dataframe-go
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dataframe-go | GoLearn | |
---|---|---|
3 | 3 | |
1,083 | 9,126 | |
0.0% | - | |
0.0 | 0.0 | |
almost 2 years ago | 2 months ago | |
Go | Go | |
GNU General Public License v3.0 or later | MIT License |
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dataframe-go
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packages similar to Pandas
Numpy functionality is largely covered by https://www.gonum.org/ but for pandas I'm not sure if there is an equivalent as widely accepted. However, you might try https://github.com/rocketlaunchr/dataframe-go which I have not tried but it looks like it covers some of what you're looking for
- Machine Learning
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Dynamic Structs
For guidance on how to use it: https://github.com/rocketlaunchr/dataframe-go/blob/master/exports/parquet.go
GoLearn
What are some alternatives?
Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
sklearn - bits of sklearn ported to Go #golang
goml - On-line Machine Learning in Go (and so much more)
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
randomforest - Random Forest implementation in golang
regommend - Recommendation engine for Go
qframe - Immutable data frame for Go
go-fann - Go bindings for FANN, library for artificial neural networks
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.