diff --git a/.github/workflows/packaging.yml b/.github/workflows/packaging.yml
new file mode 100644
index 0000000..6fb9bc2
--- /dev/null
+++ b/.github/workflows/packaging.yml
@@ -0,0 +1,37 @@
+name: Packaging
+
+on:
+  - push
+
+jobs:
+  format:
+    name: Check formatting
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+
+      - uses: actions/setup-python@v4.0.0
+        with:
+          python-version: "3.10"
+
+      - name: Install tox
+        run: python -m pip install tox
+
+      - name: Run yapf
+        run: tox -e format
+
+  lint:
+    name: Lint
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v3
+
+      - uses: actions/setup-python@v4.0.0
+        with:
+          python-version: "3.10"
+
+      - name: Install tox
+        run: python -m pip install tox
+
+      - name: Run flake8
+        run: tox -e lint
diff --git a/src/njab/__init__.py b/src/njab/__init__.py
index dc60a40..a77795e 100644
--- a/src/njab/__init__.py
+++ b/src/njab/__init__.py
@@ -1,5 +1,3 @@
-
-
 from importlib.metadata import version
 
 from . import stats, sklearn, plotting
diff --git a/src/njab/plotting/metrics.py b/src/njab/plotting/metrics.py
index 6c510b1..8831fce 100644
--- a/src/njab/plotting/metrics.py
+++ b/src/njab/plotting/metrics.py
@@ -6,6 +6,7 @@
 
 LIMITS = (-0.05, 1.05)
 
+
 def plot_split_auc(result: ResultsSplit, name: str,
                    ax: matplotlib.axes.Axes) -> matplotlib.axes.Axes:
     col_name = f"{name} (auc: {result.auc:.3f})"
diff --git a/src/njab/stats/ancova.py b/src/njab/stats/ancova.py
index 09bdaf7..fb43558 100644
--- a/src/njab/stats/ancova.py
+++ b/src/njab/stats/ancova.py
@@ -67,9 +67,8 @@ def add_fdr_scores(scores: pd.DataFrame,
                    p_val_column='p-unc') -> pd.DataFrame:
     if random_seed is not None:
         np.random.seed(random_seed)
-    reject, qvalue = statsmodels.stats.multitest.fdrcorrection(scores[p_val_column],
-                                                               alpha=alpha,
-                                                               method=method)
+    reject, qvalue = statsmodels.stats.multitest.fdrcorrection(
+        scores[p_val_column], alpha=alpha, method=method)
     scores['qvalue'] = qvalue
     scores['rejected'] = reject
     return scores