Software Alternatives, Accelerators & Startups

Supermetrics VS assertpy

Compare Supermetrics VS assertpy and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Supermetrics logo Supermetrics

Supermetrics simplifies marketing analytics by connecting, consolidating, and centralizing data from 150+ platforms into your favorite tools. Trusted by 200K+ organizations, we empower marketers to focus on insights, not manual work.

assertpy logo assertpy

A straightforward assertion library for Python.
  • Supermetrics
    Image date //
    2024-11-21
  • Supermetrics
    Image date //
    2024-11-21
  • Supermetrics
    Image date //
    2024-11-21
  • Supermetrics
    Image date //
    2024-11-21
  • Supermetrics
    Image date //
    2024-11-21

Supermetrics started with a bold idea: to make mastering marketing data simple and accessible for businesses everywhere. Today, itโ€™s a pioneering marketing intelligence platform trusted by over 200,000 organizations worldwide, including renowned brands like Nestlรฉ, Warner Bros, and Dyson.

From day one, Supermetrics has been driven by a mission to empower marketers and data analysts with seamless access to their data, regardless of where they are on their journey. What began as a solution to connect marketing data has evolved into a powerful platform that extracts and consolidates data from over 150 marketing and sales toolsโ€”such as Google Analytics, Facebook Ads, and HubSpotโ€”into preferred destinations with ease.

As the marketing landscape evolves, so does Supermetrics. Our dedication to innovation has earned us recognition as one of G2โ€™s Top 50 Best EMEA Software Companies for 2024, highlighting our commitment to staying at the forefront of marketing analytics.

At the heart of Supermetrics lies a commitment to innovation, transparency, and customer success. We believe in the power of data to tell stories, solve problems, and create opportunities. These values are reflected in our culture, which fosters collaboration and encourages team members to think creatively and push boundaries.

Looking ahead, Supermetrics is poised to continue leading the way in marketing analytics. With exciting innovations on the horizon and a growing global presence, we remain dedicated to helping our clients not just succeed but excel in the ever-changing world of marketing.

  • assertpy Landing page
    Landing page //
    2022-11-06

Supermetrics

$ Details
paid Free Trial
Release Date
2013 January
Startup details
Country
Finland
City
Helsinki
Founder(s)
Mikael Thuneberg
Employees
250 - 499

assertpy

Website
github.com
Pricing URL
-
$ Details
-
Release Date
-
Categories

Supermetrics features and specs

  • Comprehensive Integrations
    Supermetrics supports a wide range of data sources including Google Analytics, Facebook Ads, LinkedIn, Twitter, and many more, providing a centralized solution for marketing data integration.
  • Ease of Use
    The platform is designed to be user-friendly, enabling marketers with limited technical knowledge to easily pull data and create reports without needing complex coding skills.
  • Automation
    Supermetrics allows users to automate data transfers, reducing the time and effort needed to manually update reports and dashboards, thus enhancing productivity and efficiency.
  • Customization
    Users can create highly customized reports and dashboards tailored to specific needs, allowing for in-depth analysis and better data-driven decision making.
  • Data Reliability
    Supermetrics ensures data accuracy and reliability by maintaining frequent updates and verifications, which helps in maintaining data integrity during transfers.

Possible disadvantages of Supermetrics

  • Pricing
    The pricing structure of Supermetrics may be considered high, especially for small businesses or startups, which can be a deterrent for potential users with limited budgets.
  • Limited Data Transformation Capabilities
    While Supermetrics excels in data extraction and transfer, it has limited capabilities when it comes to advanced data transformation and manipulation compared to more comprehensive ETL tools.
  • Learning Curve
    Despite its user-friendly interface, some users may still face a learning curve, particularly when dealing with complex queries or integrating multiple data sources.
  • Support Limitations
    Support options may be somewhat limited and response times can vary, potentially leading to delays in resolving critical issues or questions.
  • Dependence on Third-Party Services
    Since Supermetrics relies on APIs from various platforms, any changes or disruptions in those third-party services can directly impact the functionality and reliability of Supermetrics.

assertpy features and specs

  • Fluent API
    Assertpy offers a fluent API that makes assertions more readable and expressive, enabling developers to write assertions in a natural language style that is easy to understand.
  • Chainable Assertions
    It allows for chainable assertions, enabling multiple checks to be performed in a single line of code, thereby reducing verbosity and enhancing clarity.
  • Comprehensive Assertion Methods
    The library provides a wide range of built-in assertion methods, catering to various types of data validations, such as checking for size, type, value, and more.
  • Extensibility
    Assertpy supports extending its functionality by defining custom assertions, allowing developers to tailor it to their specific needs.
  • Pythonic
    Designed with Pythonic principles in mind, Assertpy fits seamlessly into Python projects, enabling idiomatic and consistent code style.

Possible disadvantages of assertpy

  • Learning Curve
    Developers new to the library may encounter a learning curve due to the distinct approach of using fluent and chainable assertions as opposed to traditional methods.
  • Limited by Python Version
    The library may have limitations in terms of compatibility with older versions of Python, requiring users to ensure their environment is up-to-date.
  • Performance Overhead
    The additional abstraction layer introduced by a fluent interface might introduce some performance overhead, especially in performance-critical or resource-constrained environments.
  • Less Community Support
    Compared to more established testing libraries, Assertpy might have less community support and fewer resources available for resolving issues or getting help.
  • Dependency Management
    Using a third-party library introduces additional dependencies to manage, which could complicate project maintenance and compatibility.

Analysis of Supermetrics

Overall verdict

  • Supermetrics is generally regarded as a good solution for businesses and individuals looking to optimize their marketing efforts through easy access to data. While it may not be the perfect tool for every situation, its ease of use and extensive integrations make it a popular choice among data-driven teams.

Why this product is good

  • Supermetrics is considered a valuable tool for marketers and analysts because it simplifies the process of data collection and analysis. It integrates with numerous data sources, including social media platforms, analytics tools, and advertising networks, allowing users to consolidate their data in one place. This streamlines reporting, saves time, and helps in generating insights quickly, ultimately aiding in more efficient data-driven decision-making.

Recommended for

  • Digital marketers looking to streamline their reporting process.
  • Marketing analysts who need to consolidate data from multiple sources quickly.
  • Businesses aiming to make data-driven decisions to enhance marketing strategy.
  • Agencies managing multiple clients and requiring efficient data management solutions.

Analysis of assertpy

Overall verdict

  • assertpy is a well-regarded, lightweight assertion library for Python that provides a fluent, chainable API for writing readable and expressive test assertions, making it a solid choice for improving test clarity.

Why this product is good

  • Offers a fluent, chainable assertion syntax that makes tests more readable and self-documenting
  • Comprehensive built-in assertions for strings, numbers, lists, dicts, files, dates, and more
  • Produces clear, descriptive failure messages that speed up debugging
  • Lightweight with minimal dependencies and easy to integrate into existing test suites
  • Framework-agnostic, working seamlessly with pytest, unittest, and other test runners
  • Actively maintained open-source project with good documentation and community support

Recommended for

  • Python developers who want more readable and expressive test assertions
  • Teams using pytest or unittest looking to enhance assertion clarity
  • Projects that value descriptive failure messages for faster debugging
  • Developers coming from fluent assertion libraries in other languages (like AssertJ or Chai)
  • QA engineers and testers writing maintainable, self-documenting test code

Supermetrics videos

Supermetrics Overview

assertpy videos

No assertpy videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Supermetrics and assertpy)
Marketing Analytics
100 100%
0% 0
Testing
0 0%
100% 100
Marketing
100 100%
0% 0
Python
0 0%
100% 100

Questions & Answers

As answered by people managing Supermetrics and assertpy.

What makes your product unique?

Supermetrics's answer

Supermetrics stands out for its ability to seamlessly connect, consolidate, and centralize data from over 150 marketing and sales platforms into preferred destinations, like spreadsheets, BI tools, and data warehouses. Its simplicity, reliability, and scalability make it accessible to organizations of all sizes, empowering marketers and analysts to save time and focus on insights.

Why should a person choose your product over its competitors?

Supermetrics's answer

Supermetrics began as a passion project in 2009 when our founder sought an easier way to pull marketing data into spreadsheets. What started as a simple solution has evolved into a globally trusted marketing intelligence platform, supporting over 200,000 organizations and earning recognition as one of the top software companies in EMEA.

How would you describe the primary audience of your product?

Supermetrics's answer

Supermetrics leverages cloud-based technologies, robust APIs, and advanced data integration frameworks to provide a seamless data pipeline. Its architecture ensures high performance, security, and scalability for a wide range of use cases.

What's the story behind your product?

Supermetrics's answer

Supermetrics offers unmatched simplicity and reliability in extracting and consolidating data. It supports an extensive range of platforms, provides automated workflows, and delivers exceptional customer support. These features help users focus on decision-making rather than manual data wrangling.

Which are the primary technologies used for building your product?

Supermetrics's answer

Our primary audience includes marketers, analysts, and business leaders looking to streamline their reporting and gain actionable insights. From small agencies to large enterprises, we serve professionals who value data-driven decision-making.

Who are some of the biggest customers of your product?

Supermetrics's answer

Supermetrics is trusted by global brands like Nestlรฉ, Warner Bros, Dyson, and Lโ€™Orรฉal, as well as thousands of agencies and growing businesses worldwide.

User comments

Share your experience with using Supermetrics and assertpy. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Supermetrics and assertpy

Supermetrics Reviews

Best Affordable Alternatives to Supermetrics
Supermetrics integrates marketing metrics with the places where customers currently save their data, whether itโ€™s a reporting app, a spreadsheet, a data lake, or a data warehouse. However, Supermetrics has some significant flaws. For example, it is expensive, has slow processing with large data sets, and does not provide a built-in reporting system. Without a doubt, this...
Source: adsbot.co
Top 5 Best Integration Software for 2023
Supermetrics is aimed primarily at streamlining marketing data. Integrating data from over 100 platforms, it makes a businessโ€™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 โ€“ 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 โ€” 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

assertpy Reviews

We have no reviews of assertpy yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Supermetrics seems to be more popular. It has been mentiond 8 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.

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: about 3 years 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 / over 3 years 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: almost 4 years 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 / about 5 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 5 years ago
View more

assertpy mentions (0)

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

What are some alternatives?

When comparing Supermetrics and assertpy, you can also consider the following products

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

grappa - grappa is an declarative, verbose, and expressive assertion library for Python.

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

Databox - Databox is modern Business Intelligence software for teams that need answers now.

Excel Dashboard School - Free Excel add-ins and tools on Excel Dashboard School. Boost your work productivity and save your time! No trials, 100% power!

KPI Dashboard in Excel - Professional Management KPI Dashboard. Includes trend charts, past year/target comparisons, monthly & cumulative analysis in performance dashboard.