RapidGBM inspects and analyzes transient events using data from the Fermi Gamma-ray Burst Monitor (GBM) on the Fermi Gamma-ray Space Telescope. The web-based tool checks whether a source at a specified sky position and time is observable by GBM, accounting for Earth occultation and spacecraft passages through the South Atlantic Anomaly using spacecraft position history files. The code retrieves time-tagged event data, generates light curves, estimates backgrounds, and computes signal-to-noise ratios to assess candidate signals. RapidGBM extracts source and background spectra and produces detector response matrices using the GBM Response Generator. Spectral fitting is performed through PyXspec (ascl:2101.014), enabling rapid evaluation of spectral parameters such as photon index, peak energy, and energy flux.

The Multi-Mission Maximum Likelihood framework (3ML) provides a common high-level interface and model definition for coherent and intuitive modeling of sources using all the available data, no matter their origin. Astrophysical sources are observed by different instruments at different wavelengths with an unprecedented quality, and each instrument and data type has its own ad-hoc software and handling procedure. 3ML's architecture is based on plug-ins; the package uses the official software of each instrument under the hood, thus guaranteeing that 3ML is always using the best possible methodology to deal with the data of each instrument. Though Maximum Likelihood is in the name for historical reasons, 3ML is an interface to several Bayesian inference algorithms such as MCMC and nested sampling as well as likelihood optimization algorithms.