Software Alternatives, Accelerators & Startups

NumPy VS Acuity Scheduling

Compare NumPy VS Acuity Scheduling and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Acuity Scheduling logo Acuity Scheduling

Automate your client bookings, cancellations, reminders & payments using the worlds friendliest online scheduling software.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Acuity Scheduling Landing page
    Landing page //
    2023-08-29

Meet the personal assistant for your schedule (only better) that works 24/7 behind the scenes to fill your calendar and take work off your plate. From the moment clients book with you, Acuity is there to automatically send branded & customized booking confirmations, deliver text reminders, let clients reschedule on their own, and process payments so your day-to-day runs smoother even as business get busier. All you need to do is show up at the right time.

A responsive scheduling page means that clients can book appointments from their desktop, tablet, or phone. You can also manage appointments directly from your desktop, tablet, or phone too.

Join the thousands of businesses who have booked millions of appointments already through Acuity Scheduling!

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.

Acuity Scheduling features and specs

  • Free Trial
  • Analytics and Reporting
  • Integrations
  • Mobile prioritized UI
  • Easy to Set-up and use

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 Acuity Scheduling

Overall verdict

  • Acuity Scheduling is highly recommended for those looking for a dependable and efficient scheduling solution. Its range of features caters to various needs, from small businesses to larger enterprises.

Why this product is good

  • Acuity Scheduling is considered a good scheduling tool because it offers a user-friendly interface, robust feature set, and seamless integration capabilities. It allows businesses and individuals to automate appointment bookings, manage schedules efficiently, and reduce no-show rates with automatic reminders. Additionally, it integrates with popular calendar and payment systems, which streamlines administrative tasks.

Recommended for

  • Small to medium-sized businesses
  • Freelancers
  • Consultants
  • Healthcare providers
  • Therapists
  • Coaching professionals
  • Any service-based industry needing to manage appointments

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

Acuity Scheduling videos

Acuity Scheduling Review and Walkthrough - Why I

More videos:

  • Review - Acuity Scheduling V Schedule Once V Calendly
  • Review - Acuity Scheduling Beginner Introduction 2019

Category Popularity

0-100% (relative to NumPy and Acuity Scheduling)
Data Science And Machine Learning
Appointments and Scheduling
Data Science Tools
100 100%
0% 0
Appointment Scheduling
0 0%
100% 100

User comments

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Reviews

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

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

Acuity Scheduling Reviews

The Best 24 Appointment Scheduling Apps and Booking Software
Acuity Scheduling makes it easy to book appointments with clients and prospects. It’s an online assistant where prospects, customers, and clients can see your real-time availability and book their own appointments. The tool allows you to send customized confirmations that reflect your branding. And you can send appointment reminders and follow-up messages by email or text.
The Best Alternatives to Doodle That You Should Check Out
One drawback is having to add available time slots by hand, making Acuity Scheduling time-consuming.
Source: trafft.com
The 6 Best Calendly Alternatives in 2022 (Free & Paid Options)
Service-based businesses need more than a scheduling app — they need something like Acuity Scheduling that lets customers book appointments and pay for services at the same time.
10 Zenoti Alternatives 2020 | Salon & Spa Scheduling Software
Acuity Scheduling enables the prompt visualization of real-time availability and an easy method for scheduling appointments. The major feature is the calendar coordination. Acuity Scheduling sends notifications about scheduling the appointments; hence, it assures that you don’t miss any. The customers can book the appointments with you without leaving the website or the...
Best Salon Software 2020: The Ultimate Guide
There are several reasons why you may not want to go for an All-in-One Salon Software and instead choose an Appointment Software (like Square Appointments or Acuity Scheduling) + specialized tools.

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Acuity Scheduling. While we know about 119 links to NumPy, we've tracked only 6 mentions of Acuity Scheduling. 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 (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 4 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 8 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 9 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 10 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 10 months ago
View more

Acuity Scheduling mentions (6)

  • Booking appointments online with payment processing
    I love (acuityscheduling.com). All the best to you. If you need a website please reach out. All the best to you!! (proquestdigital.com). Source: almost 2 years ago
  • Recommendations for online scheduling app for a one-man tutoring business
    Have you checked acuity? https://acuityscheduling.com seems to be very popular and simple to use. Source: about 3 years ago
  • Need help finding a scheduling platform for my online kids classes business. what do you use?
    In my search, I stumbled upon https://acuityscheduling.com and it seems to check the boxes (wihtout havign actually tried their demo yet) but it is definitely more expensive than corsizio and I wonder if I need everything it can do. Do any of you have any experience with Acuity Scheduling? Would it be a good fit for my small business or is there something better? Source: over 3 years ago
  • What do you use to help with interview booking availability?
    Acuity scheduling does what you're asking https://acuityscheduling.com. Source: over 3 years ago
  • [question] is there an app for scheduling someone else?
    Acuity or Calendly would also let you do this. People normally use these sites to allow their clients to schedule meetings or classes, but you could certainly set up a calendar for your boss where you are the only "client" — you're the only person who schedules meetings. It's a bit more complicated than the Google Calendar option, but it might give you what you want. I'm a professional leadership and executive... Source: over 3 years ago
View more

What are some alternatives?

When comparing NumPy and Acuity Scheduling, 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.

Calendly - Say goodbye to phone and email tag for finding the perfect meeting time with Calendly. It's 100% free, super easy to use and you'll love our customer service.

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

YouCanBookMe - Give your clients a better booking experience Stand out from your competitors with a completely customized scheduling experience that simply works. Create your free booking page! No credit card required. Free forever. Upgrade anytime.

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

Doodle - Make meetings happen. With Doodle, scheduling becomes quick and easy.