Save up to 91% with Spot VMs and get automatic sustained-use discounts. One free VM per month, plus $300 in credits.
Save on compute costs with Compute Engine. Reduce your batch jobs and workload bill 60-91% with Spot VMs. Compute Engine's committed use offers customers up to 70% savings through sustained use discounts. Plus, you get one free e2-micro VM monthly and $300 credit to start.
Try Compute Engine
Go From Idea to Deployed AI App Fast
One platform to build, fine-tune, and deploy. No MLOps team required.
Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
PyCosmic is a tool to detect and clean single images from the disturbing cosmic ray hits. It was designed and tested specifically for CALIFA and other fiber-fed integral-field spectroscopy dataset. It is written in Python and can be executed from the command line.
New release is version v0.5. Updated to be compatible with numpy version 1.12.
New release is version v0.4. It's now compatible with astropy for fits I/O and computation time is reduced by a factor of 2.
ATpy (Astronomical Tables in Python) is a Python module aimed at dealing with tables of astronomical data with a common API. To date, the following formats are supported: FITS, VO, and IPAC tables, and SQLite, MySQL, and PostgreSQL databases
...Not working yet! The first release comming soon...
Requirements
numpy
matplotlib
PyAstronomy
pymc
Installation is possible from source code or using build installation binary file (only for OS
Windows). The following procedure is only for installation from the source code. Extract
files and go to new-created folder. Running script setup.py the installation will be done:
python setup.py install