The Jupyter Notebook: Web app for creating and sharing docs with live code, equations, visualizations & explanatory text.

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From the website:

The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.

dataset: Lightweight ORM for development written in Python

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dataset provides two key functions that make using SQL databases in
Python a breeze:

  • A simple abstraction layer removes most direct SQL statements without the necessity for a full ORM model – essentially, databases can be used like a JSON file or NoSQL store.

  • Database contents can be exported (frozen) using a sophisticated plain file generator with JSON and CSV support. Exports can be configured to include metadata and dynamic file names depending on the exported data. The exporter can also be used as a command-line tool, datafreeze.

JSON API: Specification for building APIs in JSON


From the JSON API website:

If you’ve ever argued with your team about the way your JSON responses should be formatted, JSON API can be your anti-bikeshedding tool.

By following shared conventions, you can increase productivity, take advantage of generalized tooling, and focus on what matters: your application.

Clients built around JSON API are able to take advantage of its features around efficiently caching responses, sometimes eliminating network requests entirely.