Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
Supermetrics
Funnel.io
Whatagraph
Databox
Excel Dashboard School
KPI Dashboard in Excel
Fivetran
Kutools for Excel
Supermetrics started with a bold idea: to make mastering marketing data simple and accessible for businesses everywhere. Today, itโs 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 toolsโsuch as Google Analytics, Facebook Ads, and HubSpotโinto preferred destinations with ease.
As the marketing landscape evolves, so does Supermetrics. Our dedication to innovation has earned us recognition as one of G2โs 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.
Matplotlib SupermetricsSupermetrics'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.
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.
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.
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.
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.
Supermetrics's answer:
Supermetrics is trusted by global brands like Nestlรฉ, Warner Bros, Dyson, and LโOrรฉal, as well as thousands of agencies and growing businesses worldwide.
Based on our record, Matplotlib seems to be a lot more popular than Supermetrics. While we know about 114 links to Matplotlib, 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.
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
Supermetrics is a marketing data SaaS, they scaled internationally to more than $50M from Helsinki, Finland. Source: about 3 years ago
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
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
Supermetrics powers 90% of our reporting, with automated report building so we can monitor our ad performance. - Source: dev.to / about 5 years ago
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
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Funnel.io - Marketing analytics software for e-commerce companies and online marketers that automatically...
NumPy - NumPy is the fundamental package for scientific computing with Python
Whatagraph - Whatagraph is the most visual multi-source marketing reporting platform. Built in collaboration with digital marketing agencies
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
Databox - Databox is modern Business Intelligence software for teams that need answers now.
