JGR provides an integrated graphical R console, script editor, object browser, data viewer and searchable help for statistical work.
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Category: Scientific
Deducer – graphical data analysis interface for R
Deducer offers graphical data editing, transformations, statistical tests, regression models and interactive plots for R users.
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Polars – high-performance DataFrame query engine
Polars provides fast DataFrame analysis with lazy queries, expressive transformations, joins, streaming execution and data scanning.
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datatable – manipulate 2-dimensional tabular data structures
datatable is a Python package for manipulating 2-dimensional tabular data structures (aka data frames).
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Modin – parallel DataFrame processing with pandas compatibility
Modin speeds up pandas-style data analysis by distributing DataFrame operations across CPU cores using Ray, Dask or MPI execution engines.
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pandas – Python Data Analysis Library
pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools.
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NumPy – multidimensional array computing for Python
NumPy provides multidimensional arrays, broadcasting, linear algebra, random sampling and efficient numerical operations for data analysis.
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SciPy – Scientific Computing Tools for Python
SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering.
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Vaex – out-of-core DataFrame analysis for large datasets
Vaex explores large tabular datasets using lazy expressions, memory-mapped data access, aggregations and interactive visualisations.
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HoloViews – composable data visualisation library
HoloViews helps build interactive analytical visualisations with composable plot elements, data-aware dimensions and multiple backends.
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Dask – Advanced Parallelism for Analytics
Dask is a flexible parallel computing library for analytic computing. It takes a Python job and shares it across multiple systems.
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Optimus – profile, clean, process and perform machine learning
Optimus is the missing framework to profile, clean, process and do ML in a distributed fashion using Apache Spark (PySpark).
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yt – analyse and visualise volumetric scientific data
yt analyses volumetric simulation datasets with slices, projections, particle analysis, derived fields and scientific visualisation tools.
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AWS SDK for pandas – integrate pandas with AWS data services
AWS SDK for pandas connects pandas DataFrames to Amazon S3, Athena, Glue, Redshift and other AWS data processing and analytics services.
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R – environment for statistical computing and graphics
R is a programming language and environment for statistical computing, data analysis and graphics with a vast package ecosystem.
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MOA – framework for data stream mining
MOA is a data stream mining framework with online classification, clustering, concept drift detection and tools for evaluating algorithms.
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Orange – visual data mining and machine learning
Orange is a visual data mining application with data exploration, classification, clustering, model evaluation and extensible workflows.
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ELKI – data mining research framework
ELKI is a research-focused data mining toolkit offering clustering, outlier detection, spatial indexing and algorithm evaluation.
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DataMelt – scientific computation and visualisation
DataMelt is a scientific computation environment with interactive plotting, statistical analysis, fitting and mathematical scripting tools.
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Weka – machine learning and data mining workbench
Weka is a data mining workbench with classification, clustering, regression, preprocessing, experiments and extensible workflows.
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