Software Alternatives, Accelerators & Startups

NumPy VS Supermetrics

Compare NumPy VS Supermetrics and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Supermetrics logo Supermetrics

Supermetrics condenses all the major vectors of data relevant to a user's marketing campaigns and helps them make sense of it all.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Supermetrics Landing page
    Landing page //
    2023-03-16

Supermetrics

$ Details
-
Release Date
2013 January
Startup details
Country
Finland
City
Helsinki
Founder(s)
Mikael Thuneberg
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

Supermetrics videos

Reviewing Stitch vs Supermetrics for BigQuery

More videos:

  • Review - Supermetrics Review - What You Need To Know Before You Buy Supermetrics
  • Review - Supermetrics CEO Mikael Thuneberg: $12m in ARR, 150% YoY Growth. THIS is how you build a company!

Category Popularity

0-100% (relative to NumPy and Supermetrics)
Data Science And Machine Learning
Marketing Analytics
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Analytics
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 Supermetrics

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

Supermetrics Reviews

Top 5 Best Integration Software for 2023
Supermetrics is aimed primarily at streamlining marketing data. Integrating data from over 100 platforms, it makes a business’s marketing info analysis-ready with reporting and analytics tools. It currently serves about 17,000 companies, from small firms and agencies to large corporations across a variety of industries. It promises better returns on advertising expenses...
Source: everhelper.me
Funnel.io Alternatives and Competitors in 2022
If you're in the market for a marketing analytics platform to help you aggregate all your data into one place, you'll likely want to review this list in detail, comparing Funnel.io vs Improvado vs Supermetrics vs Domo vs Datorama. There is a lot to consider from ease of use, to integration with the platforms you use as well as customization and access to customer support.
Source: improvado.io
Top 5 Supermetrics Alternatives – Competitors, Cost, Features & Pricing Model
Funnel.io and Supermetrics provide similar functionality. But unlike Supermetrics, Funnel has a much clearer pricing model. At the same time, they charge based on your ad spend, which is not always the case.
Source: windsor.ai
Funnel.io — Data integration platform with 500+ data sources
There is not too much information about their functionality here. To make it simple, Supermetrics extracts data from marketing sources into the above destinations. Other destinations will need to use the Supermetrics API.
Source: www.windsor.ai
Top 5 Supermetrics Alternatives You Should Know About
Funnel.io and Supermetrics provide similar functionality. But unlike Supermetrics, Funnel has a much clearer pricing model. At the same time, they charge based on your ad spend, which is not always the case.
Source: www.windsor.ai

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Supermetrics. While we know about 112 links to NumPy, we've tracked only 8 mentions of Supermetrics. 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 / 4 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 / 4 days ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 10 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 / 12 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
View more

Supermetrics mentions (8)

  • Unique Business marketing stories Part-1
    Supermetrics is a marketing data SaaS, they scaled internationally to more than $50M from Helsinki, Finland. Source: 12 months ago
  • Ask HN: Who is hiring? (April 2023)
    Supermetrics | Senior Software Engineer | Full time | REMOTE (Portugal) | https://supermetrics.com/ Join our newly founded Internal Integrations Engineering team, develop scalable solutions to support our sales processes, and improve automation and internal tooling for Supermetrics' Sales, Finance, and Customer Support functions. We hope you have strong backend programming skills in PHP and Typescript/Javascript... - Source: Hacker News / about 1 year ago
  • Anyone here is familiar with Facebook API?
    Https://supermetrics.com is one of them but there are many more actually. Do a quick research about the alternative platforms and let me know if you need further help :). Source: over 1 year ago
  • Calendar Heroes: Connor MacDonald, CMO at The Ridge - Q&A on Time Management
    Supermetrics powers 90% of our reporting, with automated report building so we can monitor our ad performance. - Source: dev.to / almost 3 years ago
  • Converting dev environments to Apple Silicon
    The reality is that Apple will switch to ARM chips, and as devs, we need to be prepared. So this past weekend, faced with a shortage of Intel Macbook Pros for our new devs, we sat down to make it all work for our Supermetrics developers. - Source: dev.to / about 3 years ago
View more

What are some alternatives?

When comparing NumPy and Supermetrics, 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.

Whatagraph - Whatagraph is the most visual multi-source marketing reporting platform. Built in collaboration with digital marketing agencies

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

Funnel.io - Marketing analytics software for e-commerce companies and online marketers that automatically...

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

Databox - Databox is Business Analytics platform that helps companies deliver insights and analytics anytime and anywhere.