Skip to main content

fal is an easy-to-use Serverless Python Framework

Project description

PyPI Tests

fal

fal is a serverless Python runtime that lets you run and scale code in the cloud with no infra management.

With fal, you can build pipelines, serve ML models and scale them up to many users. You scale down to 0 when you don't use any resources.

Quickstart

First, you need to install the fal package. You can do so using pip:

pip install fal

Then you need to authenticate:

fal auth login

You can also use fal keys that you can get from our dashboard.

Now can use the fal package in your Python scripts as follows:

import fal

@fal.function(
    "virtualenv",
    requirements=["pyjokes"],
)
def tell_joke() -> str:
    import pyjokes

    joke = pyjokes.get_joke()
    return joke

print("Joke from the clouds: ", tell_joke())

A new virtual environment will be created by fal in the cloud and the set of requirements that we passed will be installed as soon as this function is called. From that point on, our code will be executed as if it were running locally, and the joke prepared by the pyjokes library will be returned.

Next steps

If you would like to find out more about the capabilities of fal, check out to the docs. You can learn more about persistent storage, function caches and deploying your functions as API endpoints.

Contributing

Installing in editable mode with dev dependencies

pip install -e 'projects/fal[dev]'
pip install -e 'projects/fal_client[dev]'
pip install -e 'projects/isolate_proto[dev]'

Running tests

pytest

Pre-commit

cd projects/fal
pre-commit install

Commit format

Please follow conventional commits specification for descriptions/messages.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

fal-1.5.9.tar.gz (1.8 MB view details)

Uploaded Source

Built Distribution

fal-1.5.9-py3-none-any.whl (137.8 kB view details)

Uploaded Python 3

File details

Details for the file fal-1.5.9.tar.gz.

File metadata

  • Download URL: fal-1.5.9.tar.gz
  • Upload date:
  • Size: 1.8 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for fal-1.5.9.tar.gz
Algorithm Hash digest
SHA256 fc3855f0fe2e271d4c588b663c09920b4abbd70b19ec145908af4d940332dfa5
MD5 27b0a436367fbd421745bb11777bc605
BLAKE2b-256 4833b2ff0ab5f4df9fc2cf0998d7abac5bf859c8b132d24fe083a3fe5d17ad2d

See more details on using hashes here.

Provenance

File details

Details for the file fal-1.5.9-py3-none-any.whl.

File metadata

  • Download URL: fal-1.5.9-py3-none-any.whl
  • Upload date:
  • Size: 137.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for fal-1.5.9-py3-none-any.whl
Algorithm Hash digest
SHA256 6eda4e25a133b8ef9cbbf15022fc0876a3a46eee9c6e916d678b8de472305160
MD5 64dc258e9b9a89173f327ce1881557ff
BLAKE2b-256 f1c05d3dc280223bc04d494b85185030838b54f69946391a6b0ba26e6816c23c

See more details on using hashes here.

Provenance

Supported by

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