lbt-dragonfly
Collection of all Dragonfly core Python libraries
Decision gist · record as of 2026-08-14
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.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- AGPL-3.0 license requires source-code sharing for modifications; verify compliance before use in proprietary or closed-source projects.
- Low install friction; distributed as a wheel.
- Active maintenance with a release on 2026-08-14.
License · maintenance · safety
AGPL-3.0 (agpl) — 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.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 6 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 153,529 downloads/mo, #10,878 on PyPI
Alternatives
Verify before relying
pip install lbt-dragonfly
from dragonfly.model import Model
from dragonfly_energy.simulation import SimulationParameter- 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.
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 on this page. Verify before relying on it.
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
lbt-dragonfly on PyPI
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.
AGPL-3.0 license requires source-code sharing for modifications; verify compliance before use in proprietary or closed-source projects.
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
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 | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 8 packagesdragonfly-energydragonfly-radiancedragonfly-openstudiodragonfly-doe2dragonfly-uwgdragonfly-displaydragonfly-comparisonlbt-honeybee |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 153,529 / month, #10,878 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Operating System :: OS IndependentProgramming Language :: Python :: 2.7Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: IronPython |
Evidence: lbt_dragonfly-0.13.208-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “urban building energy simulation”
- lbt-dragonflylbt-dragonfly is a meta-package that installs all Dragonfly core…
- dragonfly-energyExtends Dragonfly to model building energy performance, converting 2D…
- honeybee-energyHoneybee-energy extends honeybee-core with energy simulation…
Give your agent the search over MCP, or paste the wish link into any chat.
More Scientific/Engineering packages
NumPy provides an N-dimensional array object and a comprehensive suite of mathematical, linear algebra, Fourier transform, and random number functions for scientific computing in Python.
pandas provides fast, flexible data structures (Series and DataFrame) for loading, cleaning, transforming, and analyzing labeled or relational data in Python.
scipy provides numerical algorithms for mathematics, science, and engineering—including optimization, integration, linear algebra, Fourier transforms, signal and image processing, and ODE solvers—built on numpy arrays.
scikit-learn provides a comprehensive Python library for supervised and unsupervised machine learning, including classification, regression, clustering, dimensionality reduction, and model evaluation tools built on NumPy and SciPy.
Install it if you need to train, evaluate, or deploy supervised or unsupervised learning models.
dill extends Python's pickle module to serialize and deserialize a much wider range of Python objects, including functions, lambdas, classes, and interpreter sessions, to byte streams for storage or network transmission.
Multiprocess is an enhanced fork of Python's standard multiprocessing library that uses dill for better serialization, allowing you to spawn processes with a threading-like API and share complex objects between them.
Install it if you use multiprocessing and encounter pickle serialization limits with lambdas or complex objects.
See also lbt-honeybee · dragonfly-energy · honeybee-energy · pvlib · colcon-common-extensions · pandapower · real-ladybug · cityseer · osmnx