11 best Go Data Labelling libraries in 2025

Go is a general purpose language developed by google. Go can be used to build server side applications, APIs and web services. Go is also used in machine learning and data science projects. In this article, I will list few of the best Golang data labelling libraries. Go vector space models package is built on top of gonum. This kit provides an implementation of some of the commonly used algorithms in natural language processing (NLP) like word2vec, doc2vec etc. With these libraries, you can convert your texts into vectors which can then be used as features in classification and regression models to solve text classification problems. A few of the most popular open source libraries for developers are: Parca - Continuous profiling for analysis of CPU, memory usage over time, and down to the line number. Saving infrastructure cost, improving performance, and increasing reliability; Etable - provides a DataTable / DataFrame structure in Go (golang), similar to pandas and xarray in Python, and Apache Arrow Table, using etensor n-dimensional columns aligned by common outermost row dimension. The following is a comprehensive list of the best open source libraries for Go data labelling: