originalankur/maptoposterPublic

Transform your favorite cities into beautiful, minimalist designs. MapToPoster lets you create and export visually striking map posters with code.

AI summary: A Python generator that transforms OpenStreetMap data into minimalist, stylized map posters of any global city.

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PythonMITCreated Jan 8, 2026Last push 1d ago+38 stars this week+44 this month

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Signals and awards

derived from tracked data
  • Widely adopted

    13,897 stars

  • Actively maintained

    Pushed within 48 hours

  • Permissive license

    MIT

  • Continuous integration

    Automated checks passing

  • Repeat trending

    4 trending appearances

What maptoposter does

City Map Poster Generator is a command-line utility that creates visually appealing, minimalist map posters for any city worldwide. It uses osmnx to fetch precise street networks and geographic data from OpenStreetMap, and matplotlib to render them beautifully. Users can select from various aesthetic themes like neon cyberpunk, blueprint, or terracotta to match their preferred design language. By providing custom coordinates or simply a city name, the tool completely automates the process of fetching, stylizing, and exporting high-resolution map artwork.

This generator is for designers, map enthusiasts, and Python developers looking to create unique geographic artwork. It requires Python and a package manager like uv or pip to handle dependencies.

  • Global City Coverage: Fetches detailed street data for virtually any city or region via OpenStreetMap integration.
  • Multiple Stylized Themes: Offers a variety of pre-configured aesthetics like midnight blue, japanese ink, and warm beige.
  • Custom Coordinate Support: Allows users to override center points with specific latitude and longitude coordinates for precise framing.
  • Automated Geocoding: Resolves city and country names to geographic coordinates without requiring manual mapping.
  • High-Resolution Output: Renders the final poster artwork into crisp, print-ready image files using matplotlib.
  • uv Environment Management: Supports modern Python dependency management via uv for isolated and reliable execution.

Where teams use it

Custom poster creation

Designers and individuals can generate minimalist wall art of their hometown or favorite travel destinations.

Geographic data visualization

Urban planners and cartography enthusiasts can create stylized visual representations of complex street networks.

Automated graphic design

Creators can batch-generate stylized maps for multiple cities to sell as digital prints or physical posters.

Thematic rendering

Artists can easily apply different color palettes, such as cyberpunk or blueprint, to map data without manual illustration.

Getting started: uv run ./create_map_poster.py --city "Paris" --country "France"

README

main branch

City Map Poster Generator

Generate beautiful, minimalist map posters for any city in the world.

Examples

Country City Theme Poster
USA San Francisco sunset
Spain Barcelona warm_beige
Italy Venice blueprint
Japan Tokyo japanese_ink
India Mumbai contrast_zones
Morocco Marrakech terracotta
Singapore Singapore neon_cyberpunk
Australia Melbourne forest
UAE Dubai midnight_blue
USA Seattle emerald

Installation

With uv (Recommended)

Make sure uv is installed. Running the script by prepending uv run automatically creates and manages a virtual environment.

# First run will automatically install dependencies
uv run ./create_map_poster.py --city "Paris" --country "France"

# Or sync dependencies explicitly first (using locked versions)
uv sync --locked
uv run ./create_map_poster.py --city "Paris" --country "France"

With pip + venv

python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
pip install -r requirements.txt

Usage

Generate Poster

If you're using uv:

uv run ./create_map_poster.py --city <city> --country <country> [options]

Otherwise (pip + venv):

python create_map_poster.py --city <city> --country <country> [options]

Required Options

Option Short Description
--city -c City name (used for geocoding)
--country -C Country name (used for geocoding)

Optional Flags

Option Short Description Default
OPTIONAL: --latitude -lat Override latitude center point (use with --longitude)
OPTIONAL: --longitude -long Override longitude center point (use with --latitude)
OPTIONAL: --country-label Override country text displayed on poster
OPTIONAL: --theme -t Theme name terracotta
OPTIONAL: --distance -d Map radius in meters 18000
OPTIONAL: --list-themes List all available themes
OPTIONAL: --all-themes Generate posters for all available themes
OPTIONAL: --width -W Image width in inches 12 (max: 20)
OPTIONAL: --height -H Image height in inches 16 (max: 20)

Multilingual Support - i18n

Display city and country names in your language with custom fonts from google fonts:

Option Short Description
--display-city -dc Custom display name for city (e.g., "東京")
--display-country -dC Custom display name for country (e.g., "日本")
--font-family Google Fonts family name (e.g., "Noto Sans JP")

Examples:

# Japanese
python create_map_poster.py -c "Tokyo" -C "Japan" -dc "東京" -dC "日本" --font-family "Noto Sans JP"

# Korean
python create_map_poster.py -c "Seoul" -C "South Korea" -dc "서울" -dC "대한민국" --font-family "Noto Sans KR"

# Arabic
python create_map_poster.py -c "Dubai" -C "UAE" -dc "دبي" -dC "الإمارات" --font-family "Cairo"

Note: Fonts are automatically downloaded from Google Fonts and cached locally in fonts/cache/.

Resolution Guide (300 DPI)

Use these values for -W and -H to target specific resolutions:

Target Resolution (px) Inches (-W / -H)
Instagram Post 1080 x 1080 3.6 x 3.6
Mobile Wallpaper 1080 x 1920 3.6 x 6.4
HD Wallpaper 1920 x 1080 6.4 x 3.6
4K Wallpaper 3840 x 2160 12.8 x 7.2
A4 Print 2480 x 3508 8.3 x 11.7

Usage Examples

Basic Examples

# Simple usage with default theme
python create_map_poster.py -c "Paris" -C "France"

# With custom theme and distance
python create_map_poster.py -c "New York" -C "USA" -t noir -d 12000

Multilingual Examples (Non-Latin Scripts)

Display city names in their native scripts:

# Japanese
python create_map_poster.py -c "Tokyo" -C "Japan" -dc "東京" -dC "日本" --font-family "Noto Sans JP" -t japanese_ink

# Korean
python create_map_poster.py -c "Seoul" -C "South Korea" -dc "서울" -dC "대한민국" --font-family "Noto Sans KR" -t midnight_blue

# Thai
python create_map_poster.py -c "Bangkok" -C "Thailand" -dc "กรุงเทพมหานคร" -dC "ประเทศไทย" --font-family "Noto Sans Thai" -t sunset

# Arabic
python create_map_poster.py -c "Dubai" -C "UAE" -dc "دبي" -dC "الإمارات" --font-family "Cairo" -t terracotta

# Chinese (Simplified)
python create_map_poster.py -c "Beijing" -C "China" -dc "北京" -dC "中国" --font-family "Noto Sans SC"

# Khmer
python create_map_poster.py -c "Phnom Penh" -C "Cambodia" -dc "ភ្នំពេញ" -dC "កម្ពុជា" --font-family "Noto Sans Khmer"

Advanced Examples

# Iconic grid patterns
python create_map_poster.py -c "New York" -C "USA" -t noir -d 12000           # Manhattan grid
python create_map_poster.py -c "Barcelona" -C "Spain" -t warm_beige -d 8000   # Eixample district

# Waterfront & canals
python create_map_poster.py -c "Venice" -C "Italy" -t blueprint -d 4000       # Canal network
python create_map_poster.py -c "Amsterdam" -C "Netherlands" -t ocean -d 6000  # Concentric canals
python create_map_poster.py -c "Dubai" -C "UAE" -t midnight_blue -d 15000     # Palm & coastline

# Radial patterns
python create_map_poster.py -c "Paris" -C "France" -t pastel_dream -d 10000   # Haussmann boulevards
python create_map_poster.py -c "Moscow" -C "Russia" -t noir -d 12000          # Ring roads

# Organic old cities
python create_map_poster.py -c "Tokyo" -C "Japan" -t japanese_ink -d 15000    # Dense organic streets
python create_map_poster.py -c "Marrakech" -C "Morocco" -t terracotta -d 5000 # Medina maze
python create_map_poster.py -c "Rome" -C "Italy" -t warm_beige -d 8000        # Ancient layout

# Coastal cities
python create_map_poster.py -c "San Francisco" -C "USA" -t sunset -d 10000    # Peninsula grid
python create_map_poster.py -c "Sydney" -C "Australia" -t ocean -d 12000      # Harbor city
python create_map_poster.py -c "Mumbai" -C "India" -t contrast_zones -d 18000 # Coastal peninsula

# River cities
python create_map_poster.py -c "London" -C "UK" -t noir -d 15000              # Thames curves
python create_map_poster.py -c "Budapest" -C "Hungary" -t copper_patina -d 8000  # Danube split

# Override center coordinates
python create_map_poster.py --city "New York" --country "USA" -lat 40.776676 -long -73.971321 -t noir

# List available themes
python create_map_poster.py --list-themes

# Generate posters for every theme
python create_map_poster.py -c "Tokyo" -C "Japan" --all-themes

Distance Guide

Distance Best for
4000-6000m Small/dense cities (Venice, Amsterdam center)
8000-12000m Medium cities, focused downtown (Paris, Barcelona)
15000-20000m Large metros, full city view (Tokyo, Mumbai)

Themes

17 themes available in themes/ directory:

Theme Style
gradient_roads Smooth gradient shading
contrast_zones High contrast urban density
noir Pure black background, white roads
midnight_blue Navy background with gold roads
blueprint Architectural blueprint aesthetic
neon_cyberpunk Dark with electric pink/cyan
warm_beige Vintage sepia tones
pastel_dream Soft muted pastels
japanese_ink Minimalist ink wash style
emerald Lush dark green aesthetic
forest Deep greens and sage
ocean Blues and teals for coastal cities
terracotta Mediterranean warmth
sunset Warm oranges and pinks
autumn Seasonal burnt oranges and reds
copper_patina Oxidized copper aesthetic
monochrome_blue Single blue color family

Output

Posters are saved to posters/ directory with format:

{city}_{theme}_{YYYYMMDD_HHMMSS}.png

Adding Custom Themes

Create a JSON file in themes/ directory:

{
  "name": "My Theme",
  "description": "Description of the theme",
  "bg": "#FFFFFF",
  "text": "#000000",
  "gradient_color": "#FFFFFF",
  "water": "#C0C0C0",
  "parks": "#F0F0F0",
  "road_motorway": "#0A0A0A",
  "road_primary": "#1A1A1A",
  "road_secondary": "#2A2A2A",
  "road_tertiary": "#3A3A3A",
  "road_residential": "#4A4A4A",
  "road_default": "#3A3A3A"
}

Project Structure

map_poster/
├── create_map_poster.py    # Main script
├── font_management.py      # Font loading and Google Fonts integration
├── themes/                 # Theme JSON files
├── fonts/                  # Font files
│   ├── Roboto-*.ttf        # Default Roboto fonts
│   └── cache/              # Downloaded Google Fonts (auto-generated)
├── posters/                # Generated posters
└── README.md

Hacker's Guide

Quick reference for contributors who want to extend or modify the script.

Contributors Guide

  • Bug fixes are welcomed
  • Don't submit user interface (web/desktop)
  • Don't Dockerize for now
  • If you vibe code any fix please test it and see before and after version of poster
  • Before embarking on a big feature please ask in Discussions/Issue if it will be merged

Architecture Overview

┌─────────────────┐     ┌──────────────┐     ┌─────────────────┐
│   CLI Parser    │────▶│  Geocoding   │────▶│  Data Fetching  │
│   (argparse)    │     │  (Nominatim) │     │    (OSMnx)      │
└─────────────────┘     └──────────────┘     └─────────────────┘
                                                     │
                        ┌──────────────┐             ▼
                        │    Output    │◀────┌─────────────────┐
                        │  (matplotlib)│     │   Rendering     │
                        └──────────────┘     │  (matplotlib)   │
                                             └─────────────────┘

Key Functions

Function Purpose Modify when...
get_coordinates() City → lat/lon via Nominatim Switching geocoding provider
create_poster() Main rendering pipeline Adding new map layers
get_edge_colors_by_type() Road color by OSM highway tag Changing road styling
get_edge_widths_by_type() Road width by importance Adjusting line weights
create_gradient_fade() Top/bottom fade effect Modifying gradient overlay
load_theme() JSON theme → dict Adding new theme properties
is_latin_script() Detects script for typography Supporting new scripts
load_fonts() Load custom/default fonts Changing font loading logic

Rendering Layers (z-order)

z=11  Text labels (city, country, coords)
z=10  Gradient fades (top & bottom)
z=3   Roads (via ox.plot_graph)
z=2   Parks (green polygons)
z=1   Water (blue polygons)
z=0   Background color

OSM Highway Types → Road Hierarchy

# In get_edge_colors_by_type() and get_edge_widths_by_type()
motorway, motorway_linkThickest (1.2), darkest
trunk, primaryThick (1.0)
secondaryMedium (0.8)
tertiaryThin (0.6)
residential, living_streetThinnest (0.4), lightest

Typography & Script Detection

The script automatically detects text scripts to apply appropriate typography:

  • Latin scripts (English, French, Spanish, etc.): Letter spacing applied for elegant "P A R I S" effect
  • Non-Latin scripts (Japanese, Arabic, Thai, Korean, etc.): Natural spacing for "東京" (no gaps between characters)

Script detection uses Unicode ranges (U+0000-U+024F for Latin). If >80% of alphabetic characters are Latin, spacing is applied.

Adding New Features

New map layer (e.g., railways):

# In create_poster(), after parks fetch:
try:
    railways = ox.features_from_point(point, tags={'railway': 'rail'}, dist=dist)
except:
    railways = None

# Then plot before roads:
if railways is not None and not railways.empty:
    railways = railways.to_crs(g_proj.graph["crs"])
    railways.plot(ax=ax, color=THEME['railway'], linewidth=0.5, zorder=2.5)

New theme property:

  1. Add to theme JSON: "railway": "#FF0000"
  2. Use in code: THEME['railway']
  3. Add fallback in load_theme() default dict

Typography Positioning

All text uses transform=ax.transAxes (0-1 normalized coordinates):

y=0.14  City name (spaced letters for Latin scripts)
y=0.125 Decorative line
y=0.10  Country name
y=0.07  Coordinates
y=0.02  Attribution (bottom-right)

Useful OSMnx Patterns

# Get all buildings
buildings = ox.features_from_point(point, tags={'building': True}, dist=dist)

# Get specific amenities
cafes = ox.features_from_point(point, tags={'amenity': 'cafe'}, dist=dist)

# Different network types
G = ox.graph_from_point(point, dist=dist, network_type='drive')  # roads only
G = ox.graph_from_point(point, dist=dist, network_type='bike')   # bike paths
G = ox.graph_from_point(point, dist=dist, network_type='walk')   # pedestrian

Performance Tips

  • Large dist values (>20km) = slow downloads + memory heavy
  • Cache coordinates locally to avoid Nominatim rate limits
  • Use network_type='drive' instead of 'all' for faster renders
  • Reduce dpi from 300 to 150 for quick previews
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Recent activity

commits and pull requests

Recent open issues

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Discussions

all 17

Code frequency

additions and deletions
+2.7K-2.7KWeek of 2026-01-04: +1,036 linesWeek of 2026-01-04: -6 linesWeek of 2026-01-11: +71 linesWeek of 2026-01-11: -13 linesWeek of 2026-01-18: +498 linesWeek of 2026-01-18: -264 linesWeek of 2026-01-25: +2,650 linesWeek of 2026-01-25: -481 linesWeek of 2026-02-01: +0 linesWeek of 2026-02-01: -0 linesWeek of 2026-02-08: +0 linesWeek of 2026-02-08: -0 linesWeek of 2026-02-15: +0 linesWeek of 2026-02-15: -0 linesWeek of 2026-02-22: +0 linesWeek of 2026-02-22: -0 linesWeek of 2026-03-01: +1 linesWeek of 2026-03-01: -0 linesWeek of 2026-03-08: +0 linesWeek of 2026-03-08: -0 linesWeek of 2026-03-15: +0 linesWeek of 2026-03-15: -0 linesWeek of 2026-03-22: +0 linesWeek of 2026-03-22: -0 linesWeek of 2026-03-29: +0 linesWeek of 2026-03-29: -0 linesWeek of 2026-04-05: +0 linesWeek of 2026-04-05: -0 linesWeek of 2026-04-12: +0 linesWeek of 2026-04-12: -0 linesWeek of 2026-04-19: +0 linesWeek of 2026-04-19: -0 linesWeek of 2026-04-26: +0 linesWeek of 2026-04-26: -0 linesWeek of 2026-05-03: +0 linesWeek of 2026-05-03: -0 linesWeek of 2026-05-10: +0 linesWeek of 2026-05-10: -0 linesWeek of 2026-05-17: +0 linesWeek of 2026-05-17: -0 linesWeek of 2026-05-24: +0 linesWeek of 2026-05-24: -0 linesWeek of 2026-05-31: +0 linesWeek of 2026-05-31: -0 linesWeek of 2026-06-07: +0 linesWeek of 2026-06-07: -0 linesWeek of 2026-06-14: +0 linesWeek of 2026-06-14: -0 linesWeek of 2026-06-21: +0 linesWeek of 2026-06-21: -0 linesWeek of 2026-06-28: +0 linesWeek of 2026-06-28: -0 linesWeek of 2026-07-05: +0 linesWeek of 2026-07-05: -0 linesWeek of 2026-07-12: +0 linesWeek of 2026-07-12: -0 linesWeek of 2026-07-19: +0 linesWeek of 2026-07-19: -0 linesWeek of 2026-07-26: +0 linesWeek of 2026-07-26: -0 linesWeek of 2026-08-02: +0 linesWeek of 2026-08-02: -0 linesJan 4, 2026Aug 2, 2026
+4.3K lines added, -764 removed over the last year.

Commits per week

last 52 weeks
220Week of 2025-08-02: 0 commitsWeek of 2025-08-09: 0 commitsWeek of 2025-08-16: 0 commitsWeek of 2025-08-23: 0 commitsWeek of 2025-08-30: 0 commitsWeek of 2025-09-06: 0 commitsWeek of 2025-09-13: 0 commitsWeek of 2025-09-20: 0 commitsWeek of 2025-09-27: 0 commitsWeek of 2025-10-04: 0 commitsWeek of 2025-10-11: 0 commitsWeek of 2025-10-18: 0 commitsWeek of 2025-10-25: 0 commitsWeek of 2025-11-01: 0 commitsWeek of 2025-11-09: 0 commitsWeek of 2025-11-16: 0 commitsWeek of 2025-11-23: 0 commitsWeek of 2025-11-30: 0 commitsWeek of 2025-12-07: 0 commitsWeek of 2025-12-14: 0 commitsWeek of 2025-12-21: 0 commitsWeek of 2025-12-28: 0 commitsWeek of 2026-01-04: 4 commitsWeek of 2026-01-11: 3 commitsWeek of 2026-01-18: 22 commitsWeek of 2026-01-25: 15 commitsWeek of 2026-02-01: 0 commitsWeek of 2026-02-08: 0 commitsWeek of 2026-02-15: 0 commitsWeek of 2026-02-22: 0 commitsWeek of 2026-03-01: 1 commitsWeek of 2026-03-08: 0 commitsWeek of 2026-03-15: 0 commitsWeek of 2026-03-22: 0 commitsWeek of 2026-03-29: 0 commitsWeek of 2026-04-05: 0 commitsWeek of 2026-04-12: 0 commitsWeek of 2026-04-19: 0 commitsWeek of 2026-04-26: 0 commitsWeek of 2026-05-03: 0 commitsWeek of 2026-05-10: 0 commitsWeek of 2026-05-17: 0 commitsWeek of 2026-05-24: 0 commitsWeek of 2026-05-31: 0 commitsWeek of 2026-06-07: 0 commitsWeek of 2026-06-14: 0 commitsWeek of 2026-06-21: 0 commitsWeek of 2026-06-28: 0 commitsWeek of 2026-07-05: 0 commitsWeek of 2026-07-12: 0 commitsWeek of 2026-07-19: 0 commitsWeek of 2026-07-26: 0 commitsAug 2, 2025Jul 26, 2026
45 commits in the last 52 weeks.

When work happens

weekday and hour
SunMonTueWedThuFriSat036912151821Sun 0:00 — 0 commitsSun 1:00 — 0 commitsSun 2:00 — 0 commitsSun 3:00 — 0 commitsSun 4:00 — 1 commitsSun 5:00 — 0 commitsSun 6:00 — 0 commitsSun 7:00 — 0 commitsSun 8:00 — 0 commitsSun 9:00 — 0 commitsSun 10:00 — 0 commitsSun 11:00 — 0 commitsSun 12:00 — 0 commitsSun 13:00 — 5 commitsSun 14:00 — 2 commitsSun 15:00 — 2 commitsSun 16:00 — 0 commitsSun 17:00 — 0 commitsSun 18:00 — 0 commitsSun 19:00 — 0 commitsSun 20:00 — 0 commitsSun 21:00 — 0 commitsSun 22:00 — 0 commitsSun 23:00 — 0 commitsMon 0:00 — 0 commitsMon 1:00 — 0 commitsMon 2:00 — 0 commitsMon 3:00 — 0 commitsMon 4:00 — 0 commitsMon 5:00 — 0 commitsMon 6:00 — 0 commitsMon 7:00 — 0 commitsMon 8:00 — 0 commitsMon 9:00 — 0 commitsMon 10:00 — 2 commitsMon 11:00 — 1 commitsMon 12:00 — 0 commitsMon 13:00 — 0 commitsMon 14:00 — 1 commitsMon 15:00 — 3 commitsMon 16:00 — 0 commitsMon 17:00 — 0 commitsMon 18:00 — 0 commitsMon 19:00 — 0 commitsMon 20:00 — 0 commitsMon 21:00 — 0 commitsMon 22:00 — 0 commitsMon 23:00 — 3 commitsTue 0:00 — 0 commitsTue 1:00 — 0 commitsTue 2:00 — 0 commitsTue 3:00 — 1 commitsTue 4:00 — 0 commitsTue 5:00 — 0 commitsTue 6:00 — 0 commitsTue 7:00 — 0 commitsTue 8:00 — 0 commitsTue 9:00 — 1 commitsTue 10:00 — 0 commitsTue 11:00 — 0 commitsTue 12:00 — 2 commitsTue 13:00 — 1 commitsTue 14:00 — 0 commitsTue 15:00 — 1 commitsTue 16:00 — 1 commitsTue 17:00 — 0 commitsTue 18:00 — 2 commitsTue 19:00 — 0 commitsTue 20:00 — 0 commitsTue 21:00 — 0 commitsTue 22:00 — 0 commitsTue 23:00 — 1 commitsWed 0:00 — 0 commitsWed 1:00 — 0 commitsWed 2:00 — 0 commitsWed 3:00 — 0 commitsWed 4:00 — 0 commitsWed 5:00 — 0 commitsWed 6:00 — 0 commitsWed 7:00 — 0 commitsWed 8:00 — 0 commitsWed 9:00 — 0 commitsWed 10:00 — 0 commitsWed 11:00 — 0 commitsWed 12:00 — 0 commitsWed 13:00 — 0 commitsWed 14:00 — 0 commitsWed 15:00 — 0 commitsWed 16:00 — 0 commitsWed 17:00 — 0 commitsWed 18:00 — 1 commitsWed 19:00 — 0 commitsWed 20:00 — 0 commitsWed 21:00 — 0 commitsWed 22:00 — 0 commitsWed 23:00 — 0 commitsThu 0:00 — 0 commitsThu 1:00 — 0 commitsThu 2:00 — 0 commitsThu 3:00 — 1 commitsThu 4:00 — 0 commitsThu 5:00 — 0 commitsThu 6:00 — 0 commitsThu 7:00 — 0 commitsThu 8:00 — 0 commitsThu 9:00 — 0 commitsThu 10:00 — 0 commitsThu 11:00 — 0 commitsThu 12:00 — 0 commitsThu 13:00 — 0 commitsThu 14:00 — 0 commitsThu 15:00 — 0 commitsThu 16:00 — 1 commitsThu 17:00 — 2 commitsThu 18:00 — 1 commitsThu 19:00 — 2 commitsThu 20:00 — 0 commitsThu 21:00 — 0 commitsThu 22:00 — 0 commitsThu 23:00 — 0 commitsFri 0:00 — 0 commitsFri 1:00 — 0 commitsFri 2:00 — 1 commitsFri 3:00 — 0 commitsFri 4:00 — 0 commitsFri 5:00 — 0 commitsFri 6:00 — 0 commitsFri 7:00 — 0 commitsFri 8:00 — 1 commitsFri 9:00 — 0 commitsFri 10:00 — 0 commitsFri 11:00 — 0 commitsFri 12:00 — 0 commitsFri 13:00 — 0 commitsFri 14:00 — 0 commitsFri 15:00 — 0 commitsFri 16:00 — 0 commitsFri 17:00 — 0 commitsFri 18:00 — 0 commitsFri 19:00 — 0 commitsFri 20:00 — 1 commitsFri 21:00 — 0 commitsFri 22:00 — 0 commitsFri 23:00 — 0 commitsSat 0:00 — 0 commitsSat 1:00 — 0 commitsSat 2:00 — 0 commitsSat 3:00 — 0 commitsSat 4:00 — 0 commitsSat 5:00 — 0 commitsSat 6:00 — 0 commitsSat 7:00 — 0 commitsSat 8:00 — 0 commitsSat 9:00 — 0 commitsSat 10:00 — 0 commitsSat 11:00 — 0 commitsSat 12:00 — 0 commitsSat 13:00 — 0 commitsSat 14:00 — 0 commitsSat 15:00 — 0 commitsSat 16:00 — 1 commitsSat 17:00 — 1 commitsSat 18:00 — 1 commitsSat 19:00 — 0 commitsSat 20:00 — 0 commitsSat 21:00 — 0 commitsSat 22:00 — 0 commitsSat 23:00 — 1 commits
Commit volume by weekday and hour (UTC). Larger dots mean more commits.

Who is committing

last 52 weeks
Maintainer commits17 (33%)
Community commits34 (67%)

51 commits in total over the last year.

DateListRankStars gained
Jan 20, 2026daily#13+223
Jan 19, 2026daily#4+474
Jan 18, 2026daily#1+1,325
Jan 17, 2026daily#12+233