Release 1.0.0 (to master)

CHANGELOG.md

@@ -6,9 +6,9 @@ All notable changes to Predspot are documented here. The format follows
 
 ## [Unreleased]
 
-## [0.2.0] - 2026-09
+## [1.0.0] - 2026-09-14
 
-Revival release: the code base now targets Python 3.10+ with current
+First stable release and revival of the project: the code base now targets Python 3.10+ with current
 versions of pandas (>= 2.2), GeoPandas (>= 1.0), scikit-learn and statsmodels.
 
 ### Added
@@ -43,6 +43,8 @@ versions of pandas (>= 2.2), GeoPandas (>= 1.0), scikit-learn and statsmodels.
   `debug=` arguments were removed.
 - Wrapper estimators expose their inner estimator as `.estimator`
   (previously `._estimator`).
+- Version jumps from 0.1.x to 1.0.0: the public API (`Dataset`, mappings,
+  feature classes, `PredictionPipeline`) is considered stable from here on.
 - `Dataset` no longer modifies the input DataFrame and requires the study
   area to have a CRS.
 - Grid centroids are computed in a projected CRS; grids accept study areas in

CONTRIBUTING.md

@@ -48,6 +48,6 @@ jupyter nbconvert --to notebook --execute --inplace examples/natal.ipynb
 ## Releasing
 
 1. Bump `__version__` in `src/predspot/__init__.py` and update `CHANGELOG.md`.
-2. Merge to `master`, then tag and push: `git tag v0.2.0 && git push origin v0.2.0`.
+2. Merge to `master`, then tag and push: `git tag -a v1.0.0 -m "Predspot 1.0.0" && git push origin v1.0.0`.
 3. The `Publish to PyPI` workflow builds the distribution and uploads it via
    PyPI trusted publishing.

pyproject.toml

@@ -18,7 +18,7 @@ keywords = [
   "geopandas", "scikit-learn", "forecasting", "criminology",
 ]
 classifiers = [
-  "Development Status :: 4 - Beta",
+  "Development Status :: 5 - Production/Stable",
   "Intended Audience :: Science/Research",
   "Operating System :: OS Independent",
   "Programming Language :: Python :: 3",

src/predspot/__init__.py

@@ -31,7 +31,7 @@
 from predspot.synthetic import generate_crimes
 from predspot.utilities import PandasFeatureUnion
 
-__version__ = "0.2.0"
+__version__ = "1.0.0"
 
 __all__ = [
     "Dataset",