tweag/funflow
Functional workflows
GitHub repository with 364 stars and 30 forks.
Language: Haskell
Topics: reproducible-research, workflow, content-addressable-storage
Functional workflows
GitHub repository with 364 stars and 30 forks.
Language: Haskell
Topics: reproducible-research, workflow, content-addressable-storage
Trending score 0.05, activity score 0.05, stars gained not enough history, forks gained not enough history.
2026-06-05: 364 stars and 30 forks.
Functional workflows
GitHub repository with 364 stars and 30 forks.
Trending score: 0.05.
Language: Haskell
Topics: reproducible-research, workflow, content-addressable-storage
CI and hosting for nix-based, flakified github repos
GitHub repository with 394 stars and 40 forks.
Trending score: 2.05; stars gained: +10; forks gained: +1.
Language: Haskell
Monoscope lets you ingest and explore your logs, traces and metrics. We store these in S3 compatible buckets. Query in natural language via LLMs.
GitHub repository with 1,021 stars and 40 forks.
Trending score: 1.37; stars gained: +19; forks gained: +2.
Language: Haskell
Topics: haskell, logs, metrics, monitoring, observability, opentelemetry
Robust, fast, intuitive plain text accounting tool with CLI, TUI and web interfaces.
GitHub repository with 4,519 stars and 386 forks.
Trending score: 1.03; stars gained: +5; forks gained: +0.
Language: Haskell
Topics: hledger, haskell, ledger, web-application, console-application, command-line-tool
Dockerfile linter, validate inline bash, written in Haskell
GitHub repository with 12,181 stars and 493 forks.
Trending score: 0.69; stars gained: +4; forks gained: +0.
Language: Haskell
Generator of runtime monitors for flight and robotics applications.
GitHub repository with 565 stars and 52 forks.
Trending score: 0.62; stars gained: +2; forks gained: +1.
Language: Haskell
Topics: assurance, autonomy, cfs, embedded-systems, flight-software, fprime
A fast, safe, and intuitive DataFrame library.
GitHub repository with 249 stars and 46 forks.
Trending score: 0.60; stars gained: +3; forks gained: +0.
Language: Haskell
Topics: dataframe, exploratory-data-analysis, functional-programming
Composable computational-science methodology skills for AI research agents — pre-registration over TDD. A science-domain reimplementation of Superpowers.
GitHub repository with 183 stars and 16 forks.
Trending score: 1.94; stars gained: +7; forks gained: +1.
Language: Shell
Topics: agent-skills, ai-agents, computational-science, preregistration, reproducible-research
🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- Maintained by CoPaper.AI from Stanford REAP.
GitHub repository with 1,684 stars and 250 forks.
Trending score: 1.77; stars gained: +73; forks gained: +10.
Language: Stata
Topics: academic-research, agent-skills, ai-agent, awesome-list, communication, economics
Insight Toolkit (ITK) -- Official Repository. ITK builds on a proven, spatially-oriented architecture for processing, segmentation, and registration of scientific images in two, three, or more dimensions.
GitHub repository with 1,621 stars and 731 forks.
Trending score: 0.32; stars gained: +1; forks gained: +0.
Language: C++
Topics: itk, insight-toolkit, image-analysis, medical-imaging, scientific-computing, open-science
papaja (Preparing APA Journal Articles) is an R package that provides document formats to produce complete APA manuscripts from RMarkdown-files (PDF and Word documents) and helper functions that facilitate reporting statistics, tables, and plots.
GitHub repository with 692 stars and 141 forks.
Trending score: 0.27; stars gained: +0; forks gained: +0.
Language: HTML
Topics: rmarkdown, apa, journal, apa-guidelines, psychology, r
Explore 119 AI agent skills for empirical research workflows, from data collection to analysis, writing, and review
GitHub repository with 5 stars and 0 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Topics: academic-research, agent-skills, ai-agent, communication, copaper, economics
Agentic SWMM is an automated, auditable, and memory-informed framework for reproducible stormwater modelling, integrating QGIS and EPA SWMM through the aiswmm runtime, reusable Skills, and MCP interfaces, with QA verification, provenance tracking, calibration support, and agent-runtime compatibility
GitHub repository with 10 stars and 4 forks.
Trending score: 0.05; stars gained: +0; forks gained: +0.
Language: Python
Topics: agentic-ai, gis, mcp, openclaw, reproducible-research, swmm