diff --git a/plots/heatmap-stripes-climate/implementations/pygal.py b/plots/heatmap-stripes-climate/implementations/pygal.py
new file mode 100644
index 0000000000..558d9d2486
--- /dev/null
+++ b/plots/heatmap-stripes-climate/implementations/pygal.py
@@ -0,0 +1,169 @@
+""" pyplots.ai
+heatmap-stripes-climate: Climate Warming Stripes
+Library: pygal 3.1.0 | Python 3.14.3
+Quality: 87/100 | Created: 2026-03-06
+"""
+
+import importlib
+import re
+import sys
+
+import numpy as np
+
+
+# Avoid importing this file instead of the pygal package
+_script_dir = sys.path[0]
+sys.path.remove(_script_dir)
+pygal = importlib.import_module("pygal")
+Style = importlib.import_module("pygal.style").Style
+cairosvg = importlib.import_module("cairosvg")
+sys.path.insert(0, _script_dir)
+
+# Data - Simulated global temperature anomalies (relative to 1961-1990 baseline)
+np.random.seed(42)
+years = list(range(1850, 2025))
+n_years = len(years)
+
+base_trend = np.concatenate(
+    [
+        np.linspace(-0.35, -0.15, 50),
+        np.linspace(-0.15, -0.25, 30),
+        np.linspace(-0.25, -0.05, 30),
+        np.linspace(-0.05, 0.30, 25),
+        np.linspace(0.30, 1.20, 40),
+    ]
+)
+noise = np.random.normal(0, 0.10, n_years)
+anomalies = np.round(base_trend + noise, 2)
+
+# Color scale symmetric around zero
+vmax = float(np.percentile(np.abs(anomalies), 90))
+vmin = -vmax
+
+# Diverging blue-to-red color stops (Ed Hawkins warming stripes palette)
+COLOR_STOPS = [
+    (0.00, (8, 48, 107)),
+    (0.12, (33, 102, 172)),
+    (0.25, (67, 147, 195)),
+    (0.42, (146, 197, 222)),
+    (0.50, (245, 245, 245)),
+    (0.58, (244, 165, 130)),
+    (0.75, (214, 96, 77)),
+    (0.88, (178, 24, 43)),
+    (1.00, (103, 0, 13)),
+]
+
+# Map each anomaly to a hex color via piecewise linear interpolation
+bar_colors = []
+for a in anomalies:
+    t = max(0.0, min(1.0, (a - vmin) / (vmax - vmin)))
+    r, g, b = COLOR_STOPS[-1][1]
+    for k in range(len(COLOR_STOPS) - 1):
+        t0, c0 = COLOR_STOPS[k]
+        t1, c1 = COLOR_STOPS[k + 1]
+        if t <= t1:
+            f = (t - t0) / (t1 - t0) if t1 > t0 else 0
+            r = int(c0[0] + (c1[0] - c0[0]) * f)
+            g = int(c0[1] + (c1[1] - c0[1]) * f)
+            b = int(c0[2] + (c1[2] - c0[2]) * f)
+            break
+    bar_colors.append(f"#{r:02x}{g:02x}{b:02x}")
+
+# Pygal style - minimal chrome, larger title for 4800px canvas
+custom_style = Style(
+    background="white",
+    plot_background="white",
+    foreground="#333333",
+    foreground_strong="#222222",
+    foreground_subtle="#cccccc",
+    colors=("#306998",),
+    title_font_size=48,
+    label_font_size=24,
+    major_label_font_size=28,
+    value_font_size=14,
+    font_family="sans-serif",
+)
+
+# Create chart - 3:1 aspect ratio per spec for horizontal time emphasis
+chart = pygal.Bar(
+    width=4800,
+    height=1600,
+    style=custom_style,
+    title="heatmap-stripes-climate \u00b7 pygal \u00b7 pyplots.ai",
+    show_legend=False,
+    show_y_guides=False,
+    show_x_guides=False,
+    show_y_labels=False,
+    show_x_labels=True,
+    margin=0,
+    margin_top=120,
+    margin_bottom=140,
+    margin_left=10,
+    margin_right=10,
+    spacing=0,
+    print_values=False,
+    range=(0, 1),
+    stroke=False,
+    truncate_label=-1,
+)
+
+# Only show first and last year labels for minimal design
+chart.x_labels = [str(y) if y in (years[0], years[-1]) else "" for y in years]
+chart.add("Temperature Anomaly", [{"value": 1, "color": bar_colors[i]} for i in range(n_years)])
+
+# Render SVG, strip axis lines pygal draws by default (no API to disable)
+svg_str = chart.render(is_unicode=True)
+svg_str = re.sub(r'<path[^>]*class="line"[^>]*/>', "", svg_str)
+cairosvg.svg2png(bytestring=svg_str.encode("utf-8"), write_to="plot.png")
+
+# Interactive HTML version with year tooltips (leverages pygal SVG strengths)
+html_chart = pygal.Bar(
+    width=4800,
+    height=1600,
+    style=custom_style,
+    title="heatmap-stripes-climate \u00b7 pygal \u00b7 pyplots.ai",
+    show_legend=False,
+    show_y_guides=False,
+    show_x_guides=False,
+    show_y_labels=False,
+    show_x_labels=True,
+    margin=0,
+    margin_top=120,
+    margin_bottom=140,
+    margin_left=10,
+    margin_right=10,
+    spacing=0,
+    print_values=False,
+    range=(0, 1),
+    stroke=False,
+    truncate_label=-1,
+)
+html_chart.x_labels = [str(y) for y in years]
+html_chart.x_labels_major = [str(y) for y in years if y % 25 == 0]
+html_chart.show_minor_x_labels = False
+html_chart.add(
+    "Temperature Anomaly",
+    [{"value": 1, "color": bar_colors[i], "label": f"{years[i]}: {anomalies[i]:+.2f}\u00b0C"} for i in range(n_years)],
+)
+
+html_content = f"""<!DOCTYPE html>
+<html>
+<head>
+    <meta charset="utf-8">
+    <title>heatmap-stripes-climate - pygal</title>
+    <style>
+        body {{ margin: 0; display: flex; justify-content: center; align-items: center;
+               min-height: 100vh; background: #f5f5f5; }}
+        .chart {{ max-width: 100%; height: auto; }}
+    </style>
+</head>
+<body>
+    <figure class="chart">
+        {html_chart.render(is_unicode=True)}
+    </figure>
+</body>
+</html>
+"""
+
+with open("plot.html", "w", encoding="utf-8") as fout:
+    fout.write(html_content)
diff --git a/plots/heatmap-stripes-climate/metadata/pygal.yaml b/plots/heatmap-stripes-climate/metadata/pygal.yaml
new file mode 100644
index 0000000000..8cd4bea679
--- /dev/null
+++ b/plots/heatmap-stripes-climate/metadata/pygal.yaml
@@ -0,0 +1,234 @@
+library: pygal
+specification_id: heatmap-stripes-climate
+created: '2026-03-06T02:36:57Z'
+updated: '2026-03-06T03:14:45Z'
+generated_by: claude-opus-4-5-20251101
+workflow_run: 22746425916
+issue: 4423
+python_version: 3.14.3
+library_version: 3.1.0
+preview_url: https://storage.googleapis.com/pyplots-images/plots/heatmap-stripes-climate/pygal/plot.png
+preview_thumb: https://storage.googleapis.com/pyplots-images/plots/heatmap-stripes-climate/pygal/plot_thumb.png
+preview_html: https://storage.googleapis.com/pyplots-images/plots/heatmap-stripes-climate/pygal/plot.html
+quality_score: 87
+review:
+  strengths:
+  - Excellent warming stripes visualization with custom 9-stop Ed Hawkins-style diverging
+    palette
+  - Strong data storytelling - warming trend immediately visible through pure color
+    encoding
+  - Dual output (PNG + interactive HTML) leverages pygal SVG strengths with year/anomaly
+    tooltips
+  - Realistic temperature anomaly data with appropriate scale and variability
+  - Very clean minimalist design faithful to the warming stripes concept
+  weaknesses:
+  - Duplicated chart configuration between PNG and HTML versions adds code verbosity
+  - Regex SVG post-processing to remove axis lines is fragile
+  - Year labels deviate slightly from no-labels spec requirement
+  - sys.path manipulation adds import complexity
+  image_description: 'The plot displays climate warming stripes spanning 1850-2024
+    as a sequence of contiguous vertical colored bars. The left portion is dominated
+    by deep blues and medium blues, representing negative temperature anomalies from
+    the 1850s through early 1900s. The center transitions through lighter blues and
+    near-white bars around the mid-20th century (near-zero anomalies). The right portion
+    progresses through salmon/orange tones to deep reds and maroons for the most recent
+    decades, clearly communicating accelerating warming. The title "heatmap-stripes-climate
+    · pygal · pyplots.ai" is centered at the top in dark text. Only two year labels
+    appear at the bottom corners: "1850" (left) and "2024" (right). The canvas is
+    4800x1600px (3:1 aspect ratio) with a white background. No axes, gridlines, or
+    legends are present — this is a minimalist pure-color visualization.'
+  criteria_checklist:
+    visual_quality:
+      score: 27
+      max: 30
+      items:
+      - id: VQ-01
+        name: Text Legibility
+        score: 7
+        max: 8
+        passed: true
+        comment: Font sizes explicitly set (title=48, label=24, major_label=28). Title
+          and year labels clearly readable.
+      - id: VQ-02
+        name: No Overlap
+        score: 6
+        max: 6
+        passed: true
+        comment: No overlapping text. Only two year labels plus title, all well-separated.
+      - id: VQ-03
+        name: Element Visibility
+        score: 5
+        max: 6
+        passed: true
+        comment: Bars clearly visible creating warming stripes effect. Minor SVG-to-PNG
+          rendering artifacts create faint seams.
+      - id: VQ-04
+        name: Color Accessibility
+        score: 4
+        max: 4
+        passed: true
+        comment: Blue-to-red diverging colormap appropriate for warming stripes. Symmetric
+          around zero.
+      - id: VQ-05
+        name: Layout & Canvas
+        score: 3
+        max: 4
+        passed: true
+        comment: 3:1 aspect ratio per spec. Plot fills most of canvas. Bottom margin
+          slightly large.
+      - id: VQ-06
+        name: Axis Labels & Title
+        score: 2
+        max: 2
+        passed: true
+        comment: Title follows required format. Minimal year labels provide essential
+          temporal context.
+    design_excellence:
+      score: 16
+      max: 20
+      items:
+      - id: DE-01
+        name: Aesthetic Sophistication
+        score: 6
+        max: 8
+        passed: true
+        comment: Custom 9-stop Ed Hawkins-style diverging palette. Intentional minimalism.
+          Above configured default.
+      - id: DE-02
+        name: Visual Refinement
+        score: 5
+        max: 6
+        passed: true
+        comment: 'Excellent minimalism: no grid, no guides, no spines, zero spacing.
+          Clean white background.'
+      - id: DE-03
+        name: Data Storytelling
+        score: 5
+        max: 6
+        passed: true
+        comment: Blue-to-red progression makes warming trend immediately obvious.
+          Data choice reinforces narrative.
+    spec_compliance:
+      score: 14
+      max: 15
+      items:
+      - id: SC-01
+        name: Plot Type
+        score: 5
+        max: 5
+        passed: true
+        comment: 'Correct: warming stripes as sequential vertical colored bars, one
+          per year.'
+      - id: SC-02
+        name: Required Features
+        score: 3
+        max: 4
+        passed: true
+        comment: 'All features present. Minor deviation: year labels added despite
+          spec saying no labels.'
+      - id: SC-03
+        name: Data Mapping
+        score: 3
+        max: 3
+        passed: true
+        comment: X-axis maps to years (1850-2024), color maps to temperature anomaly.
+          All 175 years represented.
+      - id: SC-04
+        name: Title & Legend
+        score: 3
+        max: 3
+        passed: true
+        comment: Title follows required format. No legend correct for single-series
+          viz.
+    data_quality:
+      score: 15
+      max: 15
+      items:
+      - id: DQ-01
+        name: Feature Coverage
+        score: 6
+        max: 6
+        passed: true
+        comment: 'Full range: negative anomalies (blues), near-zero (whites), positive
+          (reds). Clear warming trend with variability.'
+      - id: DQ-02
+        name: Realistic Context
+        score: 5
+        max: 5
+        passed: true
+        comment: Global temperature anomalies relative to 1961-1990 baseline. Neutral
+          scientific topic. Matches real observations.
+      - id: DQ-03
+        name: Appropriate Scale
+        score: 4
+        max: 4
+        passed: true
+        comment: Anomalies ~-0.5 to +1.2C, realistic for global temperature record.
+          Noise level creates plausible variability.
+    code_quality:
+      score: 8
+      max: 10
+      items:
+      - id: CQ-01
+        name: KISS Structure
+        score: 2
+        max: 3
+        passed: true
+        comment: Follows imports-data-plot-save flow but duplicates chart config for
+          HTML version. sys.path workaround adds complexity.
+      - id: CQ-02
+        name: Reproducibility
+        score: 2
+        max: 2
+        passed: true
+        comment: np.random.seed(42) set for deterministic data generation.
+      - id: CQ-03
+        name: Clean Imports
+        score: 2
+        max: 2
+        passed: true
+        comment: 'All imports used: importlib, re, sys, numpy, pygal, Style, cairosvg.'
+      - id: CQ-04
+        name: Code Elegance
+        score: 1
+        max: 2
+        passed: true
+        comment: Duplicated chart config is verbose. Regex SVG manipulation is pragmatic
+          but fragile.
+      - id: CQ-05
+        name: Output & API
+        score: 1
+        max: 1
+        passed: true
+        comment: Saves plot.png via cairosvg. Current API usage.
+    library_mastery:
+      score: 7
+      max: 10
+      items:
+      - id: LM-01
+        name: Idiomatic Usage
+        score: 3
+        max: 5
+        passed: true
+        comment: Uses pygal.Bar with custom Style, per-item color dicts, x_labels.
+          Relies on regex post-processing for axis removal.
+      - id: LM-02
+        name: Distinctive Features
+        score: 4
+        max: 5
+        passed: true
+        comment: HTML interactive version with year tooltips leverages pygal SVG interactivity.
+          x_labels_major, per-value color/label dicts.
+  verdict: APPROVED
+impl_tags:
+  dependencies:
+  - cairosvg
+  techniques:
+  - html-export
+  - custom-legend
+  patterns:
+  - data-generation
+  dataprep: []
+  styling:
+  - minimal-chrome
+  - custom-colormap