As of 2025, the picture isn’t much improved, with most of the high-level libraries for AI/ML in Go currently languishing. Golearn, one of the more widely used deep-learning libraries for Go, has not been updated in three years. Likewise, Gorgonia, which aims for the same spaces as Theano and TensorFlow, hasn’t been updated in about the same time frame. SpaGO, an NLP library, was deprecated by its author in favor of Rust’s Candle project.
This state of affairs reflects Go’s overall consolidation around network services, infrastructure, and command-line utilities, rather than tasks like machine learning. Currently, Go appears to be most useful for tasks like serving predictions on existing models, or working with third-party AI APIs, rather than building AI/ML solutions as such.
C# and .NET
Over the years, Microsoft’s C# language and its underlying .NET runtime have been consistently updated to reflect the changing needs of its enterprise audience. Machine learning and generative AI are among the latest use cases to join that list. Released in 2024, .NET 9 promised expanded .NET libraries and tooling for AI/ML. A key feature there, Microsoft’s Semantic Kernel SDK, is a C# tool for working with Microsoft’s Azure OpenAI services, using natural language inputs and outputs.
