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NumPy VS CreateFiles+

Compare NumPy VS CreateFiles+ and see what are their differences

NumPy

NumPy is the fundamental package for scientific computing with Python

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
CreateFiles+

Create blank files, custom file types, templates, whole batches, and reusable folder setups exactly where you are working on macOS.

Rating
0 reviews
Pricing
Paid Free trial $4.99 / One-off (2 mac licenses with purchase)
Alternatives Is it good?
ReleasePad
Changelog software that turns GitHub commits into release notes your users actually see — inside your app. Built for founders and teams who ship fast. sponsored
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.

Which is more popular?

Based on our record, NumPy seems to be more popular. It has been mentioned 122 times since March 2021.

social mentions
122 vs 0
Data Science And Machine Learning popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

NumPy
CreateFiles+
Website numpy.org createfilesplus.com
Pricing
Open source
Paid Free trial $4.99 / One-off (2 mac licenses with purchase) Official pricing
Platforms —
MacOS Mac OSX Mac
Company — Startup from the United States · 1 - 9 employees · 2026
Listed in
Data Science And Machine Learning Data Science Tools Python Tools Software Libraries +1
Mac Tools File Management Productivity Developer Tools OS & Utilities +2

About NumPy and CreateFiles+

In their own words, as submitted to SaaSHub.

NumPy
CreateFiles+

No description of NumPy yet.

CreateFiles+ adds the file creation workflow macOS should have had all along. Create a new file exactly where you are working, without opening TextEdit, saving-as, using Terminal, or dragging template files around. Use Finder right-click menus where macOS allows them, or fall back to the Finder...

Read more about CreateFiles+

Features and specs

What each product offers, as listed by its team.

NumPy 5 features
CreateFiles+ 4 features
  • 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

  • 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.
  • Right-click on Finder
    Today finder does not let you create new files just folders. Our tool allows that in the Menu bar, Finder Menu, and in the body of any folder in macOS.
  • Quick file creation
    using the Flywheel to create new file types
  • Creating batch files
    Allows to create new files in batches up to 100 at a time
  • Folder packs
    Come with the app for different use cases and professions allowing the user to create commonly file types.

Analysis

An editorial look at what each product does well and who it suits.

NumPy
CreateFiles+

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.

Overall verdict

  • I don't have verified information about CreateFiles+ (createfilesplus.com), as I don't have reliable data on this specific product or service to assess its quality, features, or reputation.

Why this product is good

  • Unable to confirm the legitimacy, functionality, or user reviews of this specific website or tool
  • No verified data available on pricing, features, or customer satisfaction
  • Recommend researching independently through reviews, user forums, and checking domain history before use
  • Consider checking for security certificates, privacy policy, and company transparency

Recommended for

  • Users should conduct their own due diligence before using this service
  • Verify through independent review sites, trust indicators like BBB or Trustpilot if available
  • Check domain age and reputation using tools like WHOIS lookup

Videos

Walkthroughs and reviews on video.

NumPy 3 videos + Add
CreateFiles+ 1 video + Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos

  • - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

CreateFiles+ Demo

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
NumPy
CreateFiles+
100% 100%
Data Science And Machine Learning
0% 0%
0% 0%
OS & Utilities
100% 100%
100% 100%
Data Science Tools
0% 0%
0% 0%
Productivity
100% 100%

Questions & Answers

As answered by people managing NumPy and CreateFiles+.

Which are the primary technologies used for building your product?

CreateFiles+'s answer:

Xcode and Swift

What makes your product unique?

CreateFiles+'s answer:

macOS should have created this feature out of the box but does not exist. Windows users have had this feature for over a decade. I created this to remove that gap for macOS users.

Why should a person choose your product over its competitors?

CreateFiles+'s answer:

I am not familiar with any competitors doing this today.

How would you describe the primary audience of your product?

CreateFiles+'s answer:

Power Users, Developers, Productivity focused users, students, teachers, creators.

Who are some of the biggest customers of your product?

CreateFiles+'s answer:

Its brand new so that is yet to be determined.

What's the story behind your product?

CreateFiles+'s answer:

I have struggled with not having this capability in Finder for years and decided I would fix the problem for me and then see if other users would want the same solution.

User comments

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

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

NumPy no reviews yet
CreateFiles+ no reviews yet

View more

We have no reviews of CreateFiles+ yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

NumPy 122 mentions
CreateFiles+ 0 mentions

View more

Tracking CreateFiles+ since Jun 2026.

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