rimor

Latin: I probe, I search thoroughly.

A terminal workbench for PostgreSQL, SQL Server and SQLite. Browse the catalog, write SQL in tabs and scroll through millions of rows without leaving the keyboard.

go install rimor.dev/cmd/rimor@latest

╭─ 1  Explorer ────────────╮╭─ 2  ● orders.sql ─ ● best-customers.sql ─────────────────────────────────────────╮
│   + New connection       ││  1  -- Best customers this month                                                 │
│                          ││  2  SELECT c.name, c.city,                                                       │
│ ▾ ◈ shop  sqlite         ││  3         count(o.id)  AS orders,                                               │
│   ▾ ▫ Tables  2          ││  4         sum(o.total) AS spent                                                 │
│     ▾ ◫ customers        ││  5  FROM customers c                                                             │
│       ▾ ▫ Columns  4     ││  6  LEFT JOIN orders o ON o.customer_id = c.id                                   │
│           ◆ id  rowid    ││  7  GROUP BY c.id                                                                │
│           · name  TEXT   ││  8  ORDER BY spent DESC NULLS LAST                                               │
│           · city  TEXT   ││                                                                                  │
│           · since  DATE  ││                                                                                  │
│       ▸ ▪ Indexes        ││                                                                                  │
│     ▸ ◫ orders           │╰─ ◈ shop ─────────────────────────────────────────────────────────────────────────╯
│   ▸ ▪ Views              │╭─ 3  Results ─────────────────────────────────────────────────────────────────────╮
│   ▸ ▪ Indexes            ││   name             city       orders  spent                                      │
│   ▸ ▪ Triggers           ││──────────────────────────────────────────────────────────────────────────────────│
│                          ││ 1 Grace Hopper     Arlington       2    995                                      │
│                          ││ 2 Alan Turing      Wilmslow        1    310                                      │
│                          ││ 3 Ada Lovelace     London          2  155.5                                      │
│                          ││ 4 Frances Allen    Peru            1   77.7                                      │
│                          ││ 5 Barbara Liskov   Boston          1  42.25                                      │
│                          ││ 6 Edsger Dijkstra  NULL            0   NULL                                      │
│                          ││                                                                                  │
│                          ││                                                                                  │
│                          ││                                                                                  │
│                          ││                                                                                  │
│                          ││                                                                                  │
╰──────────────────────────╯╰─ ✓ 6 rows · <1 ms ──────────────────────────── 2/6 · city text  ⏎ open · y copy ─╯

╭─ 1  Explorer ────────────╮╭─ 2  ● orders.sql ─ ● best-customers.sql ─────────────────────────────────────────╮
│   + New connection       ││  1  -- Best customers this month                                                 │
│                          ││  2  SELECT c.name, c.city,                                                       │
│ ▾ ◈ shop  sqlite         ││  3         count(o.id)  AS orders,                                               │
│   ▾ ▫ Tables  2          ││  4         sum(o.total) AS spent                                                 │
│     ▾ ◫ customers        ││  5  FROM customers c                                                             │
│       ▾ ▫ Columns  4     ││  6  LEFT JOIN orders o ON o.customer_id = c.id                                   │
│           ◆ id  rowid    ││  7  GROUP BY c.id                                                                │
│           · name  TEXT   ││  8  ORDER BY spent DESC NULLS LAST                                               │
│           · city  TEXT   ││                                                                                  │
│           · since  DATE  ││                                                                                  │
│       ▸ ▪ Indexes        ││                                                                                  │
│     ▸ ◫ orders           │╰─ ◈ shop ─────────────────────────────────────────────────────────────────────────╯
│   ▸ ▪ Views              │╭─ 3  Results ─────────────────────────────────────────────────────────────────────╮
│   ▸ ▪ Indexes            ││   name             city       orders  spent                                      │
│   ▸ ▪ Triggers           ││──────────────────────────────────────────────────────────────────────────────────│
│                          ││ 1 Grace Hopper     Arlington       2    995                                      │
│                          ││ 2 Alan Turing      Wilmslow        1    310                                      │
│                          ││ 3 Ada Lovelace     London          2  155.5                                      │
│                          ││ 4 Frances Allen    Peru            1   77.7                                      │
│                          ││ 5 Barbara Liskov   Boston          1  42.25                                      │
│                          ││ 6 Edsger Dijkstra  NULL            0   NULL                                      │
│                          ││                                                                                  │
│                          ││                                                                                  │
│                          ││                                                                                  │
│                          ││                                                                                  │
│                          ││                                                                                  │
╰──────────────────────────╯╰─ ✓ 6 rows · <1 ms ──────────────────────────── 2/6 · city text  ⏎ open · y copy ─╯

╭─ 1  Explorer ────────────╮╭─ 2  ● orders.sql ─ ● best-customers.sql ─────────────────────────────────────────╮
│   + New connection       ││  1  -- Best customers this month                                                 │
│                          ││  2  SELECT c.name, c.city,                                                       │
│ ▾ ◈ shop  sqlite         ││  3         count(o.id)  AS orders,                                               │
│   ▾ ▫ Tables  2          ││  4         sum(o.total) AS spent                                                 │
│     ▾ ◫ customers        ││  5  FROM customers c                                                             │
│       ▾ ▫ Columns  4     ││  6  LEFT JOIN orders o ON o.customer_id = c.id                                   │
│           ◆ id  rowid    ││  7  GROUP BY c.id                                                                │
│           · name  TEXT   ││  8  ORDER BY spent DESC NULLS LAST                                               │
│           · city  TEXT   ││                                                                                  │
│           · since  DATE  ││                                                                                  │
│       ▸ ▪ Indexes        ││                                                                                  │
│     ▸ ◫ orders           │╰─ ◈ shop ─────────────────────────────────────────────────────────────────────────╯
│   ▸ ▪ Views              │╭─ 3  Results ─────────────────────────────────────────────────────────────────────╮
│   ▸ ▪ Indexes            ││   name             city       orders  spent                                      │
│   ▸ ▪ Triggers           ││──────────────────────────────────────────────────────────────────────────────────│
│                          ││ 1 Grace Hopper     Arlington       2    995                                      │
│                          ││ 2 Alan Turing      Wilmslow        1    310                                      │
│                          ││ 3 Ada Lovelace     London          2  155.5                                      │
│                          ││ 4 Frances Allen    Peru            1   77.7                                      │
│                          ││ 5 Barbara Liskov   Boston          1  42.25                                      │
│                          ││ 6 Edsger Dijkstra  NULL            0   NULL                                      │
│                          ││                                                                                  │
│                          ││                                                                                  │
│                          ││                                                                                  │
│                          ││                                                                                  │
│                          ││                                                                                  │
╰──────────────────────────╯╰─ ✓ 6 rows · <1 ms ──────────────────────────── 2/6 · city text  ⏎ open · y copy ─╯

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This is the real interface, drawn by rimor itself.

What it does

Explorer: Your connections and their catalog as a tree: databases, schemas, tables, views, functions, indexes and columns with their types. Each level loads when you open it, and empty schemas stay out of the way. SQLite tables show their rowid.
Query tabs: Each tab knows where it runs, a connection and a database, and shows it at the bottom. Open a tab from anything in the tree and it starts there. Tabs save to .sql files, and unsaved work is still there the next time you start.
Results: Rows appear within milliseconds and keep streaming in the background, stored compactly enough for millions of them. Scroll by row and by column; esc stops fetching and keeps what arrived.
Editing: Open a cell to see its whole value, copy it, or change it. rimor shows the UPDATE it will run, touches only that row, and refuses if someone changed it since you loaded it. JSON gets its own editor, and invalid JSON is never sent.
Read-only connections: Mark a connection read-only and writes are refused: by the server on PostgreSQL, by the engine on SQLite, by rimor on SQL Server.
Errors: The database's own message and code, with the failing line of your SQL and a caret where the database points.
Editor: Syntax highlighting in each database's own dialect, selection, undo, clipboard and indentation that follows the line above.
Sessions: Every tab runs on its own connection, so USE, temp tables and open transactions carry over from one run to the next.
Themes: Dark, light, or your terminal's own colours. On Omarchy rimor follows the system theme; elsewhere it matches your terminal's background.
Layout and keys: Drag the borders between panes, or resize from the keyboard; any pane goes full screen with alt+f. F1 shows the keys that apply where you are, and every shortcut can be remapped.

Install

With Go

A single binary with no other dependencies, for Linux, macOS and Windows. Needs Go 1.27 or newer.

$ go install rimor.dev/cmd/rimor@latest
$ rimor

From source

Clone the repository and build the command; the binary lands in the current folder.

$ git clone https://github.com/alchemy/rimor
$ cd rimor && go build ./cmd/rimor

Press a in the explorer to add a connection. Settings live in ~/.config/rimor/config.toml, written with every default on first run.