PyMapManager is an ecosystem of tools to load and visualize time-series annotations and 3D image volumes. For a complete overview, see the main PyMapManager documentation.
Note: This code is under active development and is not ready for general use. Check back later and we will eventually have a working version.
PyMapManager has a modular architecture with the following components:
- Backend API
- Frontend desktop GUI
- Frontend web interface
Create and activate a conda virtual environment
conda create -y -n pmm-env python=3.11
conda activate pmm-env
Clone the GitHub repository
git clone git@github.com:mapmanager/PyMapManager.git
cd PyMapManager
Install the backend from source
pip install -e .
Install the front-end desktop GUI and backend
pip install -e .[gui]
If you are using the zsh shell, you need to install using quotes (") like
pip install -e ".[gui]"
We are still in the early stages of development.
Make sure you have the PyMapManager-Data folder in the same folder as PyMapManager.
python sandbox/runStackWidget.py
The next generation desktop application version of Map Manager. Written in Python using the Qt interface library and using the PyMapManager Python package as an back-end.
This screen shot shows the main PyQt interface with a map plot (top left), an annotation plot (bottom left), and an image stack window (right).
This project will be merged with PyQt TiffViewer created by Chris Micek. The PyQt GUI interface is in PyQtMapManager/
See the examples/ folder for Jupyter notebooks with more examples.
Please see the API Documentation and a backup copy here.
A web server to browse and share Map Manager annotations and time-series images. In addition to the point-and-click interface, there is also a REST API to programmatically retrieve data.
Running the server is easy with either Python or Docker, see the server installation for more information.
The server includes web based browsing and plotting of Map Manager annotations.
... and browsing of 3D image volume time-series with annotations.
