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Last commit on August 4, 2026·Created on July 3, 2026
ai4s-research/open-science
“A framework for validating scientific analysis code and managing large-scale research datasets”
Combined rank
#169
across all skills
In Research
#12
category rank
Stars
1.2k
+16.3% in last 7d
Forks
131
+20.2% in last 7d
Watchers
5
+25.0% in last 7d
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Description
This repository provides tools for computational scientists to ensure domain correctness in their analysis. It implements deterministic gates designed to catch scientifically incorrect logic, such as unit mismatches or coordinate errors in physics and biology code, that standard execution tests might miss.
The toolkit also includes utilities for analyzing large-scale scientific datasets, including Parquet and NetCDF files, to prevent memory overflow during data ingestion.
WHO IT'S FOR
Computational scientists
validating scientific analysis code for domain correctness
Data scientists / Bioinformaticians
analyzing large-scale scientific datasets without memory overflow
Desktop application engineers
visually verifying Tauri frontend changes without full launches
AI research tool developers
testing skill loading and system integration
30 Days of GitHub Stars
960 30d stars↑ 417.4% monthly change
Jul 7Jul 14Jul 21Jul 28Aug 5
Compatibility & Install9 Skills · 2 Compatible agents · 3 categories · 1 install path
Compatible agents
❯Claude Code❯OpenCode
Categories
ResearchScienceDeveloper Tooling
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