References#
ITables is a wrapper for the datatables-net Javascript library, for Python. That library is developped by SpryMedia and made available under a MIT license. It has an extensive documentation, as well as a large set of examples.
ITables and its alternatives#
Jupyter Widgets#
In Jupyter or VS Code, ITables can render your dataframes using either HTML (with init_notebook_mode(all_interactive=True)
or show
) or the ITable
widget.
Other Jupyter widgets that let you render a dataframe in Jupyter are
Dash component#
Since ITables v2.3.0 you can use our ITable
component in Dash applications.
Alternatives for rendering DataFrames in Dash are
Streamlit#
In ITables v2.1.0 we added the interactive_table
component that can be used in Streamlit applications.
Alternative for rendering DataFrames in Streamlit are
DT in R#
The R package DT is a wrapper for DataTables that you can use both in R notebooks and R Shiny applications.
D-Tale#
D-Tale lets you explore your Python DataFrames in the browser, using a local server.