The data community’s workbench

Work on your own projects, collaborate with others, and share with the whole community on a secure cloud-based platform.
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One place for all your projects

Whether you’re munging data, need a couple CPUs to run a quick visualization, or a bunch of GPUs for intensive modeling, MatrixDS lets your projects grow and change as needed.

Use your favorite tools

Use whatever tools you’re comfortable with, or explore other professional industry tools to use in your projects.

Be part of a community

Publish your best projects for others to ForkLift and build from, build a following, and get to know other leading data workers.
MatrixDS is tool I use often when I teach. It makes it easy for my students to work in teams to analyze data or run a simulation using R and Python. MatrixDS lets my TAs and students spend time focusing on the data instead of on installing Python and sharing files, or troubleshooting version control, file sharing, and other technical issues.

David Scheinker
Adjunct Professor, Management Science and Engineering

I love that I have the ability to seamlessly collaborate on data projects hosted on the cloud that free up computational space on my personal machine. Anyone who is looking to collaborate on data projects, work from the cloud without hassle, or uses a variety of tools for the same project - really anyone interested in analyzing data - will find it a useful product.

Giovanni Malloy
Ph.D. Student, Management Science and Engineering

ZeeMee was in need of a partner to assist in taking data manipulation and analysis to the next level during a time of growth in the number of clients and in the amount of data handled. MatrixDS provided both the tools and expertise to manage that growth while also enhancing reporting and analysis.

Garvel Kindrick
Director of Data Research

WAYS TO GET STARTED

Grab one of our starter projects

We’ve put together a few projects to demonstrate the power of the Matrix
Check them Out

Forklift a community project

Browse through projects to find something interesting to start from
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