Software Alternatives, Accelerators & Startups
Register | Login

NumPy VS Kimp

Compare NumPy VS Kimp and see what are their differences

Zoviz
Zoviz: Professional Logos, Perfectly Personalized Your Brand. Your Story 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. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Kimp logo Kimp

Kimp is an unlimited design company, specializing in graphic design (including print and digital designs, custom illustrations, landing page designs and email designs) and video design.
Visit Website
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Kimp Landing page
    Landing page //
    2023-05-24

The design service Kimp offers graphic and video design monthly packages, which allows businesses to get a dedicated design team for a fraction of the cost of working with freelancers and design agencies.

Kimp is for startups, SMEs, marketers, creative agencies, freelancers, entrepreneurs โ€“ just about anyone who needs cost-effective, high quality graphic design services, on an ongoing basis.

We take our time so a two month project weโ€™ll drag out for 6 months so we can continue billing you. For a monthly flat rate of $499 the clients are offered unlimited number of designs and revisions. The designs include logos, blog images, packaging and labels, flyers and brochures, posters, social media images, business cards, infographics, trade show banners, and more.

Video package is $599/mo. The combined package that includes both graphics and video designs, is $895/mo, which saves over 20% discount on a continuous basis.

Other than the first-class designs and fast turnaround time that often does not exceed a business day, Kimp comes with no contracts, no hourly billing or any other additional fee.

Kimp makes the design process simple. Clients can place their requests online and the designated designers will start working on them. Kimp has talented designer teams that operate in six different time zones. Kimp designers can usually provide 2-3 designs per business day for their clients.

With Kimp, youโ€™ll feel like you have an in-house designer โ€“ without the hefty price tag.

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.

Kimp features and specs

  • Easy to Set-up and use
    On-boarding is very easy and can get started right away
  • Free Trial
    Offer 7-days free trial to get a taste of first-rate graphic designs and friendly service

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.

Analysis of Kimp

Overall verdict

  • Kimp is a good option for businesses and individuals looking for a cost-effective and scalable solution to meet continuous graphic design needs. Their subscription model is ideal for companies that require frequent design updates or have multiple design needs across different platforms.

Why this product is good

  • Kimp (kimp.io) offers unlimited graphic design services for a flat monthly fee, which is appealing to businesses needing consistent design work. They provide a team of designers who work on multiple projects at once, making it efficient for those needing quick turnarounds on a variety of projects. The service includes unlimited requests and revisions, allowing for flexibility and thoroughness until the desired outcome is achieved.

Recommended for

  • Small to medium-sized businesses
  • Marketing agencies
  • Entrepreneurs
  • Non-profits
  • Startups
  • Companies looking for a budget-friendly, flexible design solution

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

Kimp videos

+ Add

Kimp Promo

More videos:

Category Popularity

0-100% (relative to NumPy and Kimp)

NumPy

Kimp

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Design As A Service
0 0%
Design As A Service
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Graphic Design
0 0%
Graphic Design
100% 100

User comments

Share your experience with using NumPy and Kimp. 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 NumPy and Kimp

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

Kimp Reviews

  1. June Xing
    ยท Marketing Director at Pro Marketing ยท
    Great service, very happy!

    Kimp is great. Their entire process is very organized. Really love the experience from on-boarding to handling the tasks. Quality designs, fast turnaround. Highly recommended!

    ๐Ÿ Competitors: Design Pickle, Penji, ManyPixels, Graphics Zoo, Flocksy
    ๐Ÿ‘ Pros:    Very organized structure
  2. Cathy Lee
    ยท Founder/CEO at Phenom Marketing ยท
    Amazing service!!

    I really wish that I knew about this kind of service long ago. I was referred to Kimp by a friend so decided to give them a try. I have blown away by how much I was able to get done and free up my time. Great designs from the getgo. My project manager is very responsive and friendly to work with. Overall, I really enjoy working with the Kimp team and I can see this being a very long working relationship.

    ๐Ÿ‘ Pros:    Can outsource all my design requirement so i can focus on scaling my business|Great quality designs from the getgo, they nail most of the designs in the first attempt.|Very responsive and friendly project manager|Followups from management team|Very affordable|Fast turnarounds
    ๐Ÿ‘Ž Cons:    Nothing i can think of at the moment, they are really like part of my team
10 Best Unlimited Graphic Design Services in 2024
Businesses of all sizes can access unlimited design requests and revisions for a flat monthly fee with Kimp. No contracts, no hidden fees, and no more stress of finding reliable designers, as Kimp gives you access to dedicated designers.
Source: draftss.com
10 Design Pickle Alternatives
Pricing: The Graphics plan starts at $499 per month and includes unlimited requests and modifications, no contract, and free stock images. The Video and Graphics + Video subscriptions cost $599 and $895 per month and include extra capabilities that will undoubtedly boost your content marketing. Furthermore, if you are using Kimp for the first time, you will receive a 50%...
Source: www.reelunlimited.com
7 Design Pickle Alternatives That Offer Better Designs at Cheaper Price
Kimp offers a range of unlimited designs from logos, infographics to your campaign banners on social media and blog images. Their services are aimed at entrepreneurs, marketers, agencies, and small business owners. You can get their cost-effective solution without the need to recruit freelancers or hire designers.
Source: digifloat.io
10 Affordable Alternatives to DesignJoy
Kimp banks on its reliability and affordability to give you whatever designs you need. For starters, its website lists some 50 design types they can do โ€“ from book covers to billboards, and newsletters to even NFT designs. Itโ€™s a service suitable for small and big companies alike. When we say big, count in clients like Harley-Davidson (big bikes) and New York University (big...
Source: www.webdesign-inspiration.com

Social recommendations and mentions

Based on our record, NumPy seems to be more popular. It has been mentiond 122 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 (122)

View more

Kimp mentions (0)

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

What are some alternatives?

When comparing NumPy and Kimp, 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.

Design Pickle - Unlimited graphic design services for flat monthly fee

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

99designs - The #1 marketplace for graphic design, including logo design, web design and other design contests. Start a contest now with 100% Money-Back Guarantee!

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

ManyPixels - Unlimited, on-demand design services for freelancers, startups, and agencies.

Loading...