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Go is a compiled language, but with very fast compilation, that allows one to use it in a REPL (Read-Eval-Print-Loop) fashion, by inserting a "Compile" step in the middle of the loop -- so it's a Read-Compile-Run-Print-Loop — while still feeling very interactive. GoNB leverages that compilation speed to implement a full-featured (at least it's getting there) Jupyter notebook kernel. As a side benefit it works with packages that use CGO — although it won't parse C code in the cells, so it can't be used as a C kernel. It already includes many goodies: cache between cell of results, contextual help and auto-complete (with gopls), compilation error context (by mousing over), bash command execution, images, html, etc. See the tutorial. It's been heavily used by the author (in developing GoMLX, a machine learning framework for Go), but should still be seen as experimental — if we hear success stories from others, we can change this.
Features
- Auto-complete and contextual help while coding
- Rich content display: HTML, markdown (with latex), images, javascript, svg, videos, etc.
- (NEW) Widgets (sliders, buttons) support: interact using HTML elements. Create your own widgets
- Uses standard Go compiler: 100% compatibility with projects, even those using CGO. It also supports arbitrary Go compilation flags to be used when executing the cells
- Faster execution than interpreted Go, used in other similar kernels -- at the cost of imperceptible increased start up, since each cell is compiled
- Run cell's Test* and Benchmark* functions with go test, simply adding %test to cell
- Support for go.mod and go.work, to allow local development. Including importing specific versions of libraries
Project Samples
