Token-scale scientific discovery engine — autonomous hypothesis generation, experiment execution, and knowledge graph synthesis
A light-weight, flexible, and expressive statistical data testing library
Statsmodels: statistical modeling and econometrics in Python
The property-based testing library for Python
Catch API bugs before your users do
An alignment auditing agent capable of quickly exploring alignment hypothesis
Annotate with anyone, anywhere.
Hypothesis-like property testing for Rust
Enhancing {ggplot2} plots with statistical analysis 📊📣
DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing.
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
The Hypothesis web-based annotation client.
R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference
The Hypothesis browser extensions.
面向基本面因子研究的智能体-A hypothesis-driven AI agent for fundamental factor research, with evidence-gated validation and research memory.
Scientific hypothesis-discovery workbench: grounded hypothesis-evidence graphs, synthetic literature with planted causal chains, generate-debate-evolve loops over pluggable offline adapters, Elo tournaments recovering planted skill order, paraphrase dedup, Bayesian evidence accumulation, reproducible reports. NumPy core, CPU-only torch extra.
Claude Code RedTeam Skill — Hypothesis-Driven Cognitive Architecture。一个假设-证据驱动的红队skill
An open-source Agent Skill for problem framing and assumption testing across coding, debugging, architecture, scientific research, and product decisions.
Differential analysis tool for coding-free researchers – instant statistical results and charts, ready for your lab meeting. Just unzip and run! No-coding!
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基于 Price、Wieman 等人 29 Decisions 研究的科研决策 Skill:结合已有结果、可追溯方法与领域资料,解释下一步为什么值得做。支持多种 Agent Skills 宿主。Research decision support for STEM.