Skip to main content

FAST-OAD is a framework for performing rapid Overall Aircraft Design

Project description

FAST-OAD logo

Future Aircraft Sizing Tool - Overall Aircraft Design

image image License: GPL v3

Tests Codacy Badge codecov Ruff

Documentation Status Binder DOI

FAST-OAD is a framework for performing rapid Overall Aircraft Design.

It proposes multi-disciplinary analysis and optimisation by relying on the OpenMDAO framework.

FAST-OAD allows easy switching between models for a same discipline, and also adding/removing/developing models to match the need of your study.

More details can be found in the official documentation.

Important notice:

Since version 1.3.0, FAST-OAD models for commercial transport aircraft have moved in package
FAST-OAD-CS25. This package is installed along with FAST-OAD, to keep backward compatibility.

Keep in mind that any update of these models will now come through new releases of FAST-OAD-CS25.

To get FAST-OAD without these models, you may install FAST-OAD-core.

:warning: Upgrading from an earlier version than 1.3 may break the fastoad command line (no impact on PythonAPI). See this issue for details and fix.

Want to try quickly?

You can run FAST-OAD tutorials without installation using our Binder-hosted Jupyter notebooks.

Install

Prerequisite:FAST-OAD needs at least Python 3.8.0.

It is recommended (but not required) to install FAST-OAD in a virtual environment (conda, venv, ...)

Once Python is installed, FAST-OAD can be installed using pip.

Note: If your network uses a proxy, you may have to do some settings for pip to work correctly

You can install the latest version with this command:

$ pip install --upgrade fast-oad

or, if you want the minimum installation without the CS25-related models:

$ pip install --upgrade fast-oad-core

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fast_oad_core-1.8.0.tar.gz (801.9 kB view details)

Uploaded Source

Built Distribution

fast_oad_core-1.8.0-py3-none-any.whl (942.3 kB view details)

Uploaded Python 3

File details

Details for the file fast_oad_core-1.8.0.tar.gz.

File metadata

  • Download URL: fast_oad_core-1.8.0.tar.gz
  • Upload date:
  • Size: 801.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.12 Linux/6.8.0-1014-azure

File hashes

Hashes for fast_oad_core-1.8.0.tar.gz
Algorithm Hash digest
SHA256 b47d888e3476e81c4386cf5a2ad508ec3175783974ab26c4e33e08109fc5ab23
MD5 b8c6de1a283253111fae8e80f547d938
BLAKE2b-256 3b2a836afc08679df5902acf88347aedaa5201fbb508120ce668bd38aa101b79

See more details on using hashes here.

File details

Details for the file fast_oad_core-1.8.0-py3-none-any.whl.

File metadata

  • Download URL: fast_oad_core-1.8.0-py3-none-any.whl
  • Upload date:
  • Size: 942.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.12 Linux/6.8.0-1014-azure

File hashes

Hashes for fast_oad_core-1.8.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6be38856c9871be498243467762e7b7686a999e0cc8ac7c1a7aac4d17591edd8
MD5 9d05a9a3f50cc5d408848fe7de322a87
BLAKE2b-256 0fa66d276b7e43247fddf73e779800cda928c6ab1158415d174c25e6c6398e8e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page