Software Alternatives, Accelerators & Startups

Survey Monkey VS NumPy

Compare Survey Monkey VS NumPy and see what are their differences

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Survey Monkey logo Survey Monkey

Create and publish online surveys in minutes, and view results graphically and in real time. SurveyMonkey provides free online questionnaire and survey software.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Survey Monkey Landing page
    Landing page //
    2023-10-10
  • NumPy Landing page
    Landing page //
    2023-05-13

Survey Monkey features and specs

  • Ease of Use
    SurveyMonkey offers an intuitive interface that allows users to create surveys quickly and easily, even without technical expertise.
  • Variety of Templates
    The platform provides a wide range of customizable survey templates, which can save time and ensure a professional look.
  • Advanced Analytics
    Powerful analytics tools that help users interpret data through charts, graphs, and other visualization methods.
  • Integration Capabilities
    SurveyMonkey integrates with various third-party tools and services like Google Drive, Mailchimp, and Salesforce, enhancing its usability across different platforms.
  • Mobile-Friendly
    Surveys created on SurveyMonkey are optimized for mobile devices, ensuring good performance and compatibility for respondents using smartphones or tablets.
  • Survey Logic
    Features such as skip logic, randomization, and piping help create more customized and targeted surveys.
  • 24/7 Customer Support
    SurveyMonkey provides round-the-clock customer support to assist users with any issues or queries.

Possible disadvantages of Survey Monkey

  • Cost
    The free version has limitations, and features like advanced analytics, skip logic, and white labeling require a paid subscription, which can be pricey.
  • Limited Customization
    While SurveyMonkey offers various templates and themes, the customization options can be somewhat restrictive compared to other platforms.
  • Data Ownership
    There are some concerns regarding data privacy and ownership, as SurveyMonkey retains certain rights over the data collected using their platform.
  • Response Limitations
    The free plan has limitations on the number of responses you can collect, which can be restrictive for larger surveys.
  • Complex Survey Structures
    Creating highly complex surveys with extensive logic and branching can be cumbersome and sometimes requires a steep learning curve.
  • Branding Restrictions
    The free and lower-tier plans include SurveyMonkey branding on the surveys, which may not look professional for business purposes.
  • Export Limitations
    Exporting data, especially to more advanced formats, is generally restricted to higher-tier paid plans.

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.

Survey Monkey videos

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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

Category Popularity

0-100% (relative to Survey Monkey and NumPy)
Surveys
100 100%
0% 0
Data Science And Machine Learning
Forms And Surveys
100 100%
0% 0
Data Science Tools
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 Survey Monkey and NumPy

Survey Monkey Reviews

10 SurveyMonkey Alternatives and Competitors in 2024
This alternative to SurveyMonkey offers professionally designed templates, customizable options, and personalized Nudges that blend seamlessly with your branding. Their targeted surveys yield more valuable responses than email surveys, as they capture users in the moment. You have complete control over when and whom the survey targets, allowing for feedback collection at...
Source: clickup.com
9 Survey Monkey Alternatives for Your 2024 Market Research
We’ve already laid out the central features of Survey Monkey, but what exactly makes it one of the best choices for data collection and market research? Here are several reasons why you might pick Survey Monkey:
10 Better Alternatives to Survey Monkey for Comprehensive Data Collection
Medallia is a compelling alternative to Survey Monkey, especially for enterprises looking to gain a comprehensive understanding of customer experiences and feedback. Its extensive feedback collection options, advanced analytics, and focus on actionable insights make it an invaluable tool for businesses striving to enhance customer satisfaction and loyalty. While Medallia...
Source: www.zoho.com
Top 5 Alternatives To SurveyMonkey: List of Top Survey Software Competitors
If you are looking for SurveyMonkey alternatives then we have prepared a list of reliable solutions that you can try out instead. This article details the main features and benefits of SurveyMonkey and five good alternatives. We also compare their pricing schemes and integration options for your benefit.
SurveyMonkey Competitors and Alternatives – 7 of the Best
AskNicely is survey software with a very defined purpose: helping companies improve customer satisfaction based on the Net Promoter Score (NPS). Boasting a 38-percent response rate, this SurveyMonkey alternative leverages connections that allow users to integrate surveys into software they already use to reach out to and learn from customers.

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

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Survey Monkey. While we know about 119 links to NumPy, we've tracked only 9 mentions of Survey Monkey. 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.

Survey Monkey mentions (9)

  • In-app surveys for React Native Apps
    Let's talk about the big 2 first: Typeform and SurveyMonkey. - Source: dev.to / over 1 year ago
  • [iOS] Pro-tip: if the fill password prompt is not automatically showing up on websites/apps on your iPhone, make sure to include "https://" before the URI.
    For example, instead of setting your URI for SurveyMonkey to surveymonkey.com, you should instead set it to https://surveymonkey.com. Source: almost 2 years ago
  • I’ve been nominated as chair of the Landscaping Committee… what advice do you have?
    After that's all clear, I'd survey the HOA (surveymonkey.com) and create some type of chart (maybe a importance/performance grid) showing where residents feel the most help is currently needed in terms of landscaping. Your team can then work from there. Source: about 3 years ago
  • Is the Use of Social Media Addictive?
    The primary research for this will be carried out by creating a survey through surveymonkey.com and the information collated will be compared with my secondary research and a conclusion will be formed. Source: over 3 years ago
  • What is your job and how much do you get paid?
    Hey eveyone, can you take a minute and take this? I am doing a course in UX Design and I have to do some surveys like this. So if you could help me out, please take this survey and then let me know what you think. https://www.surveymonkey.com/r/WCW2Y2W Anonymous Job Survey Surveymonkey.com. Source: over 3 years ago
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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 Survey Monkey and NumPy, you can also consider the following products

Typeform - Create beautiful, next-generation online forms with Typeform, the form & survey builder that makes asking questions easy & human on any device. Try it FREE!

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

Google Forms - Simple web forms from Google.

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

Qualtrics - Qualtrics is the most trusted research platform, helping brands make crucial business decisions. From surveys to insights to action.

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