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Motivosity VS NumPy

Compare Motivosity VS NumPy and see what are their differences

Assembly
Assembly is an employee recognition software powered by AI that boosts engagement and productivity. Empower teams with peer-to-peer recognition, rewards, and performance tracking. Simplify HR processes and foster a positive workplace culture. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Motivosity logo Motivosity

Peer-to-peer recognition platform that engages employees

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Motivosity Landing page
    Landing page //
    2023-06-11
  • NumPy Landing page
    Landing page //
    2023-05-13

Motivosity videos

+ Add

Motivosity Overview - Creating Cultures of Motivated Employees

More videos:

  • Review - Motivosity Employee Reviews - Q3 2018
  • Review - Motivosity - Reviewing Pulse Surveys

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 Motivosity and NumPy)

Motivosity

NumPy

HR Tools
100 100%
HR Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
HR
100 100%
HR
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 Motivosity and NumPy

Motivosity Reviews

The Best Employee Recognition Software Platforms & Reward Programs Used By Notable Companies In 2022
“Motivosity allows the people in my department to give and receive thanks/recognition for individual and group contributions. It’s a versatile tool. I like how my organization has been able to tweak the user interface so that we can offer kudos according to our six company values (Service, Professionalism, Leadership, Innovation, Community, and Excellence). I like the Badges...
Source: snacknation.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 seems to be more popular. It has been mentiond 112 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.

Motivosity mentions (0)

We have not tracked any mentions of Motivosity yet. Tracking of Motivosity recommendations started around Mar 2021.

NumPy mentions (112)

  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 5 days ago
  • Documenting my pin collection with Segment Anything: Part 3
    NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 6 days ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 11 days ago
  • NumPy for Beginners: A Basic Guide to Get You Started
    This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 13 days ago
  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
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What are some alternatives?

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

Kudos - Kudos is the simple and easy to use employee recognition software that enhances employee engagement and team communication.

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

Fond - Fond employee engagement platform helps companies increase employee happiness with recognition, rewards, perks and survey programs to maximize impact..

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

Bonusly - Recognition and rewards that make work fun

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

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