Open-science, Open-source Infrastructure
QuantEcon is dedicated to building open-source tools that enable us to deliver our mission, while maximizing our contribution to the broader open-source open-science community.
Current Projects
History
For over 10 years, QuantEcon has played a key role in assembling international teams of developers to build the next generation of open-source tools for modern, computational compatible publishing.
Internationalization Project
Developing action-translation, a GitHub Action that uses AI to automatically synchronize translations across QuantEcon lecture repositories. This tool streamlines the creation and maintenance of multilingual lecture content.
Jupyteach
QuantEcon partners with Valorum Data to work on a new, modern learning management system (LMS) to support delivery of QuantEcon courses online. This platform is used to deliver our annual QuantEcon summer course in West Africa.
sphinx-proof, sphinx-exercise, and sphinx-tojupyter
QuantEcon continues to develop infrastructure in the EBP community including sphinx-exercise and sphinx-proof to support more advanced scientific markup. We also built sphinx-tojupyter that enables building Jupyter notebooks from MyST source files.
Jupyter Book
QuantEcon formed a partnership with Chris Holdgraf (UC Berkeley) and Caporaso Labs which became known as the Executable Books Project. After a period of intense development, Jupyter Book was released in late 2020. The project also extended markdown through the introduction of MyST.
Funding: Alfred P. Sloan Foundation
Jupinx (Historical)
QuantEcon built Jupinx, an open source tool for converting ReStructuredText source files into a website via Jupyter Notebooks. Note: Jupinx has been superseded by Jupyter Book.
Funding: Alfred P. Sloan Foundation
sphinxcontrib-jupyter
QuantEcon developed sphinxcontrib-jupyter, a sphinx extension that enabled the generation of Jupyter notebooks from reStructuredText source files.
Funding: Alfred P. Sloan Foundation
QuantEcon Notes
QuantEcon developed Bookshelf, an open-source platform for sharing and discussing Jupyter notebooks for the global economics community.
Sphinx
The sphinx documentation engine was adopted by QuantEcon to build lectures that enabled the inclusion of Python code. While not built for purpose, the QuantEcon team developed custom scripts to support the initial QuantEcon lecture website and PDF generation.
Funding: Alfred P. Sloan Foundation