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AI Roundtable Open Poll · 4 models

Which are recommended go libraries for creating custom text plots?

Answer: Use asciigraph for simple ASCII charts and termdash or termui for complex terminal dashboards. (All 4 models agreed)

Model Responses

Gemini 3.1 Pro

Answer: The most recommended Go libraries for creating custom text plots are `guptarohit/asciigraph` for lightweight inline graphs, and `gizak/termui` or `mum4k/termdash` for full-featured terminal dashboards.

When building custom text plots in Go, the best library depends heavily on whether you need a simple inline graph or a highly interactive terminal user interface (TUI). For lightweight, zero-dependency plotting, `guptarohit/asciigraph` is the standout choice. It allows you to generate simple ASCII line graphs that can be printed directly to standard output or embedded into text files and logs. Its simplicity makes it ideal for quick data visualization without taking over the entire terminal screen. If your goal is to build a rich CLI dashboard with multiple visual elements, `gizak/termui` and `mum4k/termdash` are the industry standards. `termui` provides excellent out-of-the-box widgets, including bar charts, line charts, and scatter plots, all rendered using standard terminal characters. `termdash`, heavily inspired by termui, offers an even more robust grid system and highly customizable plotting widgets. Ultimately, if you just want to quickly visualize a slice of `float64` data in the console, use `asciigraph`. If you are building a monitoring tool or a comprehensive CLI application that requires dynamic, updating text plots, opt for `termui` or `termdash`.

Claude Opus 4.7

Answer: For custom text-based (ASCII/terminal) plots in Go, the most recommended libraries are guptarohit/asciigraph, gizak/termui, mum4k/termdash, and VladimirMarkelov/clui, with go-echarts or gonum/plot if you need richer (non-text) output.

If by 'text plots' you mean ASCII/Unicode charts rendered in a terminal or embedded in logs, the Go ecosystem has several well-maintained options: 1. github.com/guptarohit/asciigraph — The simplest and most popular choice for lightweight line charts rendered as ASCII. It's dependency-free, easy to embed in CLI tools, and supports captions, colors, and configurable dimensions. Ideal for quick sparkline-style plots in logs or terminals. 2. github.com/gizak/termui — A full-featured terminal dashboard library inspired by blessed-contrib. It supports bar charts, line charts, gauges, sparklines, tables, and more, with a widget-based layout system. Best when you need an interactive TUI. 3. github.com/mum4k/termdash — A more modern alternative to termui, built on top of tcell. It offers richer widgets (line chart, bar chart, heatmap, donut, gauge, sparkline) and better layout management. Recommended for building dashboards. 4. github.com/VladimirMarkelov/clui — A console UI library with charting widgets; useful if you also need form-style controls alongside plots. 5. github.com/MaxHalford/halfgone or github.com/wcharczuk/go-chart — If you can tolerate image output instead of pure text, go-chart produces PNG/SVG charts and is highly customizable. 6. github.com/go-echarts/go-echarts and gonum.org/v1/plot — For HTML/SVG/PNG plots rather than terminal text, but worth mentioning if 'text' meant 'programmatically generated' rather than ASCII. For most 'custom text plot' needs, I'd start with asciigraph for simple cases and termdash when you need a flexible, composable terminal plotting layer.

GPT-5.5

Answer: For custom text plots in Go, start with "github.com/guptarohit/asciigraph" for simple ASCII plots, use "github.com/NimbleMarkets/ntcharts" or "github.com/gizak/termui/v3" for richer terminal charts, and build custom rendering with "github.com/charmbracelet/lipgloss" when you need full control.

"github.com/guptarohit/asciigraph" is the best first choice if you want lightweight ASCII line charts. It is simple, has a small API, and is well suited for logs, CLIs, benchmarks, and quick numeric visualizations printed directly to stdout. If you need interactive or more polished terminal plots, "github.com/NimbleMarkets/ntcharts" is a strong option. It is designed for terminal-native charts and works well with the Charm ecosystem, especially Bubble Tea-style terminal applications. "github.com/gizak/termui/v3" is useful when the plot is part of a broader terminal dashboard. It provides widgets such as sparklines, bar charts, line charts, gauges, and grids, making it better for TUI monitoring tools than for one-off textual graph output. For highly custom text plotting, "github.com/charmbracelet/lipgloss" is not a plotting library by itself, but it is excellent for styling, layout, colors, borders, and composing terminal output. Pairing it with your own scaling/rendering logic, or with Bubble Tea, gives the most control over the final look. I would avoid heavier image-oriented libraries such as "gonum.org/v1/plot" unless you want PNG, SVG, or PDF plots rather than text/terminal plots.

Grok 4.20

Answer: The top recommended Go library for custom text plots is github.com/guptarohit/asciigraph, with github.com/mattn/go-isatty as a useful companion for terminal detection.

asciigraph is lightweight, dependency-free, and specifically designed to render simple line graphs using ASCII characters directly in terminals or logs, making it ideal for CLI tools where graphical libraries would be overkill. It supports customization of height, width, and captions while requiring minimal code, which aligns well with the need for 'custom' text-based visualizations without pulling in heavy plotting frameworks like gonum/plot. For more complex scenarios, pairing it with terminal libraries such as tcell or tview can extend functionality to interactive plots, but asciigraph remains the most straightforward starting point based on community usage and simplicity.

Final Summary

The AI Roundtable unanimously recommends `asciigraph` as the gold standard for lightweight, zero-dependency ASCII line plots. For robust terminal dashboards, Gemini 3.1 Pro and Claude Opus 4.7 point to `termdash` and `termui`, while GPT-5.5 highlights `ntcharts` for those integrated into the Charm ecosystem. Grok 4.20 reinforces that `asciigraph` is the most straightforward starting point for any developer needing quick terminal visualizations.

All 4 models agreed