Supermetrics
Whatagraph
Funnel.io
Databox
Polar Analytics
Glew.io
Triple Whale
Attribution
OpenCV
Pandas
Scikit-learn
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
Supermetrics OpenCVBased on our record, OpenCV should be more popular than Supermetrics. It has been mentiond 51 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 is a marketing data SaaS, they scaled internationally to more than $50M from Helsinki, Finland. Source: 12 months 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 / about 1 year 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: over 1 year ago
Supermetrics powers 90% of our reporting, with automated report building so we can monitor our ad performance. - Source: dev.to / almost 3 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 3 years ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / 25 days ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 6 months ago
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 6 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 11 months ago
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 11 months ago
Whatagraph - Whatagraph is the most visual multi-source marketing reporting platform. Built in collaboration with digital marketing agencies
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...
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Databox - Databox is Business Analytics platform that helps companies deliver insights and analytics anytime and anywhere.
NumPy - NumPy is the fundamental package for scientific computing with Python