A high-precision astronomical calculation library and CLI tool that provides comprehensive sun and moon information for any location and date.
Solunatus computes astronomical events and positions using industry-standard algorithms (NOAA for solar calculations, Meeus for lunar). Whether you're planning photography sessions, scheduling outdoor activities, or building astronomy-related applications, Solunatus delivers accurate, offline-first calculations for sunrise/sunset, moon phases, twilight periods, and celestial positions.
Dual Purpose:
- 📚 Library: Clean, well-documented Rust API for integrating astronomical calculations into your projects
- 💻 CLI: Feature-rich command-line tool with interactive TUI, JSON output, and calendar generation
Key Highlights:
- ✅ Offline-first core (no internet required for calculations)
- ✅ 570+ cities worldwide in built-in database
- ✅ Historical and future dates (1000 BCE to 3000 CE)
- ✅ USNO-compliant calculations for navigation-grade accuracy
- ✅ Optional AI-powered insights via local Ollama integration
Get up and running in under a minute:
# Install from crates.io
cargo install solunatus
# Run with a city name
solunatus --city "New York"
# Or use coordinates
solunatus --lat 40.7128 --lon -74.0060 --tz America/New_YorkThe interactive TUI will display live astronomical data. Press q to quit, s for settings, or r for reports/calendar generation.
For detailed installation instructions, see the Installation Guide or the Quick Start Guide.
- What is Solunatus?
- Quick Start
- Features
- Screenshot
- Installation
- CLI Usage
- Advanced Features
- Technical Details
- Architecture
- Performance
- Documentation
- Contributing
- License
- Sun: Sunrise, Solar Noon, Sunset
- Twilight: Civil, Nautical, and Astronomical dawn and dusk times
- Real-time Position: Current solar and lunar altitude and azimuth
- Moon Events: Moonrise, Moonset, and Transit times
- Moon Details:
- Phase name, emoji, angle, and illumination percentage
- Monthly calendar of lunar phases (New, First Quarter, Full, Last Quarter)
- Distance from Earth and apparent angular size
- Maximum altitude for the day
- Offline-First Core: All core astronomical calculations run locally.
- AI-Powered Insights: Connects to Ollama for narrative summaries of astronomical events (optional).
- Time Sync Verification: Checks system clock accuracy against internet time servers (optional).
- Interactive Watch Mode: A live-updating TUI that refreshes automatically.
- City Database: Built-in database of 570+ cities worldwide.
- JSON & HTML Output: Provides machine-readable JSON output and generates shareable HTML calendars.
- Configuration: Remembers your last location for quick subsequent runs.
Solunatus in watch mode showing live astronomical data for Los Angeles:
In watch mode (the default), this display updates in real-time every second, giving you a live view of the sky. Press s to open the settings menu, r for reports, or q to quit.
Requirements:
- Rust 1.70 or later
- Cargo (included with Rust)
cargo install solunatus# Clone the repository
git clone https://github.com/FunKite/solunatus.git
cd solunatus
# Build release version
cargo build --release
# Install to system
cargo install --path .Solunatus supports optional features that can be disabled for lighter builds or to avoid OpenSSL compilation issues:
# Minimal build (no USNO validation, no AI insights, no reqwest dependency)
cargo install solunatus --no-default-features
# Build with only USNO validation (requires reqwest)
cargo install solunatus --no-default-features --features usno-validation
# Build with only AI insights (requires reqwest)
cargo install solunatus --no-default-features --features ai-insightsAvailable Features:
usno-validation(default: enabled) - USNO API validation reports (--validateflag,rkey)ai-insights(default: enabled) - Ollama AI integration (--ai-insightsflag,akey)
Both features require reqwest (which uses rustls-tls for pure-Rust TLS). Disabling them completely removes the reqwest dependency, solving cross-compilation issues.
Solunatus can be used as a library in your Rust projects for high-precision astronomical calculations.
Add to your Cargo.toml:
[dependencies]
solunatus = "0.3.1"
chrono = "0.4"
chrono-tz = "0.10"Quick example:
use solunatus::prelude::*;
use chrono::Local;
use chrono_tz::America::New_York;
fn main() {
// Create a location (latitude, longitude)
let location = Location::new(40.7128, -74.0060).unwrap();
let now = Local::now().with_timezone(&New_York);
// Calculate sunrise and sunset
if let Some(sunrise) = calculate_sunrise(&location, &now) {
println!("Sunrise: {}", sunrise.format("%H:%M:%S"));
}
if let Some(sunset) = calculate_sunset(&location, &now) {
println!("Sunset: {}", sunset.format("%H:%M:%S"));
}
// Get current sun position
let (altitude, azimuth) = calculate_sun_position(&location, &now);
println!("Sun: {:.2}° altitude, {:.2}° azimuth", altitude, azimuth);
// Get current moon phase
let (phase_name, phase_emoji) = get_current_moon_phase(&location, &now);
println!("Moon phase: {} {}", phase_emoji, phase_name);
}Feature Flags for Library Usage:
When using Solunatus as a library, you can disable optional features to reduce binary size and compilation dependencies:
# Minimal library (no HTTP, no parallelization - smallest binary)
solunatus = { version = "0.3.1", default-features = false }
# Core + parallelization (faster calendar generation, no HTTP)
solunatus = { version = "0.3.1", default-features = false, features = ["cpu-portable", "parallel"] }
# Full features (default - includes USNO validation and AI insights)
solunatus = "0.3.1"Available Feature Flags:
cpu-portable(default: enabled) - Baseline CPU features for cross-platform compatibilityusno-validation(default: enabled) - USNO API validation functions (requiresreqwest)ai-insights(default: enabled) - AI integration functions (requiresreqwest)parallel(default: disabled) - Parallel calendar generation using Rayon (~500KB smaller when disabled)
Disabling usno-validation and ai-insights removes the reqwest dependency entirely, which:
- Reduces binary size by ~1-2 MB
- Eliminates OpenSSL/TLS compilation requirements
- Simplifies cross-platform builds
- Makes the library fully offline with zero network dependencies
All core astronomical calculations work identically regardless of feature flags.
More Examples:
The examples directory contains comprehensive usage patterns:
- basic_usage.rs - Getting started with sun/moon calculations
- city_search.rs - Using the built-in city database
- moon_phases.rs - Calculate monthly lunar phases
- batch_processing.rs - Efficient multi-day calculations
- custom_events.rs - Advanced twilight and solar events
Run any example with:
cargo run --example basic_usageAPI Documentation:
Full API documentation is available at docs.rs/solunatus
# Use a city from the database
solunatus --city "New York"
# Specify location with coordinates
solunatus --lat 40.7128 --lon=-74.0060 --tz=America/New_York
# Show help
solunatus --helpThe default mode is a live-updating display:
| Key | Action |
|---|---|
q |
Quit the application |
s |
Open Settings menu |
r |
Open Reports menu (calendar, USNO validation, benchmark) |
f |
Manually refresh AI insights (if enabled) |
Settings Menu (s key):
- Location mode (City / Manual)
- Time sync settings (enable/disable, NTP server)
- Display sections (Location/Date, Events, Positions, Moon, Lunar Phases)
- Night mode (red text to preserve night vision)
- AI insights configuration (enable/disable, server, model, refresh interval)
Reports Menu (r key):
- Calendar generator (HTML/JSON export for date ranges)
- USNO validation (compare accuracy against U.S. Naval Observatory data)
- Performance benchmark (test calculation speed across all cities)
Watch mode continuously updates the clock and refreshes sun/moon positions every 5 seconds, detailed moon data every 10 minutes, and rebuilds the lunar phase list at local midnight to balance accuracy with CPU efficiency.
solunatus --city "Tokyo" --jsonProduce full-range astronomical calendars with daily sunrise, sunset, twilight, moonrise, moonset, and phase data.
# Generate an HTML calendar for January 2026
solunatus --city "Lisbon" \
--calendar \
--calendar-start 2026-01-01 \
--calendar-end 2026-01-31 \
--calendar-format html \
--calendar-output lisbon-jan-2026.html
# JSON calendar spanning the Apollo 11 mission window
solunatus --lat 28.5721 --lon -80.6480 \
--calendar \
--calendar-start 1969-07-15 \
--calendar-end 1969-07-27 \
--calendar-format jsonCalendars can cover any range between astronomical years -0999 (1000 BCE) and 3000. BCE dates use the proleptic Gregorian format with a leading minus (e.g. -0032-11-01).
In watch mode, press r to open the Reports menu, then select the calendar generator to interactively adjust the range, toggle HTML/JSON, and export directly from the TUI.
Solunatus can connect to a local Ollama instance to provide narrative, AI-generated insights based on the current astronomical data. This feature can summarize the sky view, highlight interesting events, and offer context beyond the raw numbers.
To use this feature:
- Ensure you have Ollama installed and running.
- Pull a model (e.g.,
ollama pull llama3:8b). - Run Solunatus with the
--ai-insightsflag.
# Enable AI insights with a default model
solunatus --ai-insights
# Specify a custom model and server
solunatus --ai-insights --ai-model "llama3:8b" --ai-server "http://192.168.1.100:11434"In watch mode, press s to open the Settings menu where you can configure AI insights, including enabling/disabling them, selecting models, and setting the refresh interval.
- City Database: Built-in database of 570+ cities worldwide with coordinates and timezone data
- Manual Coordinates: Specify exact latitude, longitude, elevation, and timezone for any location
- Time Synchronization: Checks system clock accuracy against NTP servers to ensure reliable event timing
All astronomical calculations follow U.S. Naval Observatory (USNO) conventions for standardized, reproducible results that align with celestial navigation standards used in maritime and aviation almanacs.
| Flag | Description |
|---|---|
--lat <LAT> |
Latitude in decimal degrees |
--lon <LON> |
Longitude in decimal degrees |
--tz <TZ> |
Timezone (IANA format, e.g., America/New_York) |
--city <CITY> |
Select city from database |
--date <DATE> |
Date in YYYY-MM-DD format (default: today) |
--json |
Output in JSON format |
--calendar |
Generate a calendar instead of standard output |
--calendar-format <html|json> |
Calendar output format (html or json, default: html) |
--calendar-start <DATE> |
Calendar start date (requires --calendar) |
--calendar-end <DATE> |
Calendar end date (requires --calendar) |
--calendar-output <PATH> |
Optional file path for the calendar |
--ai-insights |
Enable AI-powered insights (requires Ollama) |
--ai-server <URL> |
Ollama server address (e.g., http://localhost:11434) |
--ai-model <MODEL> |
Ollama model to use for insights (e.g., llama3:8b) |
--ai-refresh-minutes <MIN> |
Refresh interval for AI insights in minutes (1-60) |
--no-prompt |
Disable interactive prompts |
--no-save |
Don't save configuration |
Solunatus uses industry-standard astronomical algorithms for maximum accuracy:
- Solar Calculations: NOAA solar calculation algorithms
- Lunar Position: Topocentric model accounting for Earth's flattening and parallax
- Lunar Phases: Meeus "Phases of the Moon" algorithm from "Astronomical Algorithms"
- Rise/Set Times: Bisection root-finding with standard atmospheric refraction corrections
All calculations follow U.S. Naval Observatory (USNO) conventions and have been validated against USNO data. Typical accuracy:
- Sunrise/Sunset: ±1 minute
- Moon phases: ±5 minutes
- Celestial positions: Sub-degree precision
See Astronomical Accuracy Documentation for detailed validation methodology and test results.
Configuration is saved to ~/.solunatus.json:
{
"lat": 40.7128,
"lon": -74.0060,
"tz": "America/New_York",
"city": "New York"
}The project is organized into focused modules:
astro/- Core astronomical calculationssun.rs- Solar position and event calculations (NOAA algorithms)moon.rs- Lunar position, phases, and events (Meeus algorithms)coordinates.rs- Coordinate transformations and compass bearingstime_utils.rs- Time formatting and duration calculations
tui/- Terminal user interfaceapp.rs- Application state managementui.rs- Rendering and display logicevents.rs- Keyboard input handling
cli.rs- Command-line argument parsingcity.rs- City database and search functionalityconfig.rs- Configuration persistenceoutput.rs- JSON output formattingmain.rs- Application entry point and orchestration
All dependencies are well-maintained Rust crates:
Core dependencies:
clap- Command-line argument parsingratatui+crossterm- Terminal UIchrono+chrono-tz- Date/time handlingserde+serde_json- Serializationfuzzy-matcher- City searchanyhow- Error handling
Optional dependencies (configurable via feature flags):
reqwest- HTTP client with rustls-tls (optional: for USNO validation and AI insights)rayon- Parallel processing (optional: for faster calendar generation)
Solunatus is optimized for speed and efficiency:
- Fast calculations: Computes sun/moon data for 570+ cities in under 100ms
- Low memory footprint: Minimal RAM usage for long-running watch mode
- CPU-optimized builds: Special profiles for Apple Silicon (M1/M2/M3) and x86_64 AVX2
- Parallel processing: Optional Rayon support for faster calendar generation (enable with
parallelfeature)
Tested and optimized for all Rust Tier 1 platforms:
- Linux (x86_64)
- macOS (Intel and Apple Silicon)
- Windows (x86_64 and 32-bit)
# Native CPU optimization (recommended for local use)
RUSTFLAGS="-C target-cpu=native" cargo install solunatus
# Apple Silicon optimized build
cargo build --profile release-m1-max
# x86_64 with AVX2 support
cargo build --profile release-x86-64-v3See Performance Documentation for detailed benchmarks and optimization guides.
Comprehensive documentation is available in the docs/ directory:
- Installation Guide - Detailed installation instructions
- Quick Start - Get running in 5 minutes
- CLI Reference - Complete command-line options
- Interactive Mode - TUI watch mode guide
- Calendar Generation - Generate astronomical calendars
- JSON Output - Machine-readable output format
- AI Insights - Using Ollama for narrative summaries
- City Database - Built-in city database guide
- Troubleshooting - Common issues and solutions
- Development Setup - Building from source
- Architecture Overview - Project structure and design
- Astronomical Accuracy - Testing methodology and verification
- Performance Optimization - Benchmarks and optimization techniques
- API Documentation - Full API reference on docs.rs
- Examples - Code examples for library usage
- Changelog - Version history and release notes
- Contributing Guide - How to report bugs and request features
- Code of Conduct - Community guidelines
- Security Policy - Security reporting and policies
Solunatus welcomes feedback and bug reports! While external pull requests are not currently being accepted, your input is valuable:
- Report bugs and issues - Help us improve quality and stability
- Request features - Suggest enhancements and new capabilities
- Share feedback - Tell us about your use cases and experiences
See our Contributing Guide for more details.
MIT
🌅 Astronomical calculations for any location and date
