A toolkit for open source researchers
What it feels like to be an open-source maintainer
Outside your door stands a line of a few hundred people. They are patiently waiting for you to answer their questions, complaints, pull requests, and feature requests. You want to help all of them,…
What it feels like to be an open-source maintainer
Outside your door stands a line of a few hundred people. They are patiently waiting for you to answer their questions, complaints, pull requests, and feature requests. You want to help all of them,…
Doing Data Science on the Shoulders of Giants: The Value of Open Source Software for the Data Science Community
Open source software is ubiquitous throughout data science, and enables the work of nearly every data scientist in some way or another. Open source projects, however, are disproportionately maintained by a small number of individuals, some of whom are institutionally supported, but many of whom do this maintenance on a purely volunteer basis. The health of the data science ecosystem depends on the support of open source projects, on an individual and institutional level.
WRKSHP.tools | Tool Overview
Search over 30 different innovation tools and download them for free
Open Source
These GitHub repositories contain open-source software developed by the Observatory on Social Media for various projects
Beyond APIs: Collecting Web Data for Research using the National Internet Observatory
Widespread Internet use offers unprecedented opportunities to study human behavior at scale, yet researchers face significant ethical and technical barriers when attempting to collect data for academic studies.
swyx on Twitter / X
icymi, openai also open sourced how their deep research prompt rewriter works + the full prompts todayyou can now build your own deep research agent - with full o3/o4-mini deep research quality - in 20LOCif you're a fan of Claude Research they ALSO dropped how to add… pic.twitter.com/5moxXjzqTj— swyx (@swyx) June 27, 2025
Introduction to Open Science
This course introduces the principles and practices of open science, with an emphasis on reproducible research workflows, transparent reporting, and collaborative scholarship. Students will critically examine reproducibility, explore tools that support openness (such as Git, GitHub, and Quarto), and apply these tools in hands-on assignments and a final open project. Students will also explore how open science practices vary across disciplines, including education, humanities, social sciences, industry and government, and STEM contexts. This course emphasizes applying open science principles to real-world data problems in alignment with the principles of producing reproducible research.
Linking the world's research to the code it runs on - OpenAlex blog
Research relies on software. Software written by scientists, for science, runs through the entire modern research stack: NumPy and SciPy, R and ggplot2, Jupyter, BLAST, ImageJ, AlphaFold. Yet in the scholarly record, that software is nearly invisible. Software is not usually cited formally in publications and is usually just mentioned in the text, which means […]
sourcehut - the hacker's forge
sourcehut is a network of useful open source tools for software project maintainers and collaborators, including git repos, bug tracking, continuous integration, and mailing lists.
Open Source Explained — Open Indie
Musings on the concept of ‘open source’, in the broadest possible definition of the term. Also an invitation to become a participant in ...
Working in Public: The Making and Maintenance of Open S…
An inside look at modern open source software developer…
On open-science research labs on discord and online , and getting more people.
From novices to co-pilots: Fixing the limits on scientific knowledge production by accessing or building expertise
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