Bar charts with numbers of variable stars types in the General Catalog of Variable Stars (GCVS):
Data source: General Catalog of Variable Stars, latest version,
Code: Jupyter Notebook for plotting this chart.
See also Numbers of most common variable stars types in the GCVS; Data source: General Catalog of Variable Stars (Samus+, 2007-2017), vartype.txt. Code: python script with data for plotting this charts
Data source: The International Variable Star Index (Watson+, 2006-2007),
Code: Jupyter Notebook for plotting this chart
Data source: Переменные звезды, открытые учениками ГБПОУ Воробьевы горы
Code: Jupyter Notebook for plotting this charts
Data source: The International Variable Star Index (Watson+, 2006-2007).
Code: python script with data for plotting this charts
See also results of cross-matching of clusters members with VSX variables and versions with other cross-matching radius.
Data source: Improving the open cluster census. II. An all-sky cluster catalogue with Gaia DR3,
VizieR Online Data Catalog. Hunt+, 2023.
See also Ruprecht 147: The Oldest Nearby Open Cluster as a New Benchmark for Stellar Astrophysics.
Code: python script and
Jupyter Notebook for plotting this chart
- History of supernovae observations by year
Code: python script with data for plotting this charts - Cumulative number of supernovae
- History of transient observations by year from Transient Name Server
Data sources: David Bishop, Latest Supernovae Archives,
Transient Name Server stats,
Central Bureau for Astronomical Telegrams List of SNe.
Data as JSON.
Code: python script with data for plotting this charts.
Displaying data in html page using JavaScript
Data source: Jochen Greiner; GRBs localized within a few hours to days to less than 1 degree,
data as JSON.
Code: python script with data for plotting this charts.
Displaying this data in html page using JavaScript
For all stars related code see this directory