Source code for the CERN Open Data portal
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Updated
Oct 5, 2026 - Python
Source code for the CERN Open Data portal
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
REANA: Reusable research data analysis platform
A tool to support the planning, implementation, and organization of research data management.
PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.
Source code for the CERN Analysis Preservation portal
B2SHARE software for the EUDAT CDI services.
Upload a CSV or Excel file and get exploratory data analysis with no code: EDA charts, anomaly detection, forecasts and plain-English questions in pandas, with the calculation shown under every number.
Acquire and process open access phenology data.
Omnipy is a high level Python library for type-driven data wrangling and scalable workflow orchestration (under development)
A package to create, publish, and clone research datasets
A collaborative research platform for resources on natural language texts
CRED-1: Open, reproducible domain credibility dataset for automated pre-bunking of online misinformation. TypeScript library, CLI & MCP server. Check any news source's reliability from terminal, code, or AI agents. CC BY 4.0, DOI-citable.
CoronaWhy Common Research and Data Infrastructure for COVID-19
Python code that can be used to gather and organize metadata from research data repositories about the research datasets published by affiliates of a particular institution.
RKI Metadata Exchange | Software development toolkit for the MEx project that contains utilities for building pipelines and services, including shared code for logging, configuration and data models.
This repository contains the performance evaluation tool and the dataset from the DSN '23 research paper "Analyzing the Performance of the Inter-Blockchain Communication Protocol".
中国绿色算力全球化交付体系与国际价值重构|介子九维:完整中文报告、英文摘要、开放研究数据与可复现模型。
A Python package to inspect formal quality problems in research data.
A JupyterLab extension for seamless integration of Jupyter-based research environments and research data repositories.
To associate your repository with the research-data topic, visit your repo's landing page and select "manage topics."