GeoPandas
GeoPandas developers (NumFOCUS affiliated) · GIS & mapping
Python library extending pandas with geometry columns, spatial operations, reprojection, spatial joins and file I/O for vector geodata
10 tools
GeoPandas developers (NumFOCUS affiliated) · GIS & mapping
Python library extending pandas with geometry columns, spatial operations, reprojection, spatial joins and file I/O for vector geodata
Uber Technologies (open-source project) · GIS & mapping
Hexagonal hierarchical geospatial indexing system from Uber with a C core and bindings for Python, JavaScript, Java and SQL engines
PostGIS Project Steering Committee (OSGeo) · GIS & mapping
Spatial extension for PostgreSQL adding geometry, geography and raster types with indexing and hundreds of SQL functions
Robert Andrew Martin and contributors · Portfolio & wealth management
Python library for portfolio optimization: efficient frontier, Black-Litterman, hierarchical risk parity and discrete allocation
QGIS.org association · GIS & mapping
Open-source desktop GIS for viewing, editing, analysing and publishing vector and raster geodata, extensible with Python plugins
QuantConnect Corporation · Financial analysis & investing
Algorithmic trading platform built on the open-source LEAN engine, with cloud backtesting, research notebooks and brokerage-connected live trading
QuantLib project (Luigi Ballabio and contributors) · Financial analysis & investing
Open-source C++ library for quantitative finance covering instruments, term structures, pricing engines and calendars, with Python and other bindings
Dany Cajas · Portfolio & wealth management
Python library for quantitative portfolio optimization with many risk measures, robust estimators and hierarchical clustering models
Oleg Polakow · Financial analysis & investing
Python library for vectorized backtesting and portfolio analysis built on pandas, NumPy and Numba, with a commercial PRO edition
Stefan Jansen (ML4Trading) · Financial analysis & investing
Community-maintained fork of Quantopian's Zipline, an event-driven Python backtester with data bundles and the Pipeline API
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