diff --git a/plots/network-bipartite/implementations/python/bokeh.py b/plots/network-bipartite/implementations/python/bokeh.py
new file mode 100644
index 0000000000..8b8830d18a
--- /dev/null
+++ b/plots/network-bipartite/implementations/python/bokeh.py
@@ -0,0 +1,204 @@
+""" anyplot.ai
+network-bipartite: Bipartite Network Graph
+Library: bokeh 3.9.0 | Python 3.13.13
+Quality: 84/100 | Created: 2026-05-14
+"""
+
+import sys
+
+
+sys.path.pop(0)  # prevent bokeh.py from shadowing the bokeh package
+
+import os
+import time
+from pathlib import Path
+
+import numpy as np
+from bokeh.io import output_file, save
+from bokeh.plotting import figure
+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options
+
+
+# Theme
+THEME = os.getenv("ANYPLOT_THEME", "light")
+PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17"
+ELEVATED_BG = "#FFFDF6" if THEME == "light" else "#242420"
+INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
+INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
+INK_MUTED = "#6B6A63" if THEME == "light" else "#A8A79F"
+
+COLOR_A = "#009E73"  # Students - Okabe-Ito position 1
+COLOR_B = "#D55E00"  # Courses  - Okabe-Ito position 2
+
+# Data: student-course enrollment network
+np.random.seed(42)
+
+students = [
+    "Alice",
+    "Bob",
+    "Carol",
+    "David",
+    "Emma",
+    "Frank",
+    "Grace",
+    "Henry",
+    "Iris",
+    "James",
+    "Kate",
+    "Liam",
+    "Maya",
+    "Noah",
+    "Olivia",
+]
+courses = [
+    "CS101",
+    "MATH201",
+    "PHYS101",
+    "BIO201",
+    "CHEM101",
+    "ENG101",
+    "HIST201",
+    "ART101",
+    "CS201",
+    "STAT101",
+    "ECON201",
+    "MUSIC101",
+]
+
+n_s = len(students)
+n_c = len(courses)
+
+# Generate enrollment edges (weighted toward popular courses)
+course_weights = np.array([3, 3, 2, 2, 2, 2, 1, 1, 2, 2, 1, 1], dtype=float)
+course_weights /= course_weights.sum()
+
+edges = set()
+for i in range(n_s):
+    n_enroll = np.random.randint(2, 6)
+    chosen = np.random.choice(n_c, size=n_enroll, replace=False, p=course_weights)
+    for c in chosen:
+        edges.add((i, int(c)))
+edges = sorted(edges)
+
+# Node degrees
+s_degree = np.zeros(n_s)
+c_degree = np.zeros(n_c)
+for s, c in edges:
+    s_degree[s] += 1
+    c_degree[c] += 1
+
+# Layout: students left (x=0.22), courses right (x=0.78)
+X_LEFT = 0.22
+X_RIGHT = 0.78
+s_y = np.linspace(0.92, 0.05, n_s)
+c_y = np.linspace(0.92, 0.05, n_c)
+
+# Node sizes proportional to degree
+s_sizes = 28 + 52 * (s_degree / s_degree.max())
+c_sizes = 28 + 52 * (c_degree / c_degree.max())
+
+# Edge segment coordinates
+seg_x0 = [X_LEFT] * len(edges)
+seg_y0 = [s_y[s] for s, c in edges]
+seg_x1 = [X_RIGHT] * len(edges)
+seg_y1 = [c_y[c] for s, c in edges]
+
+# Figure
+p = figure(
+    width=4800,
+    height=2700,
+    x_range=(-0.05, 1.05),
+    y_range=(-0.02, 1.08),
+    toolbar_location=None,
+    tools="",
+    title="Student-Course Enrollment · network-bipartite · bokeh · anyplot.ai",
+)
+
+# Edges
+p.segment(x0=seg_x0, y0=seg_y0, x1=seg_x1, y1=seg_y1, line_color=INK_MUTED, line_alpha=0.30, line_width=2)
+
+# Student nodes (set A)
+p.scatter(
+    x=[X_LEFT] * n_s, y=s_y.tolist(), size=s_sizes.tolist(), color=COLOR_A, line_color=PAGE_BG, line_width=4, alpha=0.92
+)
+
+# Course nodes (set B)
+p.scatter(
+    x=[X_RIGHT] * n_c,
+    y=c_y.tolist(),
+    size=c_sizes.tolist(),
+    color=COLOR_B,
+    line_color=PAGE_BG,
+    line_width=4,
+    alpha=0.92,
+)
+
+# Student labels (right-aligned, left of nodes)
+p.text(
+    x=[X_LEFT - 0.03] * n_s,
+    y=s_y.tolist(),
+    text=students,
+    text_align="right",
+    text_baseline="middle",
+    text_font_size="18pt",
+    text_color=INK_SOFT,
+)
+
+# Course labels (left-aligned, right of nodes)
+p.text(
+    x=[X_RIGHT + 0.03] * n_c,
+    y=c_y.tolist(),
+    text=courses,
+    text_align="left",
+    text_baseline="middle",
+    text_font_size="18pt",
+    text_color=INK_SOFT,
+)
+
+# Column headers (colored to match node sets)
+p.text(
+    x=[X_LEFT, X_RIGHT],
+    y=[1.03, 1.03],
+    text=["Students", "Courses"],
+    text_align="center",
+    text_baseline="middle",
+    text_font_size="24pt",
+    text_font_style="bold",
+    text_color=[COLOR_A, COLOR_B],
+)
+
+# Theme-adaptive chrome
+p.background_fill_color = PAGE_BG
+p.border_fill_color = PAGE_BG
+p.outline_line_color = None
+p.xaxis.visible = False
+p.yaxis.visible = False
+p.xgrid.visible = False
+p.ygrid.visible = False
+
+p.title.text_font_size = "28pt"
+p.title.text_color = INK
+p.title.text_font_style = "normal"
+
+# Save HTML + PNG
+output_file(f"plot-{THEME}.html")
+save(p)
+
+W, H = 4800, 2700
+opts = Options()
+for arg in (
+    "--headless=new",
+    "--no-sandbox",
+    "--disable-dev-shm-usage",
+    "--disable-gpu",
+    f"--window-size={W},{H}",
+    "--hide-scrollbars",
+):
+    opts.add_argument(arg)
+driver = webdriver.Chrome(options=opts)
+driver.set_window_size(W, H)
+driver.get(f"file://{Path(f'plot-{THEME}.html').resolve()}")
+time.sleep(3)
+driver.save_screenshot(f"plot-{THEME}.png")
+driver.quit()
diff --git a/plots/network-bipartite/metadata/python/bokeh.yaml b/plots/network-bipartite/metadata/python/bokeh.yaml
new file mode 100644
index 0000000000..f189c16be1
--- /dev/null
+++ b/plots/network-bipartite/metadata/python/bokeh.yaml
@@ -0,0 +1,238 @@
+library: bokeh
+language: python
+specification_id: network-bipartite
+created: '2026-05-14T21:11:07Z'
+updated: '2026-05-14T21:30:44Z'
+generated_by: claude-sonnet
+workflow_run: 25885513042
+issue: 5247
+python_version: 3.13.13
+library_version: 3.9.0
+preview_url_light: https://storage.googleapis.com/anyplot-images/plots/network-bipartite/python/bokeh/plot-light.png
+preview_url_dark: https://storage.googleapis.com/anyplot-images/plots/network-bipartite/python/bokeh/plot-dark.png
+preview_html_light: https://storage.googleapis.com/anyplot-images/plots/network-bipartite/python/bokeh/plot-light.html
+preview_html_dark: https://storage.googleapis.com/anyplot-images/plots/network-bipartite/python/bokeh/plot-dark.html
+quality_score: 84
+review:
+  strengths:
+  - 'Perfect spec compliance: bipartite layout, degree-encoded node sizes, color-by-set,
+    correct labeling'
+  - 'Excellent code quality: seed, clean imports, KISS structure, correct output filenames'
+  - Polished Okabe-Ito palette with color-coded column headers matching node colors
+  - Both themes pass legibility checks with no dark-on-dark or light-on-light failures
+  - Realistic and neutral student-course enrollment context with diverse names and
+    real course codes
+  weaknesses:
+  - 'LM-02: Bokeh interactive HTML is generated but no HoverTool or TapTool configured
+    — add tooltips showing node name and degree to leverage Bokeh strength'
+  - 'DE-03: No annotation callout highlights top hub student or most popular course
+    — add p.text() callout on highest-degree node in each column'
+  - 'DE-01: No edge curvature or visual separator between node columns — minor polish
+    gap'
+  image_description: |-
+    Light render (plot-light.png):
+      Background: Warm off-white #FAF8F1 — correct theme surface
+      Chrome: Title "Student-Course Enrollment · network-bipartite · bokeh · anyplot.ai" in dark ink at top-left (28pt). Column headers "Students" (green) and "Courses" (orange) in bold 24pt above each column. Student name labels right-aligned in INK_SOFT; course code labels left-aligned in INK_SOFT (18pt). All text readable against light background.
+      Data: 15 green (#009E73) student nodes on left, 12 orange (#D55E00) course nodes on right. Node sizes vary by degree. Semi-transparent gray edges (alpha 0.30) connect cross-set pairs. First series correctly uses brand green #009E73.
+      Legibility verdict: PASS
+
+    Dark render (plot-dark.png):
+      Background: Near-black #1A1A17 — correct dark surface
+      Chrome: Title and labels rendered in light ink (#F0EFE8 / #B8B7B0), clearly readable against dark background. No dark-on-dark text failures observed. Column headers retain their green and orange data colors, both visible on dark surface.
+      Data: Green and orange node colors are identical to the light render — only chrome (background, text) flips. Edge lines visible as subtle lighter strokes. Brand green #009E73 clearly visible on dark background.
+      Legibility verdict: PASS
+  criteria_checklist:
+    visual_quality:
+      score: 26
+      max: 30
+      items:
+      - id: VQ-01
+        name: Text Legibility
+        score: 7
+        max: 8
+        passed: true
+        comment: Title 28pt, headers 24pt bold, labels 18pt — all readable in both
+          themes
+      - id: VQ-02
+        name: No Overlap
+        score: 5
+        max: 6
+        passed: true
+        comment: Nodes evenly spaced; labels clear of nodes; edge crossing is structural,
+          not a failure
+      - id: VQ-03
+        name: Element Visibility
+        score: 5
+        max: 6
+        passed: true
+        comment: Nodes clearly visible; degree sizing works; edge alpha 0.30 slightly
+          low
+      - id: VQ-04
+        name: Color Accessibility
+        score: 2
+        max: 2
+        passed: true
+        comment: Green/orange CVD-safe Okabe-Ito pair
+      - id: VQ-05
+        name: Layout & Canvas
+        score: 3
+        max: 4
+        passed: true
+        comment: 4800x2700 landscape; clean layout; middle channel slightly tight
+      - id: VQ-06
+        name: Axis Labels & Title
+        score: 2
+        max: 2
+        passed: true
+        comment: Title correct; axes appropriately hidden; column headers as semantic
+          labels
+      - id: VQ-07
+        name: Palette Compliance
+        score: 2
+        max: 2
+        passed: true
+        comment: 'Students #009E73 pos-1, Courses #D55E00 pos-2; backgrounds correct
+          for both themes'
+    design_excellence:
+      score: 12
+      max: 20
+      items:
+      - id: DE-01
+        name: Aesthetic Sophistication
+        score: 5
+        max: 8
+        passed: true
+        comment: Color-coded headers, floating node borders, minimal chrome — thoughtful
+          but no edge curvature or advanced styling
+      - id: DE-02
+        name: Visual Refinement
+        score: 4
+        max: 6
+        passed: true
+        comment: Axes/grid hidden, edge alpha calibrated, background-color node borders
+      - id: DE-03
+        name: Data Storytelling
+        score: 3
+        max: 6
+        passed: false
+        comment: Degree-encoded sizes allow hub identification but no annotation highlights
+          top node in each set
+    spec_compliance:
+      score: 15
+      max: 15
+      items:
+      - id: SC-01
+        name: Plot Type
+        score: 5
+        max: 5
+        passed: true
+        comment: Correct bipartite network with two separated columns
+      - id: SC-02
+        name: Required Features
+        score: 4
+        max: 4
+        passed: true
+        comment: Color by set, size by degree, labels, cross-set-only edges
+      - id: SC-03
+        name: Data Mapping
+        score: 3
+        max: 3
+        passed: true
+        comment: 15 students left, 12 courses right; all nodes and edges present
+      - id: SC-04
+        name: Title & Legend
+        score: 3
+        max: 3
+        passed: true
+        comment: Full title with spec-id and anyplot.ai; color-coded headers as legend
+    data_quality:
+      score: 15
+      max: 15
+      items:
+      - id: DQ-01
+        name: Feature Coverage
+        score: 6
+        max: 6
+        passed: true
+        comment: Bipartite structure, degree variation, set membership, edge density
+          patterns all shown
+      - id: DQ-02
+        name: Realistic Context
+        score: 5
+        max: 5
+        passed: true
+        comment: 'Student-course enrollment: neutral, real-world, diverse names, realistic
+          course codes'
+      - id: DQ-03
+        name: Appropriate Scale
+        score: 4
+        max: 4
+        passed: true
+        comment: 15 students, 12 courses within spec bounds; 2-5 courses per student
+          realistic
+    code_quality:
+      score: 10
+      max: 10
+      items:
+      - id: CQ-01
+        name: KISS Structure
+        score: 3
+        max: 3
+        passed: true
+        comment: Flat script, no functions or classes
+      - id: CQ-02
+        name: Reproducibility
+        score: 2
+        max: 2
+        passed: true
+        comment: np.random.seed(42)
+      - id: CQ-03
+        name: Clean Imports
+        score: 2
+        max: 2
+        passed: true
+        comment: All imports used
+      - id: CQ-04
+        name: Code Elegance
+        score: 2
+        max: 2
+        passed: true
+        comment: Appropriate complexity, no fake UI
+      - id: CQ-05
+        name: Output & API
+        score: 1
+        max: 1
+        passed: true
+        comment: plot-{THEME}.html + plot-{THEME}.png via Selenium
+    library_mastery:
+      score: 6
+      max: 10
+      items:
+      - id: LM-01
+        name: Idiomatic Usage
+        score: 4
+        max: 5
+        passed: true
+        comment: Correct figure/scatter/segment/text; Selenium screenshot; no ColumnDataSource
+          used
+      - id: LM-02
+        name: Distinctive Features
+        score: 2
+        max: 5
+        passed: false
+        comment: HTML generated but no HoverTool or TapTool — Bokeh interactivity
+          not leveraged
+  verdict: APPROVED
+impl_tags:
+  dependencies:
+  - selenium
+  techniques:
+  - html-export
+  patterns:
+  - data-generation
+  - iteration-over-groups
+  dataprep:
+  - normalization
+  styling:
+  - alpha-blending
+  - minimal-chrome