some links to projects/tools related to "open science". add to this by forking and pull-requesting.
in a similar vein to awesome-awesomeness.
- IPython Notebook (evolving into Jupyter): A browser-based notebook with support for code, rich text, mathematical expressions, inline plots and other rich media.
- Sage Math Cloud: Provides Sage, Python, and other environments for computing on the cloud; also provides terminal access and git commands for cloning repositories.
- Hypothes.is: Steps towards annotating and peer-reviewing the Web.
- Authorea: Backed by Pandoc and Git for collaborative document writing.
- ShareLaTeX: Online collaborative LaTeX editor
- WriteLaTeX: Online collaborative LaTeX editor
- Academic Torrents: Publish large datasets as torrents.
- Dat-Data: Dat is an open source project that provides a streaming interface between every file format and data storage backend.
- Code as a Research Object: Assign a DOI to your code and make it citable.
- Figshare: Platform for making research artefacts uploadable and citable.
- Reproduced papers: Collection of links to various researchers reproducing particular papers.
- Zenodo: Platform to host versions of code that can be cited; can be linked to GitHub.
- GitHub: (Naturally.)
- Open science framework: Collect together various sources (GitHub, DropBox, etc) into one spot.
- Trello and Libreboard (open source self-hosted alternative): Keep track of to-do items in various lists of lists; keep track of figures, comments, questions, issues, etc.
- ArXiv: e-Print archive
- ECCC: The Electronic Colloquium on Computational Complexity - new papers in TCS.
- SciRate: Front for the arXiv, with voting and comments and accounts.
- Complexity Zoo: Definitions of complexity classes in theoreticaly computer science.
- Mozilla Science Lab Forum
- nLab: A wiki-lab for collaborative work on Mathematics, Physics and Philosophy — especially from the n-point of view: insofar as these subjects are usefully treated with tools and notions of category theory or higher category theory.
- Probabilistic Programming and Bayesian Methods for Hackers: an intro to Bayesian methods and probabilistic programming from a computation/understanding-first, mathematics-second point of view. Uses python with pyMC for visualizing what's going on.