lsst-dm Goto Github PK
Name: Rubin Observatory/LSST Data Management Team
Type: Organization
Bio: This organization contains repositories of internal interest to LSST DM.
Blog: https://dm.lsst.org/
Name: Rubin Observatory/LSST Data Management Team
Type: Organization
Bio: This organization contains repositories of internal interest to LSST DM.
Blog: https://dm.lsst.org/
Workflow templates for GitHub Actions.
conf files for activemq
ADASS27: Challenges of Standardizing and Supporting ITC Services in a Widely Distributed Project
BoF summary for science platforms
Simulator for Rubin's alert stream
Ingester for the alert DB laid out in DMTN-183
Backend service for serving archived alerts over HTTP
Mock alert stream distribution system using Kafka producers and consumers.
Notes and scripts used when setting up a scratch alert broker instance on the IDF
Documentations on image processing algorithms (not necessarily their LSST implementations)
Example notebooks demonstrating use of the analysis_tools package for generating science performance plots and metrics
LSST Data Management: determine consistent astrometry and photometry for multiple images.
Nightly reporting and performance from the AP pipelines
A repository for jupyter notebooks created to analyze various ap_pipe processing runs.
Template repo for developing datasets for use with verify_ap
Software description paper for the Science Pipelines software stack
Third party package for the autograd package
Notebooks for the LSST@Europe 2016 meeting in Belgrade
Experiments with Boost.Python
Scripts for processing HSC RC2 dataset with BPS and Gen3
Notebooks containing tests of the bright star subtraction in development within Rubin Obs' Science Pipelines.
Github action to build and tag docker images
A Butler server
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.