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Doodle VS NumPy

Compare Doodle VS NumPy and see what are their differences

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Contents:
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  3. » Reviews
  4. » Alternatives

Doodle logo Doodle

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

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Doodle Landing page
    Landing page //
    2023-09-30
  • NumPy Landing page
    Landing page //
    2023-05-13

Doodle features and specs

  • Ease of Use
    Doodle offers an intuitive interface that allows users to easily schedule meetings and events. The process is straightforward and requires minimal technical know-how.
  • Availability Polls
    Users can create polls to find the best time for group meetings, making it simple to coordinate with multiple participants who have conflicting schedules.
  • Integrations
    Doodle integrates with major calendar systems like Google Calendar, Outlook, and iCal, allowing users to sync their appointments and schedules seamlessly.
  • Free Basic Version
    Doodle offers a free basic version with essential features, making it accessible to users who need basic scheduling without incurring any costs.
  • Reminders and Notifications
    The platform sends automatic reminders and notifications, helping to reduce the chances of participants forgetting their commitments.

Possible disadvantages of Doodle

  • Limited Free Features
    While the basic version is free, some advanced features require a subscription, which might be a drawback for users looking for comprehensive tools without costs.
  • Ads
    The free version is supported by advertisements, which can be distracting and reduce the overall user experience.
  • Privacy Concerns
    Users have to share their availability and email addresses, which raises potential privacy and data security concerns.
  • Mobile App Limitations
    The mobile application may lack some functionalities available on the web version, which could be inconvenient for users who prefer scheduling on-the-go.
  • User Interface Overload
    For some users, the interface can become cluttered, especially when managing multiple polls or events, leading to potential confusion and mismanagement.

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.

Doodle videos

+ Add

Doodly Review | Animated Doodle Video Tutorial

More videos:

  • Review - Rock-A-Doodle - AniMat’s Classic Reviews
  • Demo - Doodly Review - The Easiest and Most Realistic Doodle Animation Software - Doodly Demo

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

Category Popularity

0-100% (relative to Doodle and NumPy)

Doodle

NumPy

Appointment Scheduling
100 100%
Appointment Scheduling
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Appointments and Scheduling
100 100%
Appointments and Scheduling
0% 0
Data Science Tools
0 0%
Data Science Tools
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 Doodle and NumPy

Doodle Reviews

The Best 24 Appointment Scheduling Apps and Booking Software
Doodle has some cool features, like letting you create meeting polls to send to clients and prospects, suggesting meeting dates and times, and allowing voting on dates that work — all with Doodle’s free version. In my opinion, the free version of Doodle is a little too simple for teams that don’t have enough participation to nail down a great meeting time by using the poll...
Source: blog.hubspot.com
Seven Best Doodle Alternatives (Free & Paid Options)
Not only is it geared towards organizing schedules, but as a Doodle alternative, it also allows for the creation of scheduling patterns that work best for you. From the get-go, you can lay out your needs and preferences. When do you like to meet, who should attend, and where is a nearby coffee shop that can work for everyone?
Source: www.booklikeaboss.com
The Best Alternatives to Doodle That You Should Check Out
Doodle is only one of several online scheduling software, and many consider it the best. Yet, Doodle is not the right solution for everyone. Analyzing Doodle’s online reviews reveals its weaknesses.
Source: trafft.com
The 14 Best Meeting Scheduling Tools for 2022
Similarly to Doodle, Rally lets you create a poll, where the participants decide on the best time for the meeting. Apart from being completely free to use, Rally’s added bonus which put it on our list of best meeting scheduling tools for 2022 is the comment box on the poll page. This allows the participants to discuss the meeting details and talk about the agenda beforehand.
Source: www.recruiterslineup.com
The 6 Best Calendly Alternatives in 2022 (Free & Paid Options)
To be honest, what makes Doodle so great is also one of its greatest drawbacks. It’s so uncomplicated that it lacks a great deal of functionality that more complex programs offer.
Source: www.chilipiper.com

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

Social recommendations and mentions

Based on our record, NumPy should be more popular than Doodle. It has been mentiond 119 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.

Doodle mentions (16)

  • So I've had another instance where the extension was just disabled on a site.
    I made this post a few months ago regarding how the extension was just disabled on a site I had accessed. I checked trusted sites, and there was nothing there. Today, I went onto a site called doodle, I'm sure many of you have used it or heard of it, and the same thing happened. Ublockorigin was disabled. Again, this site is not present in my trusted sites. Someone suggested this was due to a firefox feature where... Source: over 1 year ago
  • Who's up for a Shut-Up-And-Write session right now?
    Can we set up a doodle poll so everyone can vote on the time that works for them? https://doodle.com/en/. Source: almost 2 years ago
  • Calendaring solutions . . .
    Otherwise the other one I've seen for our C suite is https://doodle.com/en/. Source: over 2 years ago
  • Discussion Thread
    I’ve heard good stuff about doodle https://doodle.com/en/. Source: over 2 years ago
  • Looking for an online schedule/calender's to help plan meetups
    Doodle is great for trying to figure out when everybody is available. Source: over 2 years ago
View more

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 / 8 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 / 9 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 / 9 months ago
View more

What are some alternatives?

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

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.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Acuity Scheduling - Automate your client bookings, cancellations, reminders & payments using the worlds friendliest online scheduling software.

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.

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