Software Alternatives & Startups
Register | Login

SwipedOn VS NumPy

Compare SwipedOn VS NumPy and see what are their differences

SwipedOn

SwipedOn is a smart but simple visitor management solution. Our paperless gateway makes connecting people intuitive and easy.

Rating
0 reviews
Pricing
Paid Free trial $19 / Monthly (Contactless sign in, Contact tracing, Visitor screening, Alerts)
Alternatives Is it good?
NumPy

NumPy is the fundamental package for scientific computing with Python

Rating
0 reviews
Pricing
Open source
Alternatives Is it good?
Monitask
Employee Monitoring Software with Screenshots, Internet, Activity and Time Tracking 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
0 vs 122
Visitor Management System popularity
100% vs 0%
alternatives listed
197 vs 240+

Base details

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

SwipedOn
NumPy
Website swipedon.com numpy.org
Pricing
Paid Free trial $19 / Monthly (Contactless sign in, Contact tracing, Visitor screening, Alerts) Official pricing
Open source
Platforms
iOS Browser iPhone Android +1
—
Listed in
Visitor Management System Reception Lobby Management Employee Management Delivery Management System +2
Data Science And Machine Learning Data Science Tools Python Tools Software Libraries +1

About SwipedOn and NumPy

In their own words, as submitted to SaaSHub.

SwipedOn
NumPy

Protect your employees and workplace from the risk of unknown exposure to viral infections such as COVID-19 Coronavirus, with contactless sign in, visitor screening and instant alert notifications. Let SwipedOn take care of all your reception desk processes - visitor management, receiving...

Read more about SwipedOn

No description of NumPy yet.

Features and specs

What each product offers, as listed by its team.

SwipedOn 5 features
NumPy 5 features
  • Contactless sign in
    Touch free check in for visitors and employees
  • Contact tracing
    Ability to run contact tracing reports
  • Visitor screening
    Screen your visitors before the enter your workplace
  • Employee wellness checks
    Check the health of your employees as they sign in
  • Proximity sign in
    Verified location sign in for employees on site
  • 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.

Analysis

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

SwipedOn
NumPy

Overall verdict

  • SwipedOn is a solid choice for businesses looking for a reliable and efficient visitor management system. It effectively combines functionality with ease of use, making it a worthwhile investment for companies of varying sizes.

Why this product is good

  • SwipedOn is well-regarded for its user-friendly interface and efficient visitor management solutions. It offers features like seamless sign-in processes, detailed visitor logs, customizable branding, and robust security measures. Businesses appreciate its ability to streamline front desk operations and enhance security by providing digital visitor sign-ins and badges. Additionally, SwipedOn's customer support is often praised for being responsive and helpful.

Recommended for

    SwipedOn is recommended for small to medium-sized businesses, corporate offices, schools, and any organizations needing to manage and track visitor information efficiently. It's particularly beneficial for companies prioritizing security and data management at their reception.

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.

Videos

Walkthroughs and reviews on video.

SwipedOn 3 videos + Add
NumPy 3 videos + Add

SwipedOn Visitor Management

More videos

  • - SwipedOn Deliveries - Manage deliveries to your workplace
  • - Contact Tracing Made Easy with SwipedOn

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

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
SwipedOn
NumPy
100% 100%
Visitor Management System
0% 0%
0% 0%
Data Science And Machine Learning
100% 100%
100% 100%
Reception
0% 0%
0% 0%
Data Science Tools
100% 100%

User comments

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

Log in or Post with

Reviews and articles

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

SwipedOn no reviews yet
NumPy no reviews yet

View more

Social recommendations and mentions

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

SwipedOn 0 mentions
NumPy 122 mentions

Tracking SwipedOn since Mar 2021.

View more

Alternatives to SwipedOn and NumPy

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

Loading...