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NumPy VS Make.com

Compare NumPy VS Make.com and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Make.com logo Make.com

Tool for workflow automation (Former Integromat)
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Make.com Landing page
    Landing page //
    2022-07-05

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

Make.com videos

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Zapier vs Integromat - Quick Comparison Review

More videos:

  • Review - Integromat feature tour
  • Review - Introduction to Integromat

Category Popularity

0-100% (relative to NumPy and Make.com)

NumPy

Make.com

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Web Service Automation
0 0%
Web Service Automation
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
Automation
0 0%
Automation
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 Make.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

Make.com Reviews

Top 9 MuleSoft Alternatives & Competitors in 2024
Make, one of the best Mulesoft alternatives, the ultimate IT process automation tool for enhancing efficiency, productivity, and collaboration. By automating routine tasks, integrating with existing infrastructure, and offering powerful workflow automation, Make empowers your team to streamline processes and achieve remarkable results.
Source: www.zluri.com
Zapier vs. Make.com: Which Automation Tool Will Take the Business Lead?
Make.com offers a cost-effective option for those looking for a business process automation solution, even if it may compromise usability and integration. From your scenario, Make.com seems like a realistic alternative for those with a more limited budget or those willing to work with additional API documentation and webhooks instead of the broader integration that Zapier...
Source: www.listproductsreview.com
7 Best Zapier Alternatives to Meet Your Integration Needs
Make.com is no different than other tools in this list given that it is a low-code platform, has a drag-and-drop interface, and enables users to automate workflows — which it calls “scenarios”. Make was known as Integromat before its rebranding in 2022, post which they have heavily invested in revamping their website and app UI.
Source: www.linkedin.com
13 data integration tools: a comparative analysis of the top solutions
Make.com is a highly sought-after tool that allows for smooth data integration and transformation. It boasts an array of functionalities including custom app creation, storage for execution logs, and access to over 300 Make API endpoints, expediting the automation of tasks with ease.
Source: blog.n8n.io
10 n8n.io Alternatives
Integromat is a robust integration tool that enables global folks to achieve more in less time with fewer people in the squad. This super simple and effective integration tool enables users to visualize, automate, design, and modify work within minutes. You can connect applications to automate workflows with some simple clicks using it. No credit card is required, and no...
Source: www.justalternativeto.com

Social recommendations and mentions

Based on our record, NumPy seems to be more popular. It has been mentiond 107 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.

NumPy mentions (107)

  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 2 months ago
  • JSON in data science projects: tips & tricks
    Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 2 months ago
  • Introducing Flama for Robust Machine Learning APIs
    Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
  • A Comprehensive Guide to NumPy Arrays
    Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago
  • Beginning Python: Project Management With PDM
    A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago
View more

Make.com mentions (0)

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

What are some alternatives?

When comparing NumPy and Make.com, 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.

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

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

ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.

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

Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.

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