Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
Repository Index
47,133 repositories indexed
217–232 of 232 · Most stars
Common Lisp CFFI wrapper around the DuckDB C API
Ordered-concurrently a library for concurrent processing with ordered output in Go. Process work concurrently and returns output in a channel in the order of input. It is useful in concurrently processing items in a queue, and get output in the order provided by the queue.
- concurrent
- golang
- golang-library
- data-science
eds-scikit is a Python library providing tools to process and analyse OMOP data
- data-science
- omop
- python
- clinical-data-warehouse
Personal website
- r
- tidymodels
- tidyverse
- quarto
Modern Pure Go implementation of the HDF5 file format
- go
- golang
- hdf5
- hdf5-format
Java Scientific Computing Library - Signal Processing, FFT, Filters, PSD, DCT, SciPy-like APIs for JVM & Android used in Machine Learning and Data Science.
- android
- java
- python
- scipy
GoStats is a go library for math statistics mostly used in ML domains, it covers most of the statistical measures functions.
- golang
- go
- machine-learning
- stats
R COBOL DI (Data Integration) Package : Import COBOL CopyBook data files directly into R as properly structured data frames.
- r
- data-science
- dataframe
- data-frames
Pure Go library for reading and writing MATLAB .mat files (v5-v7.3+). No CGo, no external dependencies. Full support for numeric types, complex numbers, and multi-dimensional arrays. Cross-platform (Windows/Linux/macOS). Part of SciGoLib ecosystem.
- cross-platform
- data-science
- go
- golang
A Python library built on pandas and geopandas for linearly referenced data management, engineering, and analysis using the DataFrame accessor pattern (.lr).
- asset-management
- data-science
- engineering
- geospatial
Data acquisition for Raspberry Pi and Micropython
Data Science Notebook for F# interactive
Python implementation of the goldeneye algorithm to investigate how classifiers utilise the structure of a dataset.
- data-science
- model-explanation
Estimating the number of clusters in a data set via the gap statistic. Implemented in H2O-3
- kmeans
- kmeans-clustering
- clustering
- gap-statistic
Implementation of Partitioning Around Medoids (PAM) in H2O-3
- clustering
- machine-learning
- h2o-3
- java