mixpanel.comSoftware by Mixpanel
I recommend Mixpanel to anyone who needs to do tracking of user behavior in web applications in order to measure against goals.
Based on our record, OpenCV should be more popular than Mixpanel. It has been mentiond 52 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.
Mixpanel — 100,000 monthly tracked users, unlimited data history and seats, US or EU data residency. - Source: dev.to / 5 months ago
You can test sales copy with Mixpanel to see where your traffic is coming from so you can see which content (Informative or promotional) generates the most engagement. Source: 8 months ago
Custom Data Collection As you grow you can consider a bit more precise configurations and data analytics approachs. Implement custom data collection through or event tracking for example via Mixpanel. This allows you to capture specific metrics tailored to your product's unique needs. - Source: dev.to / about 1 year ago
I am looking into whether you have experienced any pain points or issues not solved by current analytics platforms. By current solutions I'm talking plausible.io, mixpanel.com, usermaven.com and alike, providing features such as: total visitors, page views, online users, custom events tracking, top sources. Source: over 1 year ago
Ten years ago, there was a popular Ask HN: "what's your startup’s analytics setup?” [0]. Like the poster then (malandrew), I have the same problem in 2023: Selecting analytics solutions for the startup I'm working at has proven to be more daunting than I imagined. There are many services to choose from and it's not immediately obvious how you should choose from the many offerings to get not only complete analytics... - Source: Hacker News / over 1 year ago
How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 7 days ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / about 1 month 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: 7 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 11 months ago
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Adobe Analytics - Adobe Analytics is an industry-leading solution that empowers you to understand your customers as people and steer your business with customer intelligence.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Matomo - Matomo is an open-source web analytics platform
NumPy - NumPy is the fundamental package for scientific computing with Python