SQL + Python + R.
All in one environment.

Use Python and R to wrangle data and deliver analysis without switching applications.

The only analytics platform with native Python & R Notebooks

Write SQL in Mode, and your query results are automatically piped to a dataframe in pandas or R. Access your results in Mode's native Notebook with one click. Explore, analyze, iterate—then share R- or Python-powered reports with anyone, instantly.

Built-in documentation

A handy sidebar with getting started tips, keyboard shortcuts, and documentation is right there when you need it and seamlessly moves out of the way for a full screen notebook experience.

Choose between Python & R

Notebooks now accessible to every user. Simply pick the tool that best suits your needs and experience.

3 easy ways to share analysis powered by Python or R

Tell your data's story with the best tool for the job and the easiest one to share. With no development environment needed, you can get results to anyone on your team in minutes.

1 Curate an R- or Python-powered dashboard

2 Drop output cells into a report

3 Or, share the whole Notebook

Notebooks that play well with others

No lengthy setup

Get everyone up and running in minutes by delivering Notebook-powered results right in your browser.

No tedious imports & exports

Say goodbye to multiplying files with one central, integrated source of truth for all your work.

No dev environment needed

Empower everyone on your team to run R- and Python-powered reports themselves—without ever touching code.


Supported Python Libraries

Mode supports 60+ of the world's most popular Python libraries for advanced analytics.

Plus you can use pip to work with additional public libraries.

Stats & exploratory analysis
  • Numpy
  • pandas
  • SciPy
  • Statsmodels
  • Patsy
  • Emcee

Machine learning
  • Scikit-learn
  • TensorFlow
  • Keras
  • Theano
  • Lifelines

Data visualization
  • Matplotlib
  • Plotly
  • Seaborn
  • Geomap
  • Folium
  • Networkx
  • Basemap

Scraping & NLP
  • BeautifulSoup
  • NLTK
  • ScraPy
  • Requests
  • Gensim
  • TextBlob

Supported R Libraries

Mode supports 60+ of the world's most popular R packages for advanced analytics.

Plus you can use install to work with additional public libraries.

Data manipulation & wrangling
  • Dplyr
  • DMwR
  • Lubridate
  • Plyr
  • Magrittr
  • Reshape2
  • Stringr
  • Tidyr

Machine learning & statistics
  • Caret
  • CausalImpact
  • Cluster
  • LogicReg
  • Nnet
  • Prophet
  • TensorFlow

  • GGally
  • Ggplot2
  • Ggpubr
  • Ggridges
  • Lattice
  • Plotly
  • RColorBrewer
  • Scales

Get started