected high quality, modern design, professional and easy-to-use Free Admin Dashboard Template, HTML Themes and UI Kits to create your applications faster!