Somewhat contrary to what its name might lead you to believe at first, Architect is a compelling and feature-packed integrated development environment specifically designed with the needs of data scientists in mind.
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This open source and cross-platform IDE provides you with an impressive stack of features for data analytics, as well as for writing reports, and that's not all. You should also know that it can also be employed to manage servers in the cloud (such as AWS or Azure) and Docker infrastructure, connect to NoSQL databases, as well as monitor tasks on HPC systems.
It's entirely capable of working with R, Python, Julia, Scala, C++ and many other programming languages and it includes tools such as an integrated object browser and a data viewer as well as an R console. In addition, it also provides you with the necessary means to plot data, manage repositories and package development, as well as to manage and debug the code of your projects.
Architect can also help you define R snippets, debug installed packages, work with Git repositories, as well as build, test, and install various R packages. The fact that Architect supports a wide array of Eclipse plugins is also that might be of great interest for some users out there.
It may seem a bit behind other modern IDEs in terms of looks, but it sports an intuitive and relatively customizable UI nonetheless. There's the top toolbar that provides access to some of the most useful tools of the package, a typical, all-encompassing menu bar, a project explorer and an object explorer on the left, and a comprehensive console on the right.
Of course, just like in the case of most IDEs, most UI elements can be resized by dragging their borders and rearranged to fit your particular workflow and style. Views (tabs) can also be rearranged, moved about, split in half and even dragged outside the app's window.
To conclude, Architect is an efficient and incredibly feature-packed IDE that should meet the needs of most modern data scientists out there, capable of working on Windows, macOS, and Linux. Not only this, but it also features a fairly customizable UI and all the documentation you could ever need to learn all its ins and outs.
|File Size: 700 MB||Downloads: 5515|
|Added: Oct 25th 2017||
User rating: 5.0
Company: Open Analytics NV - -
|Supported Operating System: Win 7 64 bit, Win 8 64 bit, Win 10 64 bit|