Skip to main content

Pip requirements.txt generator based on imports in project

Project description

https://github.com/fivetran/pipreqs/actions/workflows/tests.yml/badge.svg https://img.shields.io/pypi/v/pipreqs-fivetran.svg https://img.shields.io/pypi/l/pipreqs-fivetran.svg

Installation

pip install pipreqs-fivetran

Obs.: if you don’t want support for jupyter notebooks, you can install pipreqs without the dependencies that give support to it. To do so, run:

pip install --no-deps pipreqs-fivetran
pip install yarg==0.1.9 docopt==0.6.2

Usage

Usage:
    pipreqs [options] [<path>]

Arguments:
    <path>                The path to the directory containing the application files for which a requirements file
                          should be generated (defaults to the current working directory)

Options:
    --use-local           Use ONLY local package info instead of querying PyPI
    --pypi-server <url>   Use custom PyPi server
    --proxy <url>         Use Proxy, parameter will be passed to requests library. You can also just set the
                          environments parameter in your terminal:
                          $ export HTTP_PROXY="http://10.10.1.10:3128"
                          $ export HTTPS_PROXY="https://10.10.1.10:1080"
    --debug               Print debug information
    --ignore <dirs>...    Ignore extra directories, each separated by a comma
    --no-follow-links     Do not follow symbolic links in the project
    --ignore-errors       Ignore errors while scanning files
    --encoding <charset>  Use encoding parameter for file open
    --savepath <file>     Save the list of requirements in the given file
    --print               Output the list of requirements in the standard output
    --force               Overwrite existing requirements.txt
    --diff <file>         Compare modules in requirements.txt to project imports
    --clean <file>        Clean up requirements.txt by removing modules that are not imported in project
    --mode <scheme>       Enables dynamic versioning with <compat>, <gt> or <non-pin> schemes
                          <compat> | e.g. Flask~=1.1.2
                          <gt>     | e.g. Flask>=1.1.2
                          <no-pin> | e.g. Flask
    --scan-notebooks      Look for imports in jupyter notebook files.

Example

$ pipreqs /home/project/location
Successfully saved requirements file in /home/project/location/requirements.txt

Contents of requirements.txt

wheel==0.23.0
Yarg==0.1.9
docopt==0.6.2

Why not pip freeze?

  • pip freeze only saves the packages that are installed with pip install in your environment.

  • pip freeze saves all packages in the environment including those that you don’t use in your current project (if you don’t have virtualenv).

  • and sometimes you just need to create requirements.txt for a new project without installing modules.

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

pipreqs_fivetran-1.1.1.tar.gz (32.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pipreqs_fivetran-1.1.1-py3-none-any.whl (32.9 kB view details)

Uploaded Python 3

File details

Details for the file pipreqs_fivetran-1.1.1.tar.gz.

File metadata

  • Download URL: pipreqs_fivetran-1.1.1.tar.gz
  • Upload date:
  • Size: 32.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.4 CPython/3.13.0 Darwin/25.2.0

File hashes

Hashes for pipreqs_fivetran-1.1.1.tar.gz
Algorithm Hash digest
SHA256 f664ce472344fc215868107d1f13ff0f20b1382f16cd6f7653577875f8a26e1c
MD5 46dea871ef4e38bf311742dc0d676ded
BLAKE2b-256 41456737b48edd8ce08181b7d27164da26172c708e864b9cedb66c7ff460c8b8

See more details on using hashes here.

File details

Details for the file pipreqs_fivetran-1.1.1-py3-none-any.whl.

File metadata

  • Download URL: pipreqs_fivetran-1.1.1-py3-none-any.whl
  • Upload date:
  • Size: 32.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.4 CPython/3.13.0 Darwin/25.2.0

File hashes

Hashes for pipreqs_fivetran-1.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 6e4407597718d0c13d5cbf6f30a255cf47e95cfadd7127c5a6f318f4168d1ab5
MD5 43ec62453e084a387f556462ce6db41d
BLAKE2b-256 4ff6206e5865dedd44b475a2cff3d7c523e534c49ccce0fd08146f61f4aee9b3

See more details on using hashes here.

Supported by

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