Skip to main content

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

Project description

Tests Codacy Badge codecov Code style: black License: GPL v3

Documentation Status Binder

FAST-OAD: Future Aircraft Sizing Tool - Overall Aircraft Design

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 3.7.0.

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-1.4.2.tar.gz (767.9 kB view details)

Uploaded Source

Built Distribution

FAST_OAD_core-1.4.2-py3-none-any.whl (886.1 kB view details)

Uploaded Python 3

File details

Details for the file FAST-OAD-core-1.4.2.tar.gz.

File metadata

  • Download URL: FAST-OAD-core-1.4.2.tar.gz
  • Upload date:
  • Size: 767.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.15 CPython/3.10.6 Linux/5.15.0-1031-azure

File hashes

Hashes for FAST-OAD-core-1.4.2.tar.gz
Algorithm Hash digest
SHA256 144a3d2265070108ae221d2e8676e9c30cf5296420658d91346ae3b9f0277135
MD5 ee9bb0f94e424a29b37ca54a2c7b7967
BLAKE2b-256 27ddb2f66235b5ba15c9e754f7e6474f65a7eb25661919ac3d14dccd209c97cb

See more details on using hashes here.

File details

Details for the file FAST_OAD_core-1.4.2-py3-none-any.whl.

File metadata

  • Download URL: FAST_OAD_core-1.4.2-py3-none-any.whl
  • Upload date:
  • Size: 886.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.15 CPython/3.10.6 Linux/5.15.0-1031-azure

File hashes

Hashes for FAST_OAD_core-1.4.2-py3-none-any.whl
Algorithm Hash digest
SHA256 556cde3adbe4095c4a3489726250297ab0746d6d1725276313e23ceb98da07b8
MD5 8d1af5cc92806245f828026dc5934a6f
BLAKE2b-256 bedab45aec2bf5c042a528c8866505f07cfe0b6bb44446ebfcf63e8cb3af4084

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