The fundamental package for scientific computing with Python.
- numpy
- python
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The Kubernetes Package Manager
Faker is a Python package that generates fake data for you.
Jupyter metapackage for installation and documentation
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
- weak-supervision
- data-cleaning
- data-quality
- noisy-labels
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
A curated list of awesome R packages, frameworks and software.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
- google-earth-engine
- gis
- remote-sensing
- image-processing
R's data.table package extends data.frame:
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
- ipyleaflet
- folium
- mapping
- python
A Laravel package to retrieve pageviews and other data from Google Analytics
Go package to make lightweight ASCII line graph ╭┈╯ in command line apps with no other dependencies.
- asciigraph
- graph
- plot
- chart
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
A well tested and comprehensive Golang statistics library package with no dependencies.
- statistics
- data
- stats
- machine-learning
An interactive graphing library for R
- r
- ggplot2
- javascript
- data-visualization
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
- pandas
- pandas-dataframe
- parallel-computing
- parallelization
Tools to make an R developer's life easier
- r
- package-creation
A general-purpose tool for dynamic report generation in R
- knitr
- r
- literate-programming
- sweave
Go Language Library for SVG generation
R Package for 2D and 3D mapping and data visualization
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
A Python package for manipulating 2-dimensional tabular data structures
- python
- data-analysis
- data-structure
- performance
An R package for causal inference in time series
Python library for interactive topic model visualization. Port of the R LDAvis package.