Skip to main content

A command-line tool for astrophotographers to find optimal viewing times for deep sky objects

Project description

StarTeller-CLI

A comprehensive command-line tool for astrophotographers and telescope enthusiasts to find optimal viewing times for deep sky objects throughout the year.

Given your location, StarTeller calculates when each object in the NGC/IC/Messier catalogs reaches its highest point during astronomical darkness. It accounts for altitude, direction, and dark sky conditions to help you plan observation sessions.

Installation

Install from PyPI (Recommended)

pip install starteller-cli
starteller

That's it! The starteller command will be available in your terminal.

Install from Source (Development)

If you want to modify the code or install the latest development version:

git clone https://github.com/ConnRaus/StarTeller-CLI.git
cd StarTeller-CLI
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install .
starteller

Or run directly without installing:

git clone https://github.com/ConnRaus/StarTeller-CLI.git
cd StarTeller-CLI
pip install -r requirements.txt
python src/starteller_cli.py

How it works

  1. Enter your coordinates (or use a saved location)
  2. Pick a catalog (Messier, NGC, IC, or all ~13,000 objects)
  3. Set minimum altitude and optional direction filter
  4. Get a CSV with optimal viewing times for each object

The first run downloads the NGC catalog and Addendum (~4MB) and calculates night darkness times for the year. Both are cached, so subsequent runs are fast.

Output

Results go to starteller_output/ in your current directory. The CSV includes:

Column Description
Object NGC/IC/Messier ID
Name Common name if available
Type Galaxy, Nebula, Cluster, etc.
RA Right Ascension in degrees
Dec Declination in degrees
Best_Date Date when object is highest at midnight
Best_Time_Local Time of peak altitude
Max_Altitude_deg Maximum altitude reached
Azimuth_deg Azimuth angle at peak altitude
Direction Cardinal direction (N, NE, E, etc.)
Rise_Time_Local When it rises above your minimum altitude
Rise_Direction Direction it rises from
Set_Time_Local When it drops below minimum altitude
Set_Direction Direction it sets toward
Observing_Duration_Hours Total time above minimum altitude
Dark_Nights_Per_Year Number of nights with astronomical darkness
Good_Viewing_Periods Number of good viewing periods
Dark_Start_Local Start of astronomical darkness
Dark_End_Local End of astronomical darkness
Timezone Timezone used for local times

Options

Catalogs:

  • Messier (~110 objects)
  • NGC (~8,000 objects)
  • IC (~5,000 objects)
  • All (~13,000 objects)

Filters:

  • Minimum altitude (default 20°)
  • Direction filter - e.g., 90,180 for objects in the East to South

Python API

You can also use StarTeller programmatically:

from src.starteller_cli import StarTellerCLI

st = StarTellerCLI(
    latitude=40.7,
    longitude=-74.0,
    elevation=10,
    catalog_filter='messier'
)

results = st.find_optimal_viewing_times(min_altitude=25)
results = st.find_optimal_viewing_times(direction_filter=(90, 180))  # East to South

File locations

Data is stored in platform-specific directories:

Windows: %LOCALAPPDATA%\StarTeller-CLI\
Linux: ~/.local/share/starteller-cli/
macOS: ~/Library/Application Support/StarTeller-CLI/

Cache goes to the platform's cache directory. Output CSVs go to ./starteller_output/.

Requirements

  • Python 3.8+
  • Internet connection (first run only, to download catalog)

Dependencies: pandas, numpy, pytz, timezonefinder, tqdm

Data source

Catalog data comes from OpenNGC by Mattia Verga, licensed under CC-BY-SA-4.0.

License

AGPL-3.0-or-later (GNU Affero General Public License v3). See LICENSE.

The NGC catalog data is CC-BY-SA-4.0.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

starteller_cli-1.2.0.tar.gz (36.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

starteller_cli-1.2.0-py3-none-any.whl (31.7 kB view details)

Uploaded Python 3

File details

Details for the file starteller_cli-1.2.0.tar.gz.

File metadata

  • Download URL: starteller_cli-1.2.0.tar.gz
  • Upload date:
  • Size: 36.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for starteller_cli-1.2.0.tar.gz
Algorithm Hash digest
SHA256 b4154c110a8ea9dc046d965560c2abbde0469eea713aa6f0419e8c06dce9d965
MD5 a4ae349300a38a60af61cba7adf1d0ba
BLAKE2b-256 fab38ae65d772efd840c9cd7ecd8c890de605ad864bdf825fbcd2ac14be0c467

See more details on using hashes here.

File details

Details for the file starteller_cli-1.2.0-py3-none-any.whl.

File metadata

  • Download URL: starteller_cli-1.2.0-py3-none-any.whl
  • Upload date:
  • Size: 31.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for starteller_cli-1.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 380257d80279853bf82a0dad07ae37eb8f662b20ed5d74685c225f337f5c8eac
MD5 27d2834a6724ab2b2eeb26cdd2c379bc
BLAKE2b-256 2fe1bdc05e0c1c7d4862be0d0987be4afa23ab42c038e517b67ab244108ae086

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page