Databox
Geckoboard
Grow
Klipfolio
Glew.io
Polar Analytics
Google Data Studio
Whatagraph
OpenCV
Pandas
Scikit-learn
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
Databox pulls all your data into one place, so you can track performance and discover insights in real-time.
Databox OpenCVBased on our record, OpenCV should be more popular than Databox. 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.
Databox — Business Insights & Analytics by combining other analytics & BI platforms. Free Plan offers 3 users, dashboards & data sources. 11M historical data records. - Source: dev.to / 5 months ago
You need a plan that gives you access to workflows, and the ad events tool. If you can also get the lower tier of a paid databox subscription for reporting. Source: over 1 year ago
I've actually just read about this service on another post, but if it's just a way to display the data from a Google Ads account that makes it easy to interpret and to share then you can get a free account here: https://databox.com. Source: over 1 year ago
Another option is to go with something like https://databox.com/ with built-in reporting. $250 just to white label the reports seems excessive though. Source: over 1 year ago
Databox — Business Insights & Analytics by combining other analytics & BI platforms. Free Plan offers 3 users, dashboards & data sources. 11M historical data records. - Source: dev.to / almost 3 years 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 / 15 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 / 7 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
Geckoboard - Get to know Geckoboard: Instant access to your most important metrics displayed on a real-time dashboard.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Grow - Grow is a business intelligence software that empowers businesses to become data-driven and...
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Klipfolio - Klipfolio is an online dashboard platform for building powerful real-time business dashboards for your team or your clients.
NumPy - NumPy is the fundamental package for scientific computing with Python
