wschuell

wschuell's Stars

• turbot/steampipe

  Zero-ETL, infinite possibilities. Live query APIs, code & more with SQL. No DB required.

  Language:Go6.9k267

• supabase/index_advisor

  PostgreSQL Index Advisor

  Language:PLpgSQL1.6k11

• nucleuscloud/neosync

  Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.

  Language:Go3.1k109

• getgrit/gritql

  GritQL is a query language for searching, linting, and modifying code.

  Language:Rust3k71

• Marsilea-viz/marsilea

  Declarative creation of composable visualization for Python (Complex heatmap, Upset plot, Oncoprint and more~)

  Language:Python1636

• GraphiteEditor/Graphite

  2D vector & raster editor that melds traditional layers & tools with a modern node-based, non-destructive, procedural workflow.

  Language:Rust7.8k409

• anopara/genetic-drawing

  A genetic algorithm toy project for drawing

  Language:Python2.2k196

• gotec/git2net

  An Open Source Python package for the extraction of fine-grained and time-stamped co-editing networks from git repositories.

  Language:Python5316

• rust-lang/rust

  Empowering everyone to build reliable and efficient software.

  Language:Rust97.3k12.6k

• scabanes/JUMP

  Statistical tools to study geophysical flows in cartesian & cylindrical geometry

  Language:MATLAB2

• mbloch/mapshaper

  Tools for editing Shapefile, GeoJSON, TopoJSON and CSV files

  Language:JavaScript3.7k532

• amel-github/covid19-interventionmeasures

  Complexity Science Hub (CSH) Covid-19 Control Strategies List (CCCSL)

  Language:TeX6011

• CSSEGISandData/COVID-19

  Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

  29.1k18.4k

• mattbierbaum/arxiv-public-datasets

  A set of scripts to grab public datasets from resources related to arXiv

  Language:Python40163

• star-history/star-history

  The missing star history graph of GitHub repos - https://star-history.com

  Language:TypeScript6.4k260

• milanjanosov/Success-and-randomness-in-creative-careers

  Supplementary data and figures for the paper 'Success and randomness in creative careers' published in EPJ Data Science

  Language:Jupyter Notebook101

• oist-cnru/reproducible

  Keep track of your results

  Language:Python16

• pubs/pubs

  Your bibliography on the command line

  Language:Python26732