R Python Packages

pyspark

Apache Spark - A unified analytics engine for large-scale data processing

jupyter-lsp

Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol

lightgbm

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

papermill

📚 Parameterize, execute, and analyze notebooks

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

pyspark-client

Apache Spark - A unified analytics engine for large-scale data processing

simpleitk

SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.

moocore

Core Mathematical Functions for Multi-Objective Optimization

rpy2

Interface to use R from Python

pyreadr

Python package to read and write R RData and Rds files into/from pandas and polars dataframes. No R or other external dependencies required.

h2o-wave

Realtime Web Apps and Dashboards for Python and R

jupyterlab-code-formatter

A JupyterLab plugin to facilitate invocation of code formatters.

h2o

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

rdata

A Python library for R datasets.

rpy2-robjects

Interface to use R from Python

rpy2-rinterface

Interface to use R from Python

jupyterlab-lsp

Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol

rchitect

Interoperate R with Python

catboost-dev

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

finmind

Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/

amr

Functions to simplify and standardise antimicrobial resistance (AMR) data analysis and to work with microbial and antimicrobial properties by using evidence-based methods, as described in https://doi.org/10.18637/jss.v104.i03.

ee-extra

A ninja python package that unifies the Google Earth Engine ecosystem.

gpboost

Tree-Boosting, Gaussian Processes, and Mixed-Effects Models