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  5. CBDC Resources vs NumPy

CBDC Resources vs NumPy

OverviewComparisonAlternatives

Overview

NumPy
NumPy
Stacks4.3K
Followers799
Votes15
GitHub Stars30.7K
Forks11.7K
CBDC Resources
CBDC Resources
Stacks0
Followers1
Votes1

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Detailed Comparison

NumPy
NumPy
CBDC Resources
CBDC Resources

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

CBDC Resources is a data and analytics platform that centralizes global information on Central Bank Digital Currency (CBDC) projects. It provides structured datasets, interactive visualizations, and technology-oriented insights used by fintech developers, analysts, and research teams. The platform aggregates official documents, technical specifications, and implementation details from institutions such as the IMF, BIS, ECB, and national central banks. Developers and product teams use CBDC Resources to integrate CBDC data into research workflows, dashboards, risk models, and fintech applications. Website : https://cbdcresources.com/

Powerful n-dimensional arrays; Numerical computing tools; Interoperable; Performant; Easy to use
Structured CBDC dataset for developers and analysts, Interactive map powered by data APIs, Country-level technical project metadata, Technology provider profiles with architecture details, Curated library of official specifications (IMF, BIS, ECB, central banks)
Statistics
GitHub Stars
30.7K
GitHub Stars
-
GitHub Forks
11.7K
GitHub Forks
-
Stacks
4.3K
Stacks
0
Followers
799
Followers
1
Votes
15
Votes
1
Pros & Cons
Pros
  • 10
    Great for data analysis
  • 4
    Faster than list
No community feedback yet
Integrations
Python
Python
No integrations available

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