Enterprise Concept Framework, the 7×7 axiom-derived matrix that the DEA metamodel and catalogs instantiate.
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Updated
Oct 27, 2026 - Python
Enterprise Concept Framework, the 7×7 axiom-derived matrix that the DEA metamodel and catalogs instantiate.
Canonical catalog of Performance Metric records for OpenDEAM, bound to dea:PerformanceMetric in dea-metamodel (measurement-dimension).
Focused Python library for slack-based DEA, undesirable outputs, environmental frontiers, and panel productivity analysis.
Auditable, typed data envelopment analysis for classical, economic, productivity, and multi-stage network models
Replication package for Technical efficiency, productivity growth, and the effects of territorial reintegration, including data, code, and documentation for full computational reproducibility.
A Python-based healthcare analytics platform for Value Frontier Analysis, data preprocessing, provider performance evaluation, and report generation.
Analyze historical retail sales data to derive actionable insights.
Python lakehouse pipeline replicating a Data Envelopment Analysis study on the efficiency of Brazilian municipalities in education spending, showcasing modern data engineering practices and analytics workflows
a python implementation of the standard and super-efficiency SBM (Slack-Based Measure) models, with and without undesirable outputs
ArcDEA: Digital Earth Australia ArcGIS Pro plugin.
Using PCA(Principle Component Analysis) and DEA(Data Envelope Analysis) techniques to identify relative efficient firms (stocks).
A python package that offers high flexibility for implementing and experimenting with non-classical DES.
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