A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data

A python-based library to collect, manage, and visualize geospace data (e.g. OMNI, geomagnetic indices, EISCAT, DMSP, SWARM, TEC, AMPERE, etc.).

Python package of the multi-spacecraft longitudinal configuration plotter Solar-MACH

Forecasting of the solar wind and geomagnetic storms with spacecraft at L1, L5 or trailing the Earth in its orbit

Data loader (and downloader) for Solar Orbiter/EPD energetic charged particle sensors EPT, HET, and STEP. Supports level 2 and low latency data provided by ESA's Solar Orbiter Archive.

Making and analyzing heliospheric event catalogs

3D coronal mass ejection flux rope modeling

Animations and plots of spacecraft positions for Parker Solar Probe, Solar Orbiter, Bepi Colombo, and STEREO-A (2018-2025) with heliopy

Space weather indices for python

Verifying the predictions of solar coronal mass ejections (CMEs) with multipoint in situ data, and deriving statistics of CME parameters for the 4 terrestrial planets and Parker Solar Probe.

Atmospheric ionization from particle precipitation

Calculates from knowledge of the solar wind plasma and magnetic field the Dst index

Forward modeling of solar storm magnetic flux ropes for space weather prediction.

This repository provides the python-based code for Coronal Mass Ejection(CME) arrival forecast using Drag Based Model(DBM).

This repository provides a python code to infer morphological parameters of Coronal Mass Ejection using Cone model given by Xie et al.,2004.

The studies here are produced in the laboratory and cover various fields

The Nikola Tesla Institute Space Weather Station System

CME measurements using GCS forward modeling techniques to create a common set of parameters to aid in CME propagation modeling assessment

AutoiCmEDetection

Understanding and predicting the distribution and concentration of free electrons (TEC/TECU) in the ionosphere that result from solar and cosmic radiation hitting the Earth.