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-1.3.4.tar.gz (269.6 kB view details)

Uploaded Source

Built Distribution

FAST_OAD_core-1.3.4-py3-none-any.whl (344.9 kB view details)

Uploaded Python 3

File details

Details for the file FAST-OAD-core-1.3.4.tar.gz.

File metadata

  • Download URL: FAST-OAD-core-1.3.4.tar.gz
  • Upload date:
  • Size: 269.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.8.12 Linux/5.13.0-1029-azure

File hashes

Hashes for FAST-OAD-core-1.3.4.tar.gz
Algorithm Hash digest
SHA256 fb10cb44310c9fbc67fc3be4f079ac18aea89d795dcc839239d36005021d13f1
MD5 f37a721cd8cc1374e77fb08a9ee59cc8
BLAKE2b-256 50a42a0f1aa724200126f582c8674acb31fde853a872381b33900fb4936145fa

See more details on using hashes here.

File details

Details for the file FAST_OAD_core-1.3.4-py3-none-any.whl.

File metadata

  • Download URL: FAST_OAD_core-1.3.4-py3-none-any.whl
  • Upload date:
  • Size: 344.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.8.12 Linux/5.13.0-1029-azure

File hashes

Hashes for FAST_OAD_core-1.3.4-py3-none-any.whl
Algorithm Hash digest
SHA256 9b36fa6b8f76391f1e6d42d5eef918b86c0831c1dca04455f139bc6616d1f2d1
MD5 40ffb3d24e7c873927f405c9cb05a879
BLAKE2b-256 01b0b4f3635306c23fc0f212c25da574576b37dbb336dfbd093e6c5b4181ab35

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