Pandas vs RapidMiner
Overview
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Detailed Comparison
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more. | It is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment. |
Easy handling of missing data (represented as NaN) in floating point as well as non-floating point data;Size mutability: columns can be inserted and deleted from DataFrame and higher dimensional objects;Automatic and explicit data alignment: objects can be explicitly aligned to a set of labels, or the user can simply ignore the labels and let Series, DataFrame, etc. automatically align the data for you in computations;Powerful, flexible group by functionality to perform split-apply-combine operations on data sets, for both aggregating and transforming data;Make it easy to convert ragged, differently-indexed data in other Python and NumPy data structures into DataFrame objects;Intelligent label-based slicing, fancy indexing, and subsetting of large data sets;Intuitive merging and joining data sets;Flexible reshaping and pivoting of data sets;Hierarchical labeling of axes (possible to have multiple labels per tick);Robust IO tools for loading data from flat files (CSV and delimited), Excel files, databases, and saving/loading data from the ultrafast HDF5 format;Time series-specific functionality: date range generation and frequency conversion, moving window statistics, moving window linear regressions, date shifting and lagging, etc. | Graphical user interface;
Analysis processes design;
Multiple data management methods;
Data from file, database, web, and cloud services;
In-memory, in-database and in-Hadoop analytics;
Application templates;
-D graphs, scatter matrices, self-organizing map;
GUI or batch processing |
Statistics | |
GitHub Stars - | GitHub Stars 0 |
GitHub Forks - | GitHub Forks 0 |
Stacks 1.8K | Stacks 36 |
Followers 1.3K | Followers 65 |
Votes 23 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
What are some alternatives to Pandas, RapidMiner?
JavaScript
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Python
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PHP
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Ruby
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Java
Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!
Golang
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HTML5
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C#
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Scala
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Elixir
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