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NumPy VS OnlyFlights

Compare NumPy VS OnlyFlights 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?
OnlyFlights

The most affordable, simple, and easy-to-use flight tracking app. No ads, no clutter - just track your flights!

Rating
0 reviews
Pricing
Freemium Free trial $1.99 / Monthly ((or $14.99 as an yearly option))
Alternatives Is it good?
AeroDataBox
Aviation and flight API tailored for SMBs and individual developers, offering flight status, schedules, aircraft and airport data, statistics, historical data and more. Seamless REST/web hook integration via API marketplaces at affordable rates. 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%
alternatives listed
189 vs 44

Base details

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

NumPy
OnlyFlights
Website numpy.org time2pack.app
Pricing
Open source
Freemium Free trial $1.99 / Monthly ((or $14.99 as an yearly option)) Official pricing
Platforms —
iOS iPhone
Company — Startup from Poland · 1 - 9 employees · 2025
Listed in
Data Science And Machine Learning Data Science Tools Python Tools Software Libraries +1
Travel Travel Tools Flight Tracking Mobile Apps +1

About NumPy and OnlyFlights

In their own words, as submitted to SaaSHub.

NumPy
OnlyFlights

No description of NumPy yet.

OnlyFlights is designed with only the most useful features - no distractions, no unnecessary extras. Just simple, efficient flight tracking. What we offer: Reliable flight tracking (Track any flight in real time with accurate departure, arrival, and route details.) Flight alerts (Get instant...

Read more about OnlyFlights

Features and specs

What each product offers, as listed by its team.

NumPy 5 features
OnlyFlights 6 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.
  • Flight Tracking
    Track any flight in real time with accurate departure, arrival, and route details.
  • Flight Alerts
    Get instant notifications for delays, cancellations, gate changes, and other important updates.
  • Boarding Alerts
    Stay on top of your journey with timely reminders for boarding and gate information.
  • Flight History
    Save and access all your past flights anytime, with a detailed travel record.
  • Countdown widgets
    Add our widget to your Home Screen and see exactly how long until your next flight.
  • Statistics
    View insights on your travel habits, including total flights, distance traveled, and favourite airlines.

Analysis

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

NumPy
OnlyFlights

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

  • OnlyFlights (time2pack.app) appears to be a useful travel-focused tool for finding and comparing flights, but as with any travel service, its value depends on your specific needs and how it compares to established booking platforms. Without extensive independent reviews, it's best treated as a helpful supplementary option worth trying alongside trusted comparison sites.

Why this product is good

  • It focuses specifically on flights, which can streamline the search process for travelers who only need airfare
  • Flight-focused tools often provide cleaner interfaces without the clutter of hotel and package upsells
  • May offer competitive fare comparisons that help you spot deals across multiple airlines
  • Convenient for quick trip planning when you want to check prices and timing without extra steps

Recommended for

  • Frequent flyers who want a dedicated flight search tool
  • Budget-conscious travelers comparing airfares across carriers
  • Solo travelers or those who book flights separately from accommodations
  • People who prefer a simple, focused booking experience over bundled travel packages

Videos

Walkthroughs and reviews on video.

NumPy 3 videos + Add
OnlyFlights 0 videos + 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

No OnlyFlights videos yet. You could help us improve this page by suggesting one.

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
OnlyFlights
100% 100%
Data Science And Machine Learning
0% 0%
0% 0%
Travel
100% 100%
100% 100%
Data Science Tools
0% 0%
0% 0%
Travel Tools
100% 100%

Questions & Answers

As answered by people managing NumPy and OnlyFlights.

Why should a person choose your product over its competitors?

OnlyFlights's answer:

You should choose OnlyFlights over other apps because it’s fast, private, and stress-free. Unlike some flight apps, it doesn’t ask you to create an account or show you annoying ads. It gives you just what you need - like real-time flight updates, delay alerts, and a clean travel log - without any extra clutter. Plus, it’s really affordable if you want to track more than two flights. Perfect for travelers who want a simple tool that just works.

What makes your product unique?

OnlyFlights's answer:

OnlyFlights is unique because it’s super simple and easy to use. You don’t need to sign up or deal with ads, and it doesn’t track your data. It focuses only on flight tracking, with clean design and useful features like live flight alerts, a countdown to your next flight, and a travel history log. It’s made for people who just want to track flights without any extra noise.

How would you describe the primary audience of your product?

OnlyFlights's answer:

The primary audience for OnlyFlights is travelers who want a simple and reliable way to track their flights. This includes frequent flyers, casual travelers, flight crews, and even people picking someone up from the airport. These travelers care about staying updated but don’t want to deal with ads, sign-ups, or complicated apps.

What's the story behind your product?

OnlyFlights's answer:

The story behind OnlyFlights started with Kate and Alex, the creators of the Time2Pack app. At first, they added a flight tracking feature inside Time2Pack, just to help travelers stay more organized. But soon, users began asking for a separate app that focused only on flight tracking. So, after getting lots of feedback, they decided to build OnlyFlights as a standalone app - simple, focused, and designed just for tracking flights without distractions.

User comments

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Reviews and articles

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

NumPy no reviews yet
OnlyFlights no reviews yet

View more

We have no reviews of OnlyFlights 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
OnlyFlights 0 mentions

View more

Tracking OnlyFlights since Jun 2025.

Alternatives to NumPy and OnlyFlights

When comparing NumPy and OnlyFlights, you can also consider the following products.

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