Orchest vs Pandas
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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 web-based data science tool that works on top of your filesystem allowing you to use your editor of choice. With Orchest you get to focus on visually building and iterating on your pipeline ideas. Under the hood Orchest runs a collection of containers to provide a scalable platform that can run on your laptop as well as on a large scale cloud cluster. |
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. | Visual pipeline editor; Executable notebooks; Open source |
Statistics | |
GitHub Stars - | GitHub Stars 4.1K |
GitHub Forks - | GitHub Forks 264 |
Stacks 2.1K | Stacks 1 |
Followers 1.3K | Followers 12 |
Votes 23 | Votes 0 |
Pros & Cons | |
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Integrations | |
What are some alternatives to Pandas, Orchest?
NumPy
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PyXLL
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SciPy
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Dataform
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PySpark
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Anaconda
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Dask
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Pentaho Data Integration
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StreamSets
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KNIME
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