The Yhat Blog

machine learning, data science, engineering

Rodeo: A data science IDE for Python

by Greg |

Today we're excited to introduce a new project: Rodeo. Rodeo is an IDE that's built expressly for doing data science in Python. Think of it as a light weight alternative to the IPython Notebook.

We've been using it for projects internally, but today we're releasing it to the public! We hope you like it as much as we do.

A quick overview. Click to enlarge.

Why we built it

I like the IPython Notebook for presentations and tutorials, but I often find it a little cumbersome for day to day work. I generally prefer to work in a fairly minimalist environment like Sublime Text or VIM. Juxtaposed with the notebook, and it makes the notebook feel really bloated.

The things I really need when I'm analyzing data are:

  • a terminal with autocomplete
  • a text editor
  • ability to see plots

Given how minimal my requirements were, it was a bit frustrating that there doesn't seem to be a lightweight option for Python.


The easiest way to get going is to download it!.

An IDE for doing data science on your desktop.

Download the latest version of Rodeo here!

Rodeo in action

Rodeo is designed to be a simple, lightweight alternative to the IPython Notebook. It runs in your browser, but has the keyboard shortcuts and interactivity to make it feel more like a native app.

Autocomplete from either your editor or the console.

Execute commands in the console.

Autocomplete for objects and function properties.

Plots are displayed inside the application.

Click to view data frames and their content. You can CTRL + F to find specific data.

Tutorials for getting started doing data science in Python.

Before you go

We know Rodeo is far from perfect. If you find any bugs or have feature ideas, feel free to submit them as GitHub Issues. We're working on adding a tighter IPython integration along with better file i/o and directory display.

Appendix: How it works

Rodeo uses the IPython kernel under the hood to handle communication between the UI and your python environment. In this regard, you can sort of think of it as an alternative front end to the IPython Notebook.

For the editor, we're using Ace. It's easy to use and looks great! We're going to be incorporating some additional Ace features as configurable preferences for Rodeo in the near future.

Our Products

Rodeo: a native Python editor built for doing data science on your desktop.

Download it now!

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Yhat (pronounced Y-hat) provides data science solutions that let data scientists deploy and integrate predictive models into applications without IT or custom coding.