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Light-weight project manager for Python projects.

Project description


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Light-weight project manager for Python projects.

This is a tiny tool built to automate repetitive manual tasks, when creating a new Python development project and managing project dependencies. What you will end up with, when using jetzt?

  1. A new project directory under your current directory.
  2. A new virtualenv named venv under the project directory with the System-level installed Python 3.6+ version.
  3. The virtualenv will have pip and setuptools installed and updated to latest available versions.
  4. Additional packages will be installed based on the selected project type.
  5. Depending on the project type, other resources may be created to initialize a new project.


This has been tested on the following setup:

  1. MacOS Sierra 10.12.6 and newer
  2. Python 3.6+ (installed via Homebrew)
  3. Zsh shell (with oh-my-zsh)

Things should probably work nicely on other releases of macOS and on various Linux distros too. Python 3.6+ and zsh are expected.

A changelog is maintained.

Create new project

Run jetzt --scaffold in the directory, where you want to place your project directory, and follow the prompt.

Scaffolding options

You have couple of options for a new project.

Each project will have the following packages installed as development dependencies:

  • flake8
  • pytest
  • jetzt

These will be listed in requirements-dev.txt.

A metadata file jetzt_metadata.json is maintained, and this will be used to manage the project metadata, including installed dependencies. This should be committed to git along with the rest of the project files.

Python - [Blank]

This scaffolding option is meant to be a good starting point for a generic Python project. This option will not install any additional packages.

Python - Flask

This scaffolding option is meant to be a good starting point for a new Flask-based webapp / API project. This option will install the following packages:

  • Flask

These will be listed in requirements.txt.

Python - Jupyter

This scaffolding option is meant to be a good starting point for a new data science / analytics project. This option will install the following packages:

  • jupyter + ipykernel
  • pandas
  • matplotlib
  • seaborn

These will be listed in requirements.txt.

Also a data-directory will be created, and this notebook will be copied to the project root (the notebook is included in the installation package).

After scaffolding, start a jupyter server by running jupyter-notebook in the project root directory.

Manage Python dependencies

All project and dependency management takes place in a virtualenv (created with jetzt --scaffold), so make sure you have activated the project's environment before running these commands. There is naturally the standard way of using pip to install dependencies, and manually add them to requirements.txt, etc.

Jetzt includes an option to install and manage the dependencies for you. Please continue reading.

Install a dependency

To install a package requests, run jetzt --install and follow the prompt. You have an option to install the package as a production dependency or as a development dependency. What does all this mean, you might ask? Jetzt will:

  1. Install the package requests (latest available version).
  2. Add the package requests to requirements.txt with a version requirement set to minimum of the currently installed version. The packages, which requests depends on, are not added. If you selected DEV as a dependency type, the file requirements-dev.txt will be used instead.

At the moment, you can only install one package at a time.

Example of requirements.txt:


Version pinning: To install a specific version of a package, add the version, just as you would with pip. For example: requests==2.20.1. This will pin the version in requirements.txt like so:


List installed dependencies

To list installed dependencies, run jetzt --list.

List outdated dependencies

To list outdated dependencies, run jetzt --outdated.

Update outdated dependency

To update an outdated dependency, run jetzt --update. This will allow you to choose an outdated dependency to update. After the update, the command will update the outdated dependency list automatically.



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