Python compatibility upgrade to python 3.13

.github/workflows/python-app.yml

@@ -11,7 +11,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: ["3.10", "3.11", "3.12"]
+        python-version: ["3.10", "3.11", "3.12", "3.13"]
 
     steps:
       - name: 🛎️ Checkout code

CHANGELOG.md

@@ -39,8 +39,13 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/)
 - **Streamlit App**:
     - Updated `kaleido` dependency to latest version.
 
-## [1.0.3] – 2025-07-15  :bug: **“Patch Release”**
+## [1.0.3] – 2025-07-11  :bug: **“Patch Release”**
 ### Fixed
 - **Streamlit Cloud App**:
     - Fixed issue with PNG export not working in the latest version of Kaleido, new major version of Kaleido now requires Chromium to be installed. So we have downgraded Kaleido to 0.2.1. We have tried to call `kaleido.get_chrome_sync()` to ensure it works in Streamlit Cloud and other environments, but it is not
-    possible to call it in the Streamlit Cloud environment, the Streamlit Cloud environment does not allow changing system environment variables like `KALEIDO_CACHE_DIR` or calling `kaleido.get_chrome_sync()`. So we have removed the call to `kaleido.get_chrome_sync()` and set the default format, width, height, and scale for PNG export using `pio.kaleido.scope`. For this we also had to update the `plotly` dependency to `<6.0.0` to ensure compatibility with the `0.2.1` version of `kaleido`.
+    possible to call it in the Streamlit Cloud environment, the Streamlit Cloud environment does not allow changing system environment variables like `KALEIDO_CACHE_DIR` or calling `kaleido.get_chrome_sync()`. So we have removed the call to `kaleido.get_chrome_sync()` and set the default format, width, height, and scale for PNG export using `pio.kaleido.scope`. For this we also had to update the `plotly` dependency to `<6.0.0` to ensure compatibility with the `0.2.1` version of `kaleido`.
+
+## [1.0.4] - 2025-08-30 &nbsp;:tada: **“Support for Python 3.13”**
+### Changed
+- **Python Compatibility**:
+    - As the latest TensorFlow is now compatible with Python 3.13, updated Python compatibility in `pyproject.toml` and classifiers to include Python 3.13.

Dockerfile

@@ -1,5 +1,5 @@
 # Use Python as the base image
-FROM python:3.12-slim
+FROM python:3.13-slim
 
 # Set working directory
 WORKDIR /app

README.md

@@ -109,7 +109,7 @@ merrypopins supports Python 3.10+ and depends on:
 
 These are installed automatically via `pip`.
 
-All core and development dependencies are tested with Python 3.10 through 3.12.
+All core and development dependencies are tested with Python 3.10 through 3.13.
 ---
 
 ## Quickstart
@@ -428,7 +428,7 @@ Notes:
    pytest --cov=merrypopins --cov-report=term-missing
    ```
     This command runs all tests in the `tests/` directory and generates a coverage report showing which lines of code were executed during the tests.
-    Tests and linting are automatically run on each pull request via GitHub Actions. The CI uses Python 3.10–3.12 and runs pre-commit, pytest, and coverage checks.
+    Tests and linting are automatically run on each pull request via GitHub Actions. The CI uses Python 3.10–3.13 and runs pre-commit, pytest, and coverage checks.
 
 3. Generate HTML coverage report:
    ```bash

docs/installation.md

@@ -23,7 +23,7 @@ merrypopins supports Python 3.10+ and depends on:
 
 These are installed automatically via `pip`.
 
-All core and development dependencies are tested with Python 3.10 through 3.12.
+All core and development dependencies are tested with Python 3.10 through 3.13.
 
 # Development & Testing
 
@@ -91,7 +91,7 @@ Notes:
    pytest --cov=merrypopins --cov-report=term-missing
    ```
    This command runs all tests in the `tests/` directory and generates a coverage report showing which lines of code were executed during the tests.
-   Tests and linting are automatically run on each pull request via GitHub Actions. The CI uses Python 3.10–3.12 and runs pre-commit, pytest, and coverage checks.
+   Tests and linting are automatically run on each pull request via GitHub Actions. The CI uses Python 3.10–3.13 and runs pre-commit, pytest, and coverage checks.
 
 3. Generate HTML coverage report:
    ```bash

pyproject.toml

@@ -4,10 +4,10 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "merrypopins"
-version = "1.0.3"
+version = "1.0.4"
 description = "Merrypopins: Automated pop-in detection for nano-indentation experiments tooling: load_datasets, preprocess, locate, statistics & make_dataset"
 readme = "README.md"
-requires-python = ">=3.10,<3.13"
+requires-python = ">=3.10,<3.14"
 license = { text = "MIT" }
 authors = [
   { name = "Cahit Acar", email = "c.acar.business@gmail.com" },
@@ -21,6 +21,7 @@ classifiers = [
   "Programming Language :: Python :: 3.10",
   "Programming Language :: Python :: 3.11",
   "Programming Language :: Python :: 3.12",
+  "Programming Language :: Python :: 3.13",
   "Operating System :: OS Independent",
   "Topic :: Scientific/Engineering :: Physics"
 ]

src/merrypopins/__init__.py

@@ -11,7 +11,7 @@
  - `make_dataset`: Construct enriched datasets by running the full pipeline and exporting annotated results and visualizations.
 """
 
-__version__ = "1.0.3"
+__version__ = "1.0.4"
 
 # Expose submodules at the package level
 from . import load_datasets, preprocess, locate, statistics, make_dataset