Skip to main content
Home
Contact us
Watch Demo
  • Rev 2026
Contact us
Watch Demo
Domino's logo

Who is Domino?

Domino Data Lab empowers the largest AI-driven enterprises to build and operate AI at scale. Domino’s Enterprise AI Platform provides an integrated experience encompassing model development, MLOps, collaboration, and governance. With Domino, global enterprises can develop better medicines, grow more productive crops, develop more competitive products, and more. Founded in 2013, Domino is backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake, and other leading investors.

Watch Demo
  • Platform

      • AI infrastructure
      • Data management
      • AI workbench
      • MLOps
      • AI governance
      • FinOps
      • Pricing
      • Security & compliance
      • What's new
  • Solutions

    • Industries

      • Life sciences
      • Finance
      • Public sector
      • Retail
      • Manufacturing
    • Use Cases

      • Generative AI
      • Cost-effective data science
      • Self-service data science
      • Model risk management
      • Cloud data science
  • Learn

      • Events
      • Blog
      • Podcast
      • Courses and certifications
      • Data Science Dictionary
      • Documentation
      • Support
      • Demo hub
  • Company

      • About
      • Why Domino
      • Careers
      • News and press
      • Partners
      • Customers
      • Contact us

© 2026 Domino Data Lab, Inc. Made in San Francisco.

  • Do not sell my personal information
  • Privacy policy
  • Terms and conditions
  • Security
  • Legal
  • Agentic AI
  • AI Governance
  • Airflow
  • Anaconda
  • Apache Spark
  • Artificial Intelligence
  • Clustering
  • Dask
  • Data Science
  • Density-based clustering
  • dplyr
  • Factor analysis
  • Feature
  • Feature Engineering
  • Feature Extraction
  • Feature selection
  • Folium
  • GenomicRanges
  • ggmap
  • ggplot
  • GPU
  • Ground Truth
  • Hash table
  • Hyperparameter Tuning
  • Interpretability
  • Jupyter Notebook
  • Kubernetes
  • LLMOps
  • Machine Learning
  • Machine Learning Algorithms
  • MLOps
  • Model Drift
  • Model Evaluation
  • Model monitoring
  • Model Selection
  • Model Tuning
  • Overfitting
  • Plotly
  • PySpark
  • PyTorch
  • Responsible AI
  • Shiny (in R)
  • sklearn
  • spaCy
  • SR 26-2
  • Statistical Computing Environment (SCE)
  • TensorFlow
  • Underfitting
  • XGBoost
  • Folium

    What is Folium?

    Folium is a powerful Python library that helps you create several types of Leaflet maps. By default, Folium creates a map in a separate HTML file. Since Folium results are interactive, this library is very useful for dashboard building. You can also create inline Jupyter maps in Folium.

    Folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the Leaflet.js library. Using Folium, you can manipulate your data in Python, then visualize it in a Leaflet map.

    Folium enables you to generate a base map of specified width and height with either default map tile sets (i.e., map styles) or a custom tile set URL. The following tile sets are available by default with Folium:

    • OpenStreetMap
    • Mapbox Bright
    • Mapbox Control Room
    • Stamen (incl. Terrain, Toner, and Watercolor)
    • Cloudmade
    • Mapbox
    • CartoDB (incl. positron and dark_matter)

    Folium also supports choropleth maps. A choropleth map – from Greek χώρο (“area/region”) + πλήθος (“multitude”) – is a thematic map in which areas are shaded or patterned in proportion to the measurement of the statistical variable being displayed on the map, such as population density or per-capita income.

    Choropleth map in Folium with crime statistics

    Folium map of San Francisco
    Folium map of San Francisco

    Source: Domino

    Installation

    $ pip install folium

    or

    $ conda install -c conda-forge folium

    Summary

    • Choropleth map in Folium with crime statistics
    • Installation