D-Tale is the combination of a Flask backend and a React front-end to bring you an easy way to view & analyze Pandas data structures. It integrates seamlessly with ipython notebooks & python/ipython terminals. Currently, this tool supports such Pandas objects as DataFrame, Series, MultiIndex, DatetimeIndex & RangeIndex. D-Tale was the product of a SAS to Python conversion. What was originally a perl script wrapper on top of SAS's insight function is now a lightweight web client on top of Pandas data structures. To help guard against users loading the same data to D-Tale multiple times and thus eating up precious memory, we have a loose check for duplicate input data. If you are running ipython<=5.0 then you also have the ability to adjust the size of your output cell for the most recent instance displayed. JupyterHub has an extension that allows to proxy port for user, JupyterHub Server Proxy.
Features
- Access CLI Loaders in Notebook or Console
- It is now possible to run D-Tale with no data loaded up front
- Once you've loaded a file it will take you directly to the standard data grid comprised of the data from the file you loaded
- Custom Command-line Loaders
- You can choose to use optional authentication
- Users can build their own custom filters which can be used from the front-end