Visually explore and analyze Big Data from any Jupyter Notebook

Get histograms, frequency charts and stats from files, databases or Pandas 🐼 in any python notebook using Pyspark. Use it for free.

Histograms, frequency plots and advance stats for every column

Forget the back and forth of plotting and explore histograms, frequency charts, and stats. All info you need in the place it should be.

A simple column can have integers and string or have dates in multiple formats. Bumblebee can help you to detect this an clean your data.

Encrypted

All your data is encrypted end to end using Fernet, from your notebook to your browser.
Local, on-premise or in the cloud

From your laptop, in your company cluster or from cloud servers. Analyze your data from anywhere.
Just pyspark and your jupyter notebook

You do not need to learn a new language or software. Just start analyzing your data using pyspark, Optimus, and your Python notebook.

>> pip install optimuspyspark

	# Be sure to install >> pip install optimuspyspark
	from optimus import Optimus
	op= Optimus(master="local[*]", comm = True)
	df = op.load.csv("https://raw.githubusercontent.com/ironmussa/Optimus/master/examples/data/crime.csv")
	df.send("crime")

view raw bumblebee.py hosted with ❤ by GitHub

In 5 min discover how Bumblebee can help you to make you work faster.

On cloud service. Share code and files. Schedule jobs. Empower your Data Science team to explore and share findings to the entire company.