# control-theory/gonzo

Gonzo! The Go based TUI log analysis tool

Repository: https://github.com/control-theory/gonzo
Canonical: https://ross.abutalabs.com/products/gonzo
Homepage: https://www.controltheory.com/gonzo/
Language: Go
License: MIT
License Family: permissive
Topics: ai, golang, logs, ollama, openai, opentelemetry, otel, otlp, terminal, tui
Last push: 2026-07-15T13:47:48+00:00

## Health v2 (maintenance only)
Score: 79/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 92, release rhythm 93, longevity 27
- inputs: {"age_days": 380, "days_push": 49, "days_rel": 49, "gap_med": 8, "n_releases_24m": 16}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2755, forks 104 (observed 2026-08-28T04:07:18.154573+00:00)

## What it is
Gonzo is a Go-based terminal UI (TUI) for real-time log analysis, inspired by k9s. It visualizes log streams with charts, filtering, and AI-powered insights via Ollama or OpenAI, and ingests logs from sources like OpenTelemetry and various cloud platforms.

## Use cases
- analyze kubernetes or cloud logs in the terminal
- view real-time log streams with charts and severity heatmaps
- get AI-generated summaries of log errors
- ingest opentelemetry OTLP logs locally
- filter and search high-volume log streams
- monitor vercel, supabase, or cloudwatch logs from the CLI

## When to choose
- you want a k9s-style interactive TUI for live log analysis
- you need AI-assisted log insights without leaving the terminal
- you work with OpenTelemetry or multiple cloud log sources

## When to avoid
- you need long-term log storage or a persistent web dashboard
- you prefer GUI-based log management tools
- you need structured log alerting or retention policies

## Facets
- artifact type: cli-tool
- maturity: active
- function: logging, monitoring, analytics, terminal-ui, llm-inference
- domain: developer-tools, monitoring
- platform: cli, cross-platform, windows
- tags: tui, log-analysis, opentelemetry, otlp, ai-insights, k9s-inspired, real-time, command-line, macos, linux

## Member repositories
- control-theory/gonzo (main) score 79

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:18.154573+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T08:18:51.811373+00:00, confidence not recorded.
  - readme: https://github.com/control-theory/gonzo (fetched 2026-08-28T04:07:18.154573+00:00, sha 54fe2534bc30)
  - homepage: https://www.controltheory.com/gonzo/ (fetched 2026-08-29T09:56:45.282866+00:00, sha 0f75597a64e7)
- Data as of 2026-08-30T08:39:29.467469+00:00.
