Ibis
  • Getting started
    • Installation
    • Tutorial: getting started
    • Tutorial: Ibis for dplyr users
    • Tutorial: Ibis for pandas users
    • Tutorial: Ibis for SQL users

    • Browser
    • JupyterLite console

    • Cloud Data Platforms
    • ClickHouse
    • Starburst Galaxy

    • Open Source Software
    • Apache Flink
  • Concepts
    • Why Ibis?
    • Composable data ecosystem
    • Datatypes and Datashapes
    • Internals
    • User testimonials
    • Versioning policy
    • Who supports Ibis?
  • Backends
    • Amazon Athena
    • BigQuery
    • ClickHouse
    • Dask
    • DataFusion
    • Druid
    • DuckDB
    • Exasol
    • Flink
    • Impala
    • MSSQL
    • MySQL
    • Oracle
    • pandas
    • Polars
    • PostgreSQL
    • PySpark
    • RisingWave
    • Snowflake
    • SQLite
    • Trino

    • Support
    • Cloud backend support policy
    • Operation support matrix
    • Operations
  • How-to
    • Configure
    • Basic configuration

    • Input Output
    • Basic input/output
    • Read parquet files with Ibis
    • Loading Google Cloud Storage files with DuckDB
    • Work with multiple backends

    • Analytics
    • Basic analytics
    • Chaining expressions
    • Analyze IMDB data using Ibis

    • Visualization
    • Altair + Ibis
    • GraphViz + Ibis
    • marimo + Ibis
    • matplotlib + Ibis
    • Plotly + Ibis
    • plotnine + Ibis
    • seaborn + Ibis
    • Streamlit + Ibis

    • Extending
    • Reference built-in functions
    • Using SQL strings with Ibis
    • Ibis for streaming
    • Write and execute unbound expressions
  • Reference
    • Expression API
    • Table expressions
    • selectors
    • Generic expressions
    • Numeric and Boolean expressions
    • String expressions
    • Temporal expressions
    • Collection expressions
    • JSON expressions
    • Geospatial expressions

    • Type system
    • Data types
    • Schemas

    • UDFs
    • Scalar UDFs
    • Aggregate UDFs (experimental)

    • Connection APIs
    • Top-level connection APIs

    • Configuration
    • Interactive
    • Options
    • Repr
    • SQL

    • Cursed Knowledge
    • Cursed Knowledge
  • Posts
  • Presentations
  • Release notes
  • Contribute
    • Contribute
    • Setting up a development environment
    • Contribute to the Ibis codebase
    • Style and formatting
    • Maintaining the codebase
    • Test class reference
  • Source code
  • Report a bug
  • Report a documentation issue
  • Submit a feature request
  • Ask the community for help
  1. Browser
  2. JupyterLite console
  • Installation
  • Tutorial: getting started
  • Tutorial: Ibis for dplyr users
  • Tutorial: Ibis for pandas users
  • Tutorial: Ibis for SQL users
  • Browser
    • JupyterLite console
  • Cloud Data Platforms
    • ClickHouse
    • Starburst Galaxy
      • Requirements and setup
      • Basic operations
  • Open Source Software
    • Apache Flink
      • Getting started
      • A real-life use case: fraud detection
  1. Browser
  2. JupyterLite console

JupyterLite console

Try our experimental JupyterLite console with Ibis, using the Palmer penguins1 dataset loaded into the DuckDB backend!

Ibis in the browser is experimental.

iOS is known to crash on this page.

Mobile Firefox may also not work (the page won’t crash though).

Please open an issue on GitHub if you encounter problems.

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Footnotes

  1. Horst AM, Hill AP, Gorman KB (2020). palmerpenguins: Palmer Archipelago (Antarctica) penguin data. R package version 0.1.0. https://allisonhorst.github.io/palmerpenguins/. doi: 10.5281/zenodo.3960218.↩︎

 
 
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