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Continuum Analytics Releases Wakari for Easy Publishing and Sharing of Data Analyses
Browser-Based, Python Data Analysis Platform Enables Collaboration through Interactive Dashboards, Visualizations and Scientific Notebooks
Wakari facilitates collaboration by placing the full power of scientific Python in the browser, without requiring a large software download. Scientists and analysts can focus on writing code and exploring data, confident that their collaborators will be able to reproduce their results.
“As programmers, analysts and data scientists ourselves, we are fervent believers that data should be shareable and time should be spent writing code – not working to set up a complex system,” said Peter Wang, co-founder and president of Continuum Analytics. “We built Wakari to make this vision a reality. By making it easy for people to share their analyses and visualizations – with all of its backing data and code, regardless of size – Wakari is solving a long-standing problem for the data analysis community.”
Wakari builds on Anaconda, providing access to essential libraries, including SciPy, NumPy, IPython, Matplotlib and all the scikits and mpi4py. It includes the latest packages of Pandas for data analysis and Numba to compile Python code to native code. It also allows users to run code in multiple ways, including IPython shell integration, IPython notebook integration and a full-featured Linux shell environment.
More information on Wakari, including upcoming features and how to apply for the beta program, can be found at http://www.continuum.io/
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