Software list for official statistics creation/access
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This repository is an "awesome list" curating free and open-source software used in the creation, access, and dissemination of official statistics. It targets statisticians, data scientists, and researchers working with official data, providing a centralized resource for discovering relevant tools and best practices.
How It Works
The list is organized by the Global Statistical Business Process Model (GSBPM) phases, categorizing software based on its function within the statistical lifecycle. Each entry includes a brief description, the primary programming language or technology, and often the originating statistical agency. This structured approach allows users to quickly find tools relevant to specific stages of statistical production.
Quick Start & Requirements
This is a curated list, not a software package. To use the listed software, users must individually install and configure each tool. Requirements vary widely, from R and Python packages to Java applications and web platforms. Links to official documentation and installation guides are often provided for each tool.
Highlighted Details
Maintenance & Community
The list is actively maintained, with recent updates noted for March 2025. Contributions are welcomed via pull requests or email. Authors of listed software are encouraged to use a "Mentioned in Awesome Official Statistics" badge.
Licensing & Compatibility
The list itself is licensed under a Creative Commons Attribution 4.0 International License. The licensing of individual software packages varies, but the primary criterion for inclusion is that the software is free and open-source. Compatibility for commercial use depends on the specific license of each listed tool.
Limitations & Caveats
As a curated list, the quality and maintenance status of individual software entries can vary. Users are advised to check the active maintenance and specific requirements of each tool before adoption. Some older entries might be outdated or no longer actively developed.
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