Software Alternatives, Accelerators & Startups

NumPy VS Observe.AI

Compare NumPy VS Observe.AI and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Observe.AI logo Observe.AI

Observe.AI is a top-rated platform that helps you to ensure high-quality call center customer services.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Observe.AI Landing page
    Landing page //
    2023-07-22

Observe.AI

Website
observe.ai
$ Details
-
Release Date
2017 January
Startup details
Country
United States
State
California
Founder(s)
Akash Singh
Employees
100 - 249

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

Observe.AI videos

Observe.AI Product Overview

More videos:

  • Review - Ask the Expert: Customer Experience Reimagined with AI featuring Observe.AI
  • Review - Reporting & Analytics from Observe.AI | Turn conversation intelligence into actionable insights

Category Popularity

0-100% (relative to NumPy and Observe.AI)
Data Science And Machine Learning
Communication
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Business & Commerce
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 Observe.AI

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

Observe.AI Reviews

We have no reviews of Observe.AI yet.
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Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Observe.AI. While we know about 112 links to NumPy, we've tracked only 1 mention of Observe.AI. 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 (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 / 19 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 / 20 days ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 25 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 / 27 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 / 10 months ago
View more

Observe.AI mentions (1)

  • Enhancing QuickSwap Community Operations through DaoLens DAO Manager
    With a background in mathematics, was previously Founding Engineer under the AI and ML division at Observe.ai (Contact Centre Automation). He is the Founder of Zipo, an e-commerce shipping management tool. Before that, he worked with the Samsung AI Team (Research and Development of Personal AI Voice Assistant Bixby). He frequently contributes to Open-Source Communities. Source: over 1 year ago

What are some alternatives?

When comparing NumPy and Observe.AI, 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.

Scorebuddy - SO WHAT IS SCOREBUDDY ALL ABOUT? Years ago, physical score cards or computer spreadsheets were used to track customer interactions.

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

PlayVox - With PlayVox you can run your QA, Coaching, Training and Motivation programs in one place in order to improve CSAT and other relevant KPIs.

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

Stella Connect - Stella Connect enables to build deeper customer connections, increase employee motivation and transform the QA and training approach.