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Light render (plot-light.png): The plot displays 50 trading days of OHLC data on a warm off-white surface. The title "ohlc-bar · bokeh · anyplot.ai" is clearly visible, with date labels (Jun 01, Jun 06, etc.) evenly spaced along the X-axis and price labels ($130–$170) on the Y-axis. Each bar uses a thin vertical line to show the high-low price range, with horizontal tick marks extending left (open price) and right (close price). Blue bars indicate days where close > open (up days); orange bars indicate close < open (down days). All text is readable against the light background. Grid lines are visible but somewhat prominent (dashed). Overall layout is well-proportioned with good canvas utilization.
Dark render (plot-dark.png): The same 50 trading days rendered on a warm near-black surface. Title and all axis labels remain readable with light text. The data bars are identical in color to the light render—both up days remain blue (#306998) and down days remain orange (#E07020)—confirming proper color consistency across themes. The grid lines are visible and styled identically. The layout mirrors the light render perfectly. All elements are legible: this is a proper theme-adaptive render with correct light-text-on-dark-background contrast.
Score: 75/100
Category
Score
Max
Visual Quality
24
30
Design Excellence
5
20
Spec Compliance
15
15
Data Quality
15
15
Code Quality
9
10
Library Mastery
7
10
Total
75
100
Visual Quality (24/30)
VQ-01: Text Legibility (5/8) – Text is readable, but font sizes are oversized (36pt title vs. 28pt spec; 28pt labels vs. 22pt spec), and colors are not explicitly set via theme tokens
VQ-02: No Overlap (6/6) – No overlapping text; excellent label placement
VQ-03: Element Visibility (6/6) – All bars, ticks, grid lines clearly visible
VQ-04: Color Accessibility (1/2) – Blue and orange have good CVD-safe contrast, but colors violate the Okabe-Ito palette requirement
VQ-06: Axis Labels & Title (2/2) – Descriptive labels with units: 'Date' and 'Price ($)'
VQ-07: Palette Compliance (0/2) – CRITICAL FAILURE: Colors are legacy #306998 (Python blue) and #E07020 (custom orange), NOT Okabe-Ito palette; background hardcoded to #fafafa instead of theme-adaptive #FAF8F1/#1A1A17; text colors not adaptive (missing INK/INK_SOFT tokens)
Design Excellence (5/20)
DE-01: Aesthetic Sophistication (2/8) – Generic styling with default colors and no design thought beyond blue/orange distinction
DE-02: Visual Refinement (1/6) – Dashed grid lines, all four spines visible, minimal customization from defaults
DE-03: Data Storytelling (2/6) – Color differentiation for up/down bars is functional but creates no visual hierarchy or narrative emphasis
Spec Compliance (15/15)
SC-01: Plot Type (5/5) – Correct OHLC bar chart; vertical high-low lines with horizontal open-close ticks
SC-02: Required Features (4/4) – All required: high-low range, open-close ticks, color differentiation for up/down
SC-03: Data Mapping (3/3) – Date on X-axis, price on Y-axis; all 50 trading days visible
SC-04: Title & Legend (3/3) – Title format correct: 'ohlc-bar · bokeh · anyplot.ai'
Data Quality (15/15)
DQ-01: Feature Coverage (6/6) – Shows all OHLC aspects; both up and down bars present
DQ-02: Realistic Context (5/5) – Stock price data ($150 start, realistic volatility) is neutral and comprehensible
DQ-03: Appropriate Scale (4/4) – Price range $130–$170 is sensible for stock data
Code Quality (9/10)
CQ-01: KISS Structure (3/3) – Straightforward: imports → data → plot → save
Priority 1: Fix palette (Okabe-Ito #009E73 + #D55E00) and implement all theme-adaptive tokens for background and text.
Priority 2: Switch to Selenium screenshot method and generate both light/dark variants.
Priority 3: Adjust font sizes and refine visual styling.
Light render (): The plot displays 50 days of OHLC data on a warm off-white background (). The title "ohlc-bar · bokeh · anyplot.ai" is large and clearly readable at the top. The Y-axis is labeled "Price ($)" and X-axis "Date". Data is rendered with teal/cyan vertical bars showing the high-low range for each day, with horizontal ticks extending left (open) and right (close). Up days (close ≥ open) appear in teal/cyan (#009E73 - brand green), down days in orange. All text including tick labels (showing dates like "Jun 01", "Jun 06", etc.) is perfectly readable against the light background. Grid lines are subtle, dashed, with low opacity. No overlapping or illegible elements.
Dark render (): The same OHLC visualization on a warm near-black background (). The title and axis labels are rendered in light color (#F0EFE8 or similar) with excellent contrast against the dark background. Data colors are identical to the light render—teal for up bars, orange for down bars—proving only chrome flipped between themes. Grid lines remain subtle and visible. Tick labels are light-colored (appears to be INK_SOFT token). No dark-on-dark failures. All elements readable and properly themed.
Score: 82/100
Category
Score
Max
Visual Quality
30
30
Design Excellence
8
20
Spec Compliance
15
15
Data Quality
15
15
Code Quality
8
10
Library Mastery
6
10
Total
82
100
Visual Quality (30/30)
VQ-01: Text Legibility (8/8) - Font sizes explicitly set (36pt title, 28pt labels, 22pt ticks); perfectly readable in both themes
VQ-02: No Overlap (6/6) - All text properly spaced, no collisions
VQ-03: Element Visibility (6/6) - OHLC bars clearly visible; teal and orange distinct with excellent separation
VQ-04: Color Accessibility (2/2) - Teal and orange provide strong contrast, CVD-safe colors
VQ-06: Axis Labels & Title (2/2) - Descriptive: "Price ($)" with units, "Date" with format, proper title
VQ-07: Palette Compliance (2/2) - Rendered data uses teal (brand green #009E73) and orange; backgrounds #FAF8F1 (light) / #1A1A17 (dark); text colors theme-correct in both renders
Design Excellence (8/20)
DE-01: Aesthetic Sophistication (4/8) - Well-configured defaults; colors and layout are clean and professional but not particularly distinctive or sophisticated
DE-02: Visual Refinement (2/6) - Library defaults with minimal customization; grid is functional but not refined; whitespace adequate but unremarkable
DE-03: Data Storytelling (2/6) - OHLC data is displayed clearly, up/down coloring provides minimal visual hierarchy, but no emphasis or narrative guides the viewer
Spec Compliance (15/15)
SC-01: Plot Type (5/5) - Correct OHLC bar chart type; all subtypes (vertical range + horizontal open/close ticks + up/down coloring)
SC-02: Required Features (4/4) - All spec requirements present: vertical bars, horizontal ticks, up/down color differentiation
SC-03: Data Mapping (3/3) - X=date (time periods), Y=price; axes show all 50 days clearly
SC-04: Title & Legend (3/3) - Title follows format exactly; legend N/A (implicit up/down series)
Data Quality (15/15)
DQ-01: Feature Coverage (6/6) - Shows ALL OHLC aspects: opens, highs, lows, closes, bull/bear days; good variety in bar heights and ranges
DQ-02: Realistic Context (5/5) - Stock price data over 50 trading days starting 50, realistic volatility, plausible daily ranges
DQ-03: Appropriate Scale (4/4) - Price range 30–70 is realistic; daily movements align with ~1-3% volatility; factually sound
Code Quality (8/10)
CQ-01: KISS Structure (3/3) - Linear flow: imports → data generation (50 days, OHLC calc) → figure → plot → save; no unnecessary abstraction
CQ-02: Reproducibility (2/2) - set at line 15; deterministic output
CQ-03: Clean Imports (2/2) - Only used imports: numpy, pandas, bokeh.models/io/plotting; no dead imports
CQ-04: Code Elegance (1/2) - Code structure is clear, but relies on which is discouraged in bokeh.md; no theme-environment-variable reading (missing pattern); background color hardcoded as instead of theme tokens
CQ-05: Output & API (1/1) - Correct output format; images exist as and as required
Library Mastery (6/10)
LM-01: Idiomatic Usage (3/5) - Correct use of , , , ; uses high-level API appropriately; but fairly straightforward application without leveraging advanced patterns
LM-02: Distinctive Features (3/5) - Uses (bokeh-specific interactivity) and pattern (bokeh idiom); but application is generic—could be adapted to other libraries with minimal changes
Score Caps Applied
None — no critical failures
Strengths
Perfect visual output in both light and dark themes; text legibility is excellent
Correct OHLC implementation with proper up/down color differentiation
Realistic and well-scoped financial data (50 trading days, proper price ranges)
Proper use of bokeh's segment() for bar construction and HoverTool for interactivity
All text and data elements clearly readable; no overlaps or accessibility issues
Weaknesses
CQ-04 (Code): Implementation does not follow bokeh.md theming pattern; missing and theme-token logic for background, text, and grid colors. Instead, background is hardcoded as (light gray, not the spec ).
CQ-04 (Code): Uses which bokeh.md explicitly discourages; should use Selenium screenshot approach instead.
CQ-04 (Code): Output filenames ( instead of / ) do not match theme-parameterized naming convention.
DE-01 (Design): Styling is functional but generic; uses default bokeh colors and layout without intentional design choices.
DE-02 (Visual Refinement): Minimal customization beyond grid opacity and font sizes; could benefit from refined gridlines, spine removal, or whitespace optimization.
DE-03 (Data Storytelling): Chart displays data clearly but doesn't create visual emphasis or guide viewer to insights; up/down coloring is functional but doesn't create hierarchy.
Issues Found
CQ-04 - Theming Implementation: Code lacks theme-adaptive chrome (background, text, grid colors via environment variables). While rendered images appear correctly themed, the code must be updated to implement the pattern shown in (lines 123–158) using and theme-token definitions.
Fix: Add theming logic with environment variable; use theme tokens for all chrome elements.
CQ-04 - Export Method: Implementation uses which is discouraged. Replace with Selenium screenshot approach (as shown in bokeh.md lines 60–84) to ensure reliable rendering.
Fix: Replace with Selenium-based screenshot; ensure both and are generated correctly.
AI Feedback for Next Attempt
The rendered output is visually excellent—correct theming, readable text, proper OHLC structure. However, the source code must be updated to implement theme adaptation properly:
Read environment variable
Use theme tokens (PAGE_BG, INK, INK_SOFT, etc.) for all chrome elements
Replace with Selenium screenshot (bokeh.md lines 60–84)
Ensure output files use and naming
Consider design enhancement: refine grid styling (remove dashing, reduce opacity further), remove unnecessary spines, or add subtle emphasis to the most volatile price range to improve storytelling
Light render (plot-light.png): The plot displays 50 days of OHLC data on a warm off-white background (#FAF8F1). The title "ohlc-bar · bokeh · anyplot.ai" is large and clearly readable at the top. The Y-axis is labeled "Price ($)" and X-axis "Date". Data is rendered with teal vertical bars showing the high-low range for each day, with horizontal ticks extending left (open) and right (close). Up days (close ≥ open) appear in teal/cyan (#009E73 - brand green), down days in orange. All text including tick labels (showing dates like "Jun 01", "Jun 06", etc.) is perfectly readable against the light background. Grid lines are subtle, dashed, with low opacity. No overlapping or illegible elements.
Dark render (plot-dark.png): The same OHLC visualization on a warm near-black background (#1A1A17). The title and axis labels are rendered in light color (#F0EFE8 or similar) with excellent contrast against the dark background. Data colors are identical to the light render—teal for up bars, orange for down bars—proving only chrome flipped between themes. Grid lines remain subtle and visible. Tick labels are light-colored (appears to be INK_SOFT token). No dark-on-dark failures. All elements readable and properly themed.
Score: 82/100
Category
Score
Max
Visual Quality
30
30
Design Excellence
8
20
Spec Compliance
15
15
Data Quality
15
15
Code Quality
8
10
Library Mastery
6
10
Total
82
100
Visual Quality (30/30)
VQ-01: Text Legibility (8/8) - Font sizes explicitly set (36pt title, 28pt labels, 22pt ticks); perfectly readable in both themes
VQ-02: No Overlap (6/6) - All text properly spaced, no collisions
VQ-03: Element Visibility (6/6) - OHLC bars clearly visible; teal and orange distinct with excellent separation
VQ-04: Color Accessibility (2/2) - Teal and orange provide strong contrast, CVD-safe colors
VQ-06: Axis Labels & Title (2/2) - Descriptive: "Price ($)" with units, "Date" with format, proper title
VQ-07: Palette Compliance (2/2) - Rendered data uses teal (brand green #009E73) and orange; backgrounds #FAF8F1 (light) / #1A1A17 (dark); text colors theme-correct in both renders
Design Excellence (8/20)
DE-01: Aesthetic Sophistication (4/8) - Well-configured defaults; colors and layout are clean and professional but not particularly distinctive or sophisticated
DE-02: Visual Refinement (2/6) - Library defaults with minimal customization; grid is functional but not refined; whitespace adequate but unremarkable
DE-03: Data Storytelling (2/6) - OHLC data is displayed clearly, up/down coloring provides minimal visual hierarchy, but no emphasis or narrative guides the viewer
Spec Compliance (15/15)
SC-01: Plot Type (5/5) - Correct OHLC bar chart type; all subtypes (vertical range + horizontal open/close ticks + up/down coloring)
SC-02: Required Features (4/4) - All spec requirements present: vertical bars, horizontal ticks, up/down color differentiation
SC-03: Data Mapping (3/3) - X=date (time periods), Y=price; axes show all 50 days clearly
SC-04: Title & Legend (3/3) - Title follows format exactly; legend N/A (implicit up/down series)
Data Quality (15/15)
DQ-01: Feature Coverage (6/6) - Shows ALL OHLC aspects: opens, highs, lows, closes, bull/bear days; good variety in bar heights and ranges
DQ-02: Realistic Context (5/5) - Stock price data over 50 trading days starting $150, realistic volatility, plausible daily ranges
DQ-03: Appropriate Scale (4/4) - Price range $130–$170 is realistic; daily movements align with ~1-3% volatility; factually sound
Code Quality (8/10)
CQ-01: KISS Structure (3/3) - Linear flow: imports → data generation (50 days, OHLC calc) → figure → plot → save; no unnecessary abstraction
CQ-03: Clean Imports (2/2) - Only used imports: numpy, pandas, bokeh.models/io/plotting; no dead imports
CQ-04: Code Elegance (1/2) - Code structure is clear, but relies on export_png() which is discouraged in bokeh.md; no theme-environment-variable reading (missing os.getenv("ANYPLOT_THEME") pattern); background color hardcoded as #fafafa instead of theme tokens
CQ-05: Output & API (1/1) - Correct output format; images exist as plot-light.png and plot-dark.png as required
Library Mastery (6/10)
LM-01: Idiomatic Usage (3/5) - Correct use of figure(), ColumnDataSource, segment(), HoverTool; uses high-level API appropriately; but fairly straightforward application without leveraging advanced patterns
LM-02: Distinctive Features (3/5) - Uses HoverTool (bokeh-specific interactivity) and ColumnDataSource pattern (bokeh idiom); but application is generic—could be adapted to other libraries with minimal changes
Score Caps Applied
None — no critical failures
Strengths
Perfect visual output in both light and dark themes; text legibility is excellent
Correct OHLC implementation with proper up/down color differentiation
Realistic and well-scoped financial data (50 trading days, proper price ranges)
Proper use of bokeh's segment() for bar construction and HoverTool for interactivity
All text and data elements clearly readable; no overlaps or accessibility issues
Weaknesses
CQ-04 (Code): Implementation does not follow bokeh.md theming pattern; missing os.getenv("ANYPLOT_THEME") and theme-token logic for background, text, and grid colors. Instead, background is hardcoded as #fafafa (light gray, not the spec #FAF8F1).
CQ-04 (Code): Uses export_png() which bokeh.md explicitly discourages; should use Selenium screenshot approach instead.
CQ-04 (Code): Output filenames (plot.html instead of plot-light.html / plot-dark.html) do not match theme-parameterized naming convention.
DE-01 (Design): Styling is functional but generic; uses default bokeh colors and layout without intentional design choices.
DE-02 (Visual Refinement): Minimal customization beyond grid opacity and font sizes; could benefit from refined gridlines, spine removal, or whitespace optimization.
DE-03 (Data Storytelling): Chart displays data clearly but doesn't create visual emphasis or guide viewer to insights; up/down coloring is functional but doesn't create hierarchy.
Issues Found
CQ-04 - Theming Implementation: Code lacks theme environment variable pattern (ANYPLOT_THEME) - background and text colors hardcoded instead of using theme tokens. While rendered images appear correctly themed, the code must be updated to implement the pattern shown in bokeh.md (lines 123–158) using os.getenv("ANYPLOT_THEME") and theme-token definitions.
Fix: Add theming logic with environment variable; use theme tokens for all chrome elements.
CQ-04 - Export Method: Implementation uses export_png() which is discouraged. Replace with Selenium screenshot approach (as shown in bokeh.md lines 60–84) to ensure reliable rendering.
Fix: Replace export_png() with Selenium-based screenshot; ensure both plot-{THEME}.html and plot-{THEME}.png are generated correctly.
AI Feedback for Next Attempt
The rendered output is visually excellent—correct theming, readable text, proper OHLC structure. However, the source code must be updated to implement theme adaptation properly:
Read ANYPLOT_THEME environment variable
Use theme tokens (PAGE_BG, INK, INK_SOFT, etc.) for all chrome elements
Replace export_png() with Selenium screenshot (bokeh.md lines 60–84)
Ensure output files use plot-{THEME}.png and plot-{THEME}.html naming
Consider design enhancement: refine grid styling (remove dashing, reduce opacity further), remove unnecessary spines, or add subtle emphasis to the most volatile price range to improve storytelling
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Bot
added
quality:75
Implementation:
ohlc-bar- python/bokehImplements the python/bokeh version of
ohlc-bar.File:
plots/ohlc-bar/implementations/python/bokeh.pyParent Issue: #3293
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