---
id: qtconsole
version: "5.7.2"
license: BSD
license_treatment: permissive
maintenance: active
---

# qtconsole — Jupyter Qt console

License: permissive · Maintenance: active · Downloads: 3.4M/mo

## What it is and what it does

QtConsole is a graphical frontend for Jupyter kernels maintained by the Spyder development team. It runs as a lightweight desktop application that feels like a terminal but adds GUI-only enhancements: inline figures, multiline editing with syntax highlighting, graphical calltips, and session export. It connects to any Jupyter kernel and displays rich media output natively.

The package depends on Jupyter infrastructure (jupyter_core, jupyter_client, ipykernel), syntax highlighting (pygments, ipython_pygments_lexers), and a Qt binding abstraction layer (qtpy). It requires Python 3.9 or later and is actively maintained. Installation via conda is simpler because conda automatically pulls in a Qt binding; pip users must install a Qt binding as a separate step.

Use it for:

- Interactive data exploration in Python with inline plots and rich output formatting.
- Running Jupyter kernels in a GUI environment when a web browser is unavailable or undesirable.
- Session export and code editing with multiline support and syntax highlighting.
- Remote kernel connection with a local graphical interface.
- Development workflows requiring a terminal-like feel with GUI conveniences like calltips.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

QtConsole is a Qt-based graphical console for Jupyter kernels that provides syntax highlighting, inline figures, and multiline editing in a GUI environment.

Yes, if you want a graphical Jupyter console with syntax highlighting and inline figures. The package is actively maintained, has low install friction, and carries a permissive BSD license. The main gotcha is that pip requires manual Qt binding installation; conda users have no friction. No known security vulnerabilities. Suitable for interactive development and data exploration.

## Install

pip install qtconsole
uv add qtconsole
poetry add qtconsole

## Installing qtconsole

Before you install: Low install friction with a pure-Python wheel distribution. Maintenance is active. However, QtConsole requires a Qt binding which pip does not install automatically—conda handles this automatically, but pip users must install a Qt binding separately.

License in practice: BSD license is permissive and poses no restrictions on use, modification, or distribution in commercial or private projects.

Quickstart:

pip install qtconsole
# Ensure a Qt binding is installed separately
jupyter qtconsole

A Qt binding library must be installed separately when using pip; conda installs it automatically.

Verify before relying:

- Which Qt bindings (PyQt5, PyQt6, PySide2, PySide6) are supported and whether one is recommended.
- Performance characteristics or resource usage compared to other Jupyter frontends.
- Specific GUI features beyond syntax highlighting and inline figures that differentiate it from alternatives.

## Package facts

- License: BSD (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 3.4M/month (top 5,000 on PyPI)
- Known vulnerabilities: none known

## Tags

jupyter console gui, qt-based jupyter terminal, interactive kernel console, jupyter rich console, graphical jupyter shell, syntax highlighting jupyter console, jupyter gui repl, jupyter-frontend, interactive-shell, gui-repl

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