# charles-001/dolphie

Your single pane of glass for real-time analytics into MySQL/MariaDB & ProxySQL

Repository: https://github.com/charles-001/dolphie
Canonical: https://ross.abutalabs.com/products/dolphie
Homepage: https://pypi.org/project/dolphie/
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: monitoring, mysql, python
Last push: 2026-08-24T15:10:28+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 99, release rhythm 87, longevity 100
- inputs: {"age_days": 1459, "days_push": 9, "days_rel": 90, "gap_med": 7, "n_releases_24m": 34}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1194, forks 80 (observed 2026-08-28T04:03:56.677770+00:00)

## What it is
Dolphie is a terminal-based TUI tool providing real-time analytics and monitoring for MySQL, MariaDB, and ProxySQL. It offers a single pane of glass view of database performance metrics, processes, and health.

## Use cases
- monitor mysql performance in real time from the terminal
- watch active queries and processes on mariadb
- troubleshoot slow queries on a mysql server
- monitor proxysql stats
- dashboard for database health in the terminal
- inspect innodb status and replication lag

## When to choose
- you need a lightweight terminal dashboard for MySQL/MariaDB/ProxySQL
- you want real-time insight without deploying a full monitoring stack
- you're a DBA doing interactive troubleshooting on a live server

## When to avoid
- you need long-term metric storage and alerting (use Prometheus/Grafana)
- you need monitoring for databases other than MySQL/MariaDB/ProxySQL
- you need a web-based dashboard for teams

## Facets
- artifact type: cli-tool
- maturity: active
- function: monitoring, database, terminal-ui, developer-tools
- domain: databases, monitoring, developer-tools
- platform: windows, python, cli
- tags: mysql, mariadb, proxysql, real-time-analytics, tui, database-administration, command-line, linux, macos, docker

## Member repositories
- charles-001/dolphie (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:56.677770+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 2026-08-30T06:22:09.506163+00:00, confidence not recorded.
  - readme: https://github.com/charles-001/dolphie (fetched 2026-08-28T04:03:56.677770+00:00, sha c1d9cda001e7)
  - homepage: https://pypi.org/project/dolphie/ (fetched 2026-08-29T12:29:47.456071+00:00, sha 4b4e8fead74a)
- Data as of 2026-08-30T08:39:29.467469+00:00.
