GeoPandas vs. Matplotlib vs. PandaConnect vs. Python Comparison Chart

GeoPandas is an open-source project to make working with geospatial data in python easier. GeoPandas extends the datatypes used by pandas to allow spatial operations on geometric types. Geometric operations are performed by shapely. Geopandas further depends on fiona for file access and matplotlib for plotting. The goal of GeoPandas is to make working with geospatial data in python easier. It combines the capabilities of pandas and shapely, providing geospatial operations in pandas and a high-level interface to multiple geometries to shapely. GeoPandas enables you to easily do operations in python that would otherwise require a spatial database such as PostGIS. GeoPandas is a community-led project written, used and supported by a wide range of people from all around of world of a large variety of backgrounds. GeoPandas will always be 100% open source software, free for all to use and released under the liberal terms of the BSD-3-Clause license.

PandaConnect is a full‑scale investment administration platform and service designed to deliver a complete, correct, and timely portfolio overview across all asset classes and all custodians, currencies, banks, family members, managers, and legal entities. Built from Scandinavian institutional origins and independently operated since 1997, PandaConnect consolidates and aggregates data via its front‑to‑back online platform (PandaCockpit web & app), enabling automatic daily reconciliation with over 65 custodians, transaction registration by team or system, performance (MWR, TWR, IRR), risk figures, compliance monitoring (VaR, stress‑tests, Solvency II), bookkeeping, NAV calculation, cost transparency, and bespoke reporting. PandaCockpit provides interactive investment reporting showing return, risk against benchmarks, transactions, static data, market values, statistical indicators, and supports data exports.