Skip to main content

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

Project description

Tests Documentation Status

Codacy Badge codecov Code style: black

License: GPL v3

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-1.3.2.tar.gz (268.0 kB view details)

Uploaded Source

Built Distribution

FAST_OAD_core-1.3.2-py3-none-any.whl (343.1 kB view details)

Uploaded Python 3

File details

Details for the file FAST-OAD-core-1.3.2.tar.gz.

File metadata

  • Download URL: FAST-OAD-core-1.3.2.tar.gz
  • Upload date:
  • Size: 268.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.8.12 Linux/5.11.0-1028-azure

File hashes

Hashes for FAST-OAD-core-1.3.2.tar.gz
Algorithm Hash digest
SHA256 f22cfef86f6e4d1d6e6e89d5cc2506e95646f86c2a82f96b65704bbdea6b9b82
MD5 710472775884c5dc3e10bbb92031e22f
BLAKE2b-256 5c7d90d061231748efcd955d6e8606e76c7237a2e3cac9b33bc5d1196cd749e8

See more details on using hashes here.

File details

Details for the file FAST_OAD_core-1.3.2-py3-none-any.whl.

File metadata

  • Download URL: FAST_OAD_core-1.3.2-py3-none-any.whl
  • Upload date:
  • Size: 343.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.8.12 Linux/5.11.0-1028-azure

File hashes

Hashes for FAST_OAD_core-1.3.2-py3-none-any.whl
Algorithm Hash digest
SHA256 bba69959c32aeee653656d6e1299695b8404edb0c90f61731d449ab61f17cc34
MD5 9c32a8b4eda93853abc1da08ed9d400e
BLAKE2b-256 34c75b3e86d4fc23d0cd528d7ff78baac32f9f27e2dfe588755450ec0ada0f13

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