Name of the tool: .Stat Suite
Owner: Statistical Information System Collaboration Community (SIS-CC) under the OECD Secretariat
Description and main purpose of the software
The development and maintenance of the .Stat Suite is overseen by the Statistical Information System Collaboration Community (SIS-CC), led by OECD, a group of statistical organisations with common goals, sharing similar needs in terms of data dissemination and production, who are interested in mutualising costs and sharing knowledge, and committed to foster common standards (SDMX). The Community develops open source digital solutions to support the official statistics world at large.
The solution, the .Stat Suite, is an SDMX native standard-based, componentised, open source platform for the efficient production and dissemination of high-quality statistical data. The product roadmap aims at progressively covering the full (macro) data lifecycle, enabling organisations to bring further value as ‘Trusted quality data’ producers, empowering them with ‘Quality assurance by design’ and ‘Advanced workflow & reporting’ mechanisms, ‘high performance calculation’ and import and export tasks to enable efficiency gains and quality of user experience in data operations.
The Community also works in close partnership with Eurostat enabling the reuse of open source and common modules from the SDMX Reference Infrastructure package. The .Stat Suite is developed under a continuous user driven product delivery model, with a state-of-the-art software delivery (DevOps) mechanism to combine transparency, agility, multiplicity of contributors, and simplicity of deployment on the cloud, software quality and security.
Key features: The .Stat Suite has three main modules:
License: MIT
Input format(s): SDMX-ML 2.0, SDMX-ML 2.1, SDMX-CSV, Excel.
Output format(s): SDMX-ML 2.0, SDMX-ML 2.1, SDMX-CSV, SDMX-JSON, Excel.Programming language(s): .Net CORE, JavaScript (React/Redux/MaterialUI)
Operating system(s): Native multi-platform support including Windows, Linux and MacOS; a containerised installation is available
Language(s): Multilingual
Further information : Further information including a full feature list, installation guidance and examples, and how to contribute can be found on the .Stat Suite Gitlab project site. Details on the latest versions including bug fixes, changes and new features can be found in the Change Log. Alternatively you can send an email to contact@siscc.org and also find more information on the Community site.