NumPy vs i-DOCS
Overview
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Detailed Comparison
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases. | It is a leading provider in the specialized market of Enterprise Output Management. i-DOCS develops products and offers services that handle big volumes of sensitive data, automate business processes, deliver multi-channel communications, serve, store, archive data and documents. |
Powerful n-dimensional arrays;
Numerical computing tools;
Interoperable;
Performant;
Easy to use | ETL (extract transform load) services; Third party integration services; Output management- migration services; Output management -document design/redesign services; Big data & business analytics |
Statistics | |
GitHub Stars 30.7K | GitHub Stars - |
GitHub Forks 11.7K | GitHub Forks - |
Stacks 4.3K | Stacks 1 |
Followers 799 | Followers 0 |
Votes 15 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
| No integrations available | |
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