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| − | [ '''''[[Reproducibility|Back to main page]]''''' ]
| + | Moved to [https://github.com/ctuning/ck/wiki/Enabling-open-science-tools GitHub]. |
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| − | === '''Assorted tools'''<br/> ===
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| − | *[http://reproducible.io CARE tool from STMicroelectronics] (Comprehensive Archiver for Reproducible Execution)
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| − | *[http://www.pgbovine.net/cde.html CDE tool] (automatically create portable Linux applications with all dependencies)
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| − | *[https://www.docker.io Docker tool] (pack, ship and run applications as a lightweight container)
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| − | *[http://ipython.org/notebook.html IPython Notebook] (a web-based interactive computational environment where you can combine code execution, text, mathematics, plots and rich media into a single document)
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| − | *[http://www.rstudio.com R-studio] (Open source and enterprise-ready professional software for R)
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| − | *[https://www.codalab.org Codelab] (an experimental platform for collaboration and competition)
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| − | *[http://figshare.com FigShare] (managing research in a cloud)
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| − | *[http://www.taverna.org.uk Taverna] (designing and executing workflows)
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| − | *[http://boinc.berkeley.edu BOINC] (open-source software for volunteer computing and grid computing)
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| − | *[http://hal.inria.fr/inria-00436029 <span data-scayt_word="cTuning" data-scaytid="79">cTuning</span> technology] (crowdsource auto-tuning and combine with machine learning using big data, predictive analytics and crowdsourcing) (2006-cur.)
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| − | *[http://c-mind.org/repo Collective Mind technology] (towards collaborative, systematic and reproducible computer engineering using big data, predictive analytics and collective intelligence) (2011-cur.)
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