Native R & Python Notebooks
From SQL, explore your analysis using R or Python Notebooks.
How it works
Analyze
Write SQL and start analyzing your data.
Extend
Extend your analysis using Notebooks with one click.
Share
Share R- or Python-powered reports with anyone, instantly.
Why teams love our Notebooks
Create and reuse custom formulas on your existing query result set.
Intuitive actions give you precise control for deep data exploration.
Present data in a wide range of interactive charts, pivot tables, and more.
Onboard new Python libraries with Python Edge
Get more time to update reports and try out functionality after a library update occurs.
Read more about Python Edge
Supported 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.
- Numpy
- pandas
- SciPy
- Statsmodels
- Patsy
- Emcee
- Scikit-learn
- TensorFlow
- Keras
- Theano
- Lifelines
- Matplotlib
- Plotly
- Seaborn
- Geomap
- Folium
- Networkx
- Basemap
- BeautifulSoup
- NLTK
- ScraPy
- Requests
- Gensim
- TextBlob
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.
- Dplyr
- DMwR
- Lubridate
- Plyr
- Magrittr
- Reshape2
- Stringr
- Tidyr
- Caret
- CausalImpact
- Cluster
- LogicReg
- Nnet
- Prophet
- TensorFlow
- GGally
- Ggplot2
- Ggpubr
- Ggridges
- Lattice
- Plotly
- RColorBrewer
- Scales
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