Stellar LAbel Machine (SLAM).
☆13Aug 11, 2024Updated 2 years ago
Alternatives and similar repositories for astroslam
Users that are interested in astroslam are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A toolkit for LAMOST spectra.☆31Jun 10, 2026Updated 3 months ago
- A collection of scripts for analyzing the data from the Gaia satellite☆30Jun 2, 2021Updated 5 years ago
- FERRE matches physical models to measurements☆21Jul 25, 2026Updated last month
- A Non-parametric Approach to Constrain the Transfer Function in Reverberation Mapping.☆11Aug 20, 2026Updated last month
- allesfitter is a convenient wrapper around the packages ellc (light curve and RV models), dynesty (static and dynamic nested sampling) em…☆69Apr 14, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- A wide-ranging suite of IDL routines which observational extragalactic astronomers may find useful.☆15Apr 6, 2019Updated 7 years ago
- Pearson product-moment correlation coefficient☆13Dec 11, 2016Updated 9 years ago
- Identify geometrical transformations between optical astronomical images☆14May 3, 2020Updated 6 years ago
- ☆19Nov 4, 2024Updated last year
- Quasar Factor Analysis – An Unsupervised and Probabilistic Quasar Continuum Prediction Algorithm with Latent Factor Analysis☆12Aug 18, 2023Updated 3 years ago
- a data-driven method for determining stellar parameters and abundances from stellar spectra☆44Feb 9, 2018Updated 8 years ago
- ☆12May 9, 2025Updated last year
- PyFOSC is a pipeline toolbox for spectroscopic data reduction written in Python. It can be used for FOSC data from Xinglong/Lijiang 2-met…☆16Jul 12, 2026Updated 2 months ago
- Clustering algorithms processing methods on astronomical spectra.☆10Oct 24, 2023Updated 2 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ReadMe and MRT builder for authors☆44Updated this week
- Astronomical Dust Extinction☆50Updated this week
- A custom Monte Carlo sampler for the (gravitational) two-body problem☆34Dec 2, 2025Updated 9 months ago
- Python modules for light curve work and variable star astronomy☆62Jul 15, 2024Updated 2 years ago
- Ultra-faint galaxy likelihood toolkit☆20Mar 31, 2026Updated 5 months ago
- PytHon Equivalent Widths☆12May 31, 2024Updated 2 years ago
- Downloading, cleaning, & analyzing ATLAS supernova light curves through user-friendly interactive notebooks and scripts.☆18Jul 21, 2025Updated last year
- action, angle and frequency estimation using various methods☆11Oct 8, 2018Updated 7 years ago
- Light curve model for transiting exoplanets and eclipsing binary stars☆41Jun 22, 2026Updated 2 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Fast spectral synthesis and emission-line fitting of DESI spectra.☆19Sep 13, 2026Updated last week
- Long term rotation period finding tool for NASA's TESS mission☆18Aug 11, 2021Updated 5 years ago
- X-ray spectral timing in Python☆15Jun 17, 2025Updated last year
- I provide a python package for transformations between WD photometry (Gaia, SDSS, WISE, and many more) and physical parameters, based on …☆35Nov 2, 2022Updated 3 years ago
- Python and C library for Source Extraction and Photometry, forked from kbarbary/sep to provide additional features and bug fixes.☆18Feb 4, 2025Updated last year
- ☆21Feb 16, 2026Updated 7 months ago
- ☆15Aug 25, 2021Updated 5 years ago
- Plot identification charts for Kepler, K2 and TESS☆28Aug 21, 2025Updated last year
- A Python Spectral Typing Suite☆57Jun 25, 2020Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Documentation to accompany phoebe2