---
id: lbt-dragonfly
version: "0.13.208"
license: AGPL-3.0
license_treatment: agpl
maintenance: active
---

# lbt-dragonfly — Collection of all Dragonfly core Python libraries

License: agpl · Maintenance: active · Downloads: 153.5K/mo

## What it is and what it does

lbt-dragonfly is a convenience meta-package that bundles Dragonfly's core libraries and all major extensions into a single installation. It has no source code of its own; instead, it exists solely to pull in dragonfly-energy, dragonfly-radiance, dragonfly-openstudio, dragonfly-doe2, dragonfly-uwg, dragonfly-display, dragonfly-comparison, and lbt-honeybee as dependencies, along with their transitive dependencies (dragonfly-core, dragonfly-schema, and lbt-ladybug).

This is useful for workflows that need multiple Dragonfly capabilities—energy simulation, daylighting analysis, OpenStudio integration, DOE-2 support, urban weather generation, and visualization—without having to manually specify each package. The trade-off is that you install everything at once, which can be substantial; if you only need one or two Dragonfly extensions, installing them directly may be lighter.

Use it for:

- Install all Dragonfly tools at once for a complete urban building energy and daylighting simulation environment.
- Set up a shared development environment where multiple team members need consistent access to all Dragonfly extensions.
- Integrate Dragonfly into a larger building-performance-analysis pipeline that uses energy, radiance, and microclimate modeling.
- Prototype or research workflows that combine energy simulation with daylighting and urban weather effects.
- Deploy Dragonfly in a containerized or cloud environment where a single installation command is preferred over managing individual packages.

## Worth the install?

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

lbt-dragonfly is a meta-package that installs all Dragonfly core libraries and extensions together, providing a single installation point for urban building energy simulation, daylighting analysis, and related tools.

Yes, if you need multiple Dragonfly extensions and can accept the AGPL-3.0 copyleft license. The package is actively maintained, has low install friction, and provides genuine convenience for multi-tool workflows. If you need only one or two Dragonfly capabilities, install those packages directly instead to keep your environment lighter. Verify AGPL-3.0 compliance for your use case before committing.

## Install

pip install lbt-dragonfly
uv add lbt-dragonfly
poetry add lbt-dragonfly

## Installing lbt-dragonfly

Before you install: Low install friction; distributed as a wheel. Active maintenance with a release on 2026-08-14. Depends on 8 runtime packages (dragonfly-energy, dragonfly-radiance, dragonfly-openstudio, dragonfly-doe2, dragonfly-uwg, dragonfly-display, dragonfly-comparison, lbt-honeybee), so installation will pull in a substantial dependency tree.

License in practice: Licensed under AGPL-3.0, which requires that any modifications or derivative works be distributed under the same license and made available to users. This is a copyleft license; use it only if you can comply with source-code sharing obligations.

Quickstart:

pip install lbt-dragonfly

from dragonfly.model import Model
from dragonfly_energy.simulation import SimulationParameter

AGPL-3.0 license requires source-code sharing for modifications; verify compliance before use in proprietary or closed-source projects.

Verify before relying:

- Whether all 8 runtime dependencies are actively maintained and compatible with each other.
- Whether the package supports both Python 2.7 and modern Python 3.x versions simultaneously or if Python 2.7 support is legacy.
- Performance and memory footprint when installing the full dependency tree.

## Package facts

- License: AGPL-3.0 (agpl)
- Python support: unspecified
- Install friction: low
- Maintenance: active
- Downloads: 153.5K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

urban building energy simulation, dragonfly installation bundle, building performance analysis, daylighting and radiance analysis, urban microclimate modeling, building energy modeling, dragonfly core libraries, building-simulation, meta-package, agpl-copyleft

[View on SkillFed](https://skillfed.io/packages/lbt-dragonfly) · [View on PyPI](https://pypi.org/project/lbt-dragonfly/)