Databox
Geckoboard
Grow
Klipfolio
Glew.io
Polar Analytics
Google Data Studio
Whatagraph
Pandas
NumPy
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
Databox pulls all your data into one place, so you can track performance and discover insights in real-time.
Databox PandasBased on our record, Pandas seems to be a lot more popular than Databox. While we know about 201 links to Pandas, we've tracked only 6 mentions of Databox. 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 / 13 days ago
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 18 days ago
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / about 2 months ago
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 2 months ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 2 months ago
Geckoboard - Get to know Geckoboard: Instant access to your most important metrics displayed on a real-time dashboard.
NumPy - NumPy is the fundamental package for scientific computing with Python
Grow - Grow is a business intelligence software that empowers businesses to become data-driven and...
OpenCV - OpenCV is the world's biggest computer vision library
Klipfolio - Klipfolio is an online dashboard platform for building powerful real-time business dashboards for your team or your clients.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
