> ## Documentation Index
> Fetch the complete documentation index at: https://domoinc-openapi-sync-dataflows.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Magic ETL v2 Scripting Tile Environments

## Intro

The Python and R tiles have the **Domo 2.0** environment installed by default. This environment contains a selection of Python and R libraries. The list of libraries can be found in the Default environment page list section below.

## Default Supported Libraries in Magic ETL v2

### Python

* absl-py 1.0.0 - Abseil Python Common Libraries
* asn1crypto 1.5.1 - Fast ASN.1 parser and serializer with definitions for private keys, public keys, certificates, CRL, OCSP, CMS, PKCS#3, PKCS#7, PKCS#8, PKCS#12, PKCS#5, X.509 and TSP
* astor 0.8.1 - Read/rewrite/write Python ASTs
* blinker 1.4 - Fast, simple object-to-object and broadcast signaling
* certifi 2021.10.8 - Python package for providing Mozilla's CA Bundle.
* cookies 2.2.1 - Friendlier RFC 6265-compliant cookie parser/renderer
* cryptography 36.0.2 - cryptography is a package which provides cryptographic recipes and primitives to Python developers.
* decorator 5.1.1 - Better living through Python with decorators
* domomagic 0.3 - Python integration with Domo Magic ETL
* fuzzywuzzy 0.18.0 - Fuzzy string matching in python
* gast 0.4.0 - Python AST that abstracts the underlying Python version
* grpcio 1.42.0 - HTTP/2-based RPC framework
* h5py 3.6.0 - Read and write HDF5 files from Python
* idna 3.3 - Internationalized Domain Names in Applications (IDNA)
* joblib 1.1.0 - Lightweight pipelining: using Python functions as pipeline jobs.
* keras 2.7.0 - Artificial neural networks. Acts as an interface for the TensorFlow library.
* Markdown 3.3.6 - Python implementation of Markdown.
* nltk 3.6.7 - Natural Language Toolkit
* numpy 1.22.3 - NumPy: array processing for numbers, strings, records, and objects.
* pandas 1.4.1 - Powerful data structures for data analysis, time series,and statistics
* patsy 0.5.2 - A Python package for describing statistical models and for building design matrices.
* Pillow 9.0.1 - Python Imaging Library (Fork)
* protobuf 3.19.4 - Protocol Buffers
* python-dateutil 2.8.2 - Extensions to the standard Python datetime module
* python-Levenshtein 0.12.2 - Python extension for computing string edit distances and similarities.
* pytz 2022.1 - World timezone definitions, modern and historical
* requests 2.27.1 - HTTP for Humans
* scikit-learn 1.0.2 - A set of python modules for machine learning and data mining
* scipy 1.8.0 - SciPy: Scientific Library for Python
* scour 0.38.2 - Scour SVG Optimizer
* six 1.16.0 - Python 2 and 3 compatibility utilities
* sklearn-pandas 2.2.0 - Pandas integration with sklearn
* tensorboard 2.6.0 - TensorBoard lets you watch Tensors Flow
* tensorflow 2.7.0 - TensorFlow is an open source machine learning framework for everyone.
* termcolor 1.1.0 - ANSII Color formatting for output in terminal.
* torch 1.11.0 - Tensors and Dynamic neural networks in Python with strong GPU acceleration
* torchvision 0.12.0 - image and video datasets and models for torch deep learning
* twython 3.9.1 - Actively maintained, pure Python wrapper for the Twitter API. Supports both normal and streaming Twitter APIs
* urllib3 1.26.9 - HTTP library with thread-safe connection pooling, file post, and more.
* Werkzeug 2.0.3 - The comprehensive WSGI web application library.
* xgboost 1.5.1 - Scalable, distributed gradient-boosted decision tree (GBDT) machine learning library

### R

* abind 1.4-5 - Combine Multidimensional Arrays
* acepack 1.4.1 - ace() and avas() for selecting regression transformations
* AER 1.2-9 - Applied Econometrics with R
* arm 1.12\_2 - Data Analysis Using Regression and Multilevel/Hierarchical
* arules 1.7\_3 - Mining Association Rules and Frequent Itemsets
* assertthat 0.2.1 - Easy Pre and Post Assertions
* backports 1.4.1 - Reimplementations of Functions Introduced Since R-3.0.0
* base64enc 0.1-3 - Tools for base64 encoding
* base 4.1.2 - The R Base Package (Pre-loaded and attached package)
* Boruta 7.0.0 - An all relevant feature selection wrapper algorithm.
* BH 1.78.0-0 - Boost C++ Header Files
* bindrcpp 0.2.2 - An 'Rcpp' Interface to Active Bindings
* bindr 0.1.1 - Parametrized Active Bindings
* bit64 4.0.5 - A S3 Class for Vectors of 64bit Integers
* bit 4.0.4 - A Class for Vectors of 1-Bit Booleans
* bitops 1.0-7 - Bitwise Operations
* blob 1.2.2 - A Simple S3 Class for Representing Vectors of Binary Data
* boot 1.3-28 - Bootstrap Functions (Originally by Angelo Canty for S)
* brew 1.0-7 - Templating Framework for Report Generation
* broom 0.7.12 - Convert Statistical Analysis Objects into Tidy Tibbles
* car 3.0\_12 - Companion to Applied Regression
* caret 6.0-91 - Classification and Regression Training
* caTools 1.18.2 - Tools: moving window statistics, GIF, Base64, ROC AUC, etc.
* CerioliOutlierDetection 1.1.9 - Outlier Detection Using the Iterated RMCD Method of Cerioli
* checkmate 2.0.0 - Fast and Versatile Argument Checks
* chron 2.3-52 - Chronological Objects which can Handle Dates and Times
* class 7.3-20 - Functions for Classification
* cli 3.2.0 - Helpers for Developing Command Line Interfaces
* cluster 2.1.2 - Finding Groups in Data: Cluster Analysis Extended Rousseeuw et
* coda 0.19-4 - Output Analysis and Diagnostics for MCMC
* codetools 0.2-18 - Code Analysis Tools for R
* coin 1.4\_2 - Conditional Inference Procedures in a Permutation Test Framework
* colorspace 2.0\_3 - Color Space Manipulation
* commonmark 1.8.0 - High Performance CommonMark and Github Markdown Rendering in R
* corpcor 1.6.10 - Efficient Estimation of Covariance and (Partial) Correlation
* crayon 1.5.0 - Colored Terminal Output
* Cubist 0.4.0 - Rule- And Instance-Based Regression Modeling
* curl 4.3.2 - A Modern and Flexible Web Client for R
* CVST 0.2-3 - Fast Cross-Validation via Sequential Testing
* cvTools 0.3.2 - Cross-validation tools for regression models
* data.table 1.14.2 - Extension of `data.frame`
* DBI 1.1.2 - R Database Interface
* ddalpha 1.3.12 - Depth-Based Classification and Calculation of Data Depth
* DEoptimR 1.0-10 - Differential Evolution Optimization in Pure R
* DMwR 0.4.1 - Functions and data accompanying the book 'Data Mining with R, learning with case studies' by Luis Torgo, CRC Press 2010.
* desc 1.4.1 - Manipulate DESCRIPTION Files
* dichromat 2.0-0 - Color Schemes for Dichromats
* digest 0.6.29 - Create Compact Hash Digests of R Objects
* dimRed 0.2.5 - A Framework for Dimensionality Reduction
* diptest 0.76\_0 - Hartigan's Dip Test Statistic for Unimodality - Corrected
* domomagic 0.4 - R integration with Domo Magic ETL
* dplyr 1.0.8 - A Grammar of Data Manipulation
* DRR 0.0.4 - Dimensionality Reduction via Regression
* dummies 1.5.6 - Create dummy/indicator variables flexibly and efficiently
* e1071 1.7\_9 - Misc Functions of the Department of Statistics, Probability
* evaluate 0.15 - Parsing and Evaluation Tools that Provide More Details than the
* fansi 1.0.2 - ANSI Control Sequence Aware String Functions
* flexclust 1.4\_0 - Flexible Cluster Algorithms
* flexmix 2.3-17 - Flexible Mixture Modeling
* foreach 1.5.2 - Provides Foreach Looping Construct for R
* forecast 8.16 - Forecasting Functions for Time Series and Linear Models
* forcats 0.5.1 - Tools for working with categorical variables
* foreign 0.8-82 - Read Data Stored by 'Minitab', 'S', 'SAS', 'SPSS', 'Stata',
* Formula 1.2-4 - Extended Model Formulas
* fpc 2.2\_9 - Flexible Procedures for Clustering
* fracdiff 1.5\_1 - Fractionally differenced ARIMA aka ARFIMA(p,d,q) models
* gains 1.2 - Constructs gains tables and lift charts for prediction algorithms.
* gbm 2.1.8 - Generalized Boosted Regression Models
* gdata 2.18.0 - Various R Programming Tools for Data Manipulation
* GGally 2.1.2 - Extension to 'ggplot2'
* ggplot2 3.3.5 - Create Elegant Data Visualisations Using the Grammar of Graphics
* git2r 0.30.1 - Provides Access to Git Repositories
* glmnet 4.1\_2 - Lasso and Elastic-Net Regularized Generalized Linear Models
* glue 1.6.2 - Interpreted String Literals
* Gmedian 1.2.6 - Geometric Median, k-Median Clustering and Robust Median PCA
* gower 1.0.0 - Gower's Distance
* gridExtra 2.3 - Miscellaneous Functions for Grid Graphics
* gtable 0.3.0 - Arrange 'Grobs' in Tables
* gtools 3.9.2 - Various R Programming Tools
* highr 0.9 - Syntax Highlighting for R Source Code
* Hmisc 4.6\_0 - Harrell Miscellaneous
* hms 1.1.1 - Pretty Time of Day
* htmlTable 2.4.0 - Advanced Tables for Markdown/HTML
* htmltools 0.5.2 - Tools for HTML
* htmlwidgets 1.5.4 - HTML Widgets for R
* httr 1.4.2 - Tools for Working with URLs and HTTP
* hunspell 3.0.1 - High-Performance Stemmer, Tokenizer, and Spell Checker
* ipred 0.9-12 - Improved Predictors
* ISOcodes 2022.01.10 - Selected ISO Codes
* iterators 1.0.14 - Provides Iterator Construct for R
* janeaustenr 0.1.5 - Jane Austen's Complete Novels
* janitor 2.1.0 - Simple functions for examining and cleaning dirty data.
* jsonlite 1.8.0 - A Robust, High Performance JSON Parser and Generator for R
* kernlab 0.9-29 - Kernel-Based Machine Learning Lab
* KernSmooth 2.23-20 - Functions for Kernel Smoothing Supporting Wand & Jones (1995)
* KMsurv 0.1-5 - Data sets from Klein and Moeschberger (1997), Survival Analysis
* knitr 1.37 - A General-Purpose Package for Dynamic Report Generation in R
* labeling 0.4.2 - Axis Labeling
* laeken 0.5.2 - Estimation of indicators on social exclusion and poverty
* lattice 0.20-42 - Trellis Graphics for R
* latticeExtra 0.6-29 - Extra Graphical Utilities Based on Lattice
* lava 1.6.10 - Latent Variable Models
* lazyeval 0.2.2 - Lazy (Non-Standard) Evaluation
* leaps 3.1 - regression subset selection
* littler 0.3.15 - R at the Command-Line via 'r'
* lme4 1.1-28 - Linear Mixed-Effects Models using 'Eigen' and S4
* lmtest 0.9-40 - Testing Linear Regression Models
* lubridate 1.8.0 - Make Dealing with Dates a Little Easier
* magrittr 2.0.2 - A Forward-Pipe Operator for R
* maptools 1.1\_3 - Tools for Handling Spatial Objects
* markdown 1.1 - 'Markdown' Rendering for R
* MASS 7.3-55 - Support Functions and Datasets for Venables and Ripley's MASS
* matrixcalc 1.0-5 - Collection of functions for matrix calculations
* Matrix 1.4\_0 - Sparse and Dense Matrix Classes and Methods
* MatrixModels 0.5\_0 - Modelling with Sparse And Dense Matrices
* maxLik 1.5\_2 - Maximum Likelihood Estimation and Related Tools
* mclust 5.4.9 - Gaussian Mixture Modelling for Model-Based Clustering,
* mcmc 0.9-7 - Markov Chain Monte Carlo
* MCMCpack 1.6\_1 - Markov Chain Monte Carlo (MCMC) Package
* memoise 2.0.1 - Memoisation of Functions
* mice 3.14.0 - Multivariate Imputation by Chained Equations
* mi 1.0 - Missing Data Imputation and Model Checking
* mime 0.12 - Map Filenames to MIME Types
* minqa 1.2.4 - Derivative-free optimization algorithms by quadratic
* miscTools 0.6-26 - Miscellaneous Tools and Utilities
* mitools 2.4 - Tools for multiple imputation of missing data
* mlbench 2.1-3 - A collection of artificial and real-world machine learning benchmark problems.
* mlogit 1.1\_1 - Multinomial Logit Models
* mnormt 2.0.2 - The Multivariate Normal and t Distributions
* ModelMetrics 1.2.2.2 - Rapid Calculation of Model Metrics
* modeltools 0.2-23 - Tools and Classes for Statistical Models
* moments 0.14 - Moments, cumulants, skewness, kurtosis and related tests
* multcomp 1.4-18 - Simultaneous Inference in General Parametric Models
* munsell 0.5.0 - Utilities for Using Munsell Colours
* mvoutlier 2.1.1 - Multivariate Outlier Detection Based on Robust Methods
* mvtnorm 1.1\_3 - Multivariate Normal and t Distributions
* NADA 1.6-1.1 - Nondetects and Data Analysis for Environmental Data
* naivebayes 0.9.7 - High Performance Implementation of the Naive Bayes Algorithm
* neuralnet 1.44.2 - Training of Neural Networks
* nlme 3.1-155 - Linear and Nonlinear Mixed Effects Models
* nloptr 1.2.2.3 - R Interface to NLopt
* NLP 0.2\_1 - Natural Language Processing Infrastructure
* nnet 7.3-17 - Feed-Forward Neural Networks and Multinomial Log-Linear Models
* numDeriv 2016.8-1.1 - Accurate Numerical Derivatives
* openssl 2.0.0 - Toolkit for Encryption, Signatures and Certificates Based on
* outliers 0.14 - Tests for outliers
* party 1.3-9 - A Laboratory for Recursive Partytioning
* pbkrtest 0.5.1 - Parametric Bootstrap and Kenward Roger Based Methods for Mixed
* pcaPP 1.9-74 - Robust PCA by Projection Pursuit
* penalized 0.9-51 - L1 (Lasso and Fused Lasso) and L2 (Ridge) Penalized Estimation
* pillar 1.7.0 - Coloured Formatting for Columns
* pkgconfig 2.0.3 - Private Configuration for 'R' Packages
* pkgKitten 0.2.2 - Create Simple Packages Which Do not Upset R Package Checks
* plogr 0.2.0 - The 'plog' C++ Logging Library
* pls 2.8-0 - Partial Least Squares and Principal Component Regression
* plyr 1.8.6 - Tools for Splitting, Applying and Combining Data
* pmml 2.5.2 - Predictive Model Markup Language support.
* polspline 1.1.19 - Polynomial Spline Routines
* prabclus 2.3\_2 - Functions for Clustering of Presence-Absence, Abundance and
* praise 1.0.0 - Praise Users
* prettyunits 1.1.1 - Pretty, Human Readable Formatting of Quantities
* prodlim 2019.11.13 - Product-Limit Estimation for Censored Event History Analysis
* progress 1.2.2 - Terminal Progress Bars
* pryr 0.1.5 - Tools for Computing on the Language
* psych 2.2.3 - Procedures for Psychological, Psychometric, and Personality
* purrr 0.3.4 - Functional Programming Tools
* quadprog 1.5-8 - Functions to solve Quadratic Programming Problems.
* quantmod 0.4.18 - Quantitative Financial Modelling Framework
* quantreg 5.88 - Quantile Regression
* R6 2.5.1 - Classes with Reference Semantics
* randomForest 4.6-14 - Breiman and Cutler's Random Forests for Classification and
* randomForestSRC 3.0.2 - Random Forests for Survival, Regression, and Classification
* RColorBrewer 1.1-2 - ColorBrewer Palettes
* RcppArmadillo 0.10.8.1.0 - 'Rcpp' Integration for the 'Armadillo' Templated Linear Algebra
* Rcpp 1.0.8.3 - Seamless R and C++ Integration
* RcppEigen 0.3.3.9.1 - 'Rcpp' Integration for the 'Eigen' Templated Linear Algebra
* RcppRoll 0.3.0 - Efficient Rolling / Windowed Operations
* rcurl 1.98\_1.6 - RCurl
* recipes 0.2.0 - Preprocessing Tools to Create Design Matrices
* rebus 0.1\_3 - Regular Expression Builder
* REEMtree 0.90.4 - Regression Trees with Random Effects for Longitudinal (Panel)
* ROCR 1.0-11 - Tool for creating cutoff-parameterized 2D performance curves.
* ROSE 0.0-4 - Functions to deal with binary classification problems in the presence of imbalanced classes.
* relaimpo 2.2-6 - Relative Importance of Regressors in Linear Models
* reshape2 1.4.4 - Flexibly Reshape Data: A Reboot of the Reshape Package
* reshape 0.8.8 - Flexibly Reshape Data
* rgeos 0.5\_9 - Interface to Geometry Engine - Open Source ('GEOS')
* rjson 0.2.21 - JSON for R
* rlang 1.0.2 - Functions for Base Types and Core R and 'Tidyverse' Features
* rms 6.2-0 - Regression Modeling Strategies
* robCompositions 2.3.1 - Robust Estimation for Compositional Data
* robustbase 0.93-9 - Basic Robust Statistics
* roxygen2 7.1.2 - In-Line Documentation for R
* rpart 4.1.16 - Recursive Partitioning and Regression Trees
* RPMM 1.25 - Recursively Partitioned Mixture Model
* rprojroot 2.0.2 - Finding Files in Project Subdirectories
* rrcov 1.6\_2 - Scalable Robust Estimators with High Breakdown Point
* RSNNS 0.4-14 - Neural Networks using the Stuttgart Neural Network Simulator
* RSpectra 0.16\_0 - Solvers for Large-Scale Eigenvalue and SVD Problems
* RSQLite 2.2.8 - 'SQLite' Interface for R
* rstudioapi 0.13 - Safely Access the RStudio API
* sandwich 3.0\_1 - Robust Covariance Matrix Estimators
* scales 1.1.1 - Scale Functions for Visualization
* sem 3.1-14 - Structural Equation Models
* sfsmisc 1.1-12 - Utilities from 'Seminar fuer Statistik' ETH Zurich
* sgeostat 1.0-27 - An Object-Oriented Framework for Geostatistical Modeling in S+
* slam 0.1-50 - Sparse Lightweight Arrays and Matrices
* SnowballC 0.7.0 - Snowball stemmers based on the C libstemmer UTF-8 library
* SparseM 1.81 - Sparse Linear Algebra
* spatial 7.3-15 - Functions for Kriging and Point Pattern Analysis
* sp 1.4\_6 - Classes and Methods for Spatial Data
* splines2 0.4.5 - Regression Spline Functions and Classes
* sROC 0.1-2 - Nonparametric Smooth ROC Curves for Continuous Data
* statmod 1.4.36 - Statistical Modeling
* sticky 0.5.6.1 - Persist Attributes Across Data Operations
* stopwords 2.3 - Multilingual Stopword Lists
* stringdist 0.9.8 - Approximate String Matching and String Distance Functions
* stringi 1.7.6 - Character String Processing Facilities
* stringr 1.4.0 - Simple, Consistent Wrappers for Common String Operations
* strucchange 1.5-2 - Testing, Monitoring, and Dating Structural Changes
* survey 4.1\_1 - Analysis of Complex Survey Samples
* survival 3.3\_1 - Survival Analysis
* tcltk2 1.2\_11 - Tcl/Tk Interface
* TH.data 1.1\_0 - TH's Data Archive
* tibble 3.1.6 - Simple Data Frames
* tidymodels 0.2.0 - A collection of packages for modeling and machine learning using tidyverse principles.
* tidyr 1.2.0 - Easily Tidy Data with 'spread()' and 'gather()' Functions
* tidyselect 1.1.2 - Select from a Set of Strings
* tidytext 0.3.2 - Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools
* tidyverse 1.3.1 - An opinionated collection of R packages designed for data science
* timeDate 3043.102 - Rmetrics - Chronological and Calendar Objects
* timeSeries 3062.100 - Rmetrics - Financial Time Series Objects
* tm 0.7-8 - Text Mining Package
* tokenizers 0.2.1 - Fast, Consistent Tokenization of Natural Language Text
* tree 1.0-41 - Classification and Regression Trees
* trimcluster 0.1-5 - Cluster analysis with trimming
* truncnorm 1.0-8 - Truncated Normal Distribution
* truncreg 0.2-5 - Truncated Gaussian Regression Models
* tseries 0.10-49 - Time Series Analysis and Computational Finance
* tsoutliers 0.6-8 - Detection of Outliers in Time Series
* TTR 0.24\_3 - Technical Trading Rules
* utf8 1.2.2 - Unicode Text Processing
* vcd 1.4-9 - Visualizing Categorical Data
* VIM 6.1.1 - Visualization and Imputation of Missing Values
* VSURF 1.1.0 - Three steps variable selection procedure based on random forests.
* viridis 0.6.2 - Default Color Maps from 'matplotlib'
* viridisLite 0.4.0 - Default Color Maps from 'matplotlib' (Lite Version)
* whisker 0.4 - \{{mustache}} for R, logicless templating
* withr 2.5.0 - Run Code 'With' Temporarily Modified Global State
* xgboost 1.5.1 - Extreme Gradient Boosting
* xml2 1.3.3 - Parse XML
* xts 0.12.1 - eXtensible Time Series
* yaml 2.3.5 - Methods to Convert R Data to YAML and Back
* zCompositions 1.4.0 - Treatment of Zeros and Nondetects in Compositional Data Sets
* zoo 1.8-9 - S3 Infrastructure for Regular and Irregular Time Series (Z's