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Assorted (offline and online) tools

  • Docker tool - pack, ship and run applications as a lightweight container
  • VirtualBox - create VM images
  • OCCAM - open curation for computer architecture modeling
  • ReproZip - automatically packing experiments (related article)
  • CARE tool - Comprehensive Archiver for Reproducible Execution
  • RR - Mozilla project: records nondeterministic executions and debugs them deterministically
  • CDE tool - automatically create portable Linux applications with all dependencies
  • IPython Notebook - a web-based interactive computational environment where you can combine code execution, text, mathematics, plots and rich media into a single document
  • R-studio - open source and enterprise-ready professional software for R
  • Codelab - an experimental platform for collaboration and competition
  • Grid5000 - large-scale and versatile testbed for experiment-driven research in all areas of computer science, with a focus on parallel and distributed computing including Cloud, HPC and Big Data
  • MyGrid - develops a suite of tools designed to "help e-Scientists get on with science and get on with scientists"
  • FigShare - managing research in a cloud
  • RunMyCode - online workflows
  • AptLab - online workflows
  • Taverna - designing and executing workflows
  • BOINC - open-source software for volunteer computing and grid computing
  • NGS pipelines - integrates pipelines and user interfaces to help biologists to analyse data outputed from biological applications such as RNAseq, sRNAseq, ChipSeq, BS-seq
  • SEEK for Science - finding, sharing and exchanging Data, Models, Simulations and Processes in Science
  • Skoll - a process & Infrastructure for Distributed, continuous Quality assurance
  • NEPI - simplifying network experimentation
  • Burrito - rethinking the Electronic Lab Notebook
  • Org mode - keeping notes, maintaining TODO lists, planning projects, and authoring documents with a fast and effective plain-text system
  • open source cTuning technology - towards collaborative and reproducible performance autotuning via public repository of optimization knowledge, crowdsourcing, machine learning and collective intelligence (2006-cur.)

Collective Knowledge Framework

  • Collective Knowledge Framework - tiny, open source, python application (~200Kb) to help researchers decompose their ad-hoc experimental workflows, benchmarks, data sets, scripts and VM/Docker images into reusable and customizable components with Python wrappers and unified JSON API while using already installed and possibly proprietary tools, benchmarks and data sets:

(C) 2011-2014 cTuning foundation