Ambrosia is a Python library for A/B tests design, split and result measurement
GitHub repository with 243 stars and 19 forks.
Language: Python
Topics: ab-testing, experiment-design, split-testing, statistical-inference, statistics
Trending score 0.04, activity score 0.04, stars gained +0, forks gained +0.
2026-06-02: 243 stars and 19 forks.
🦔 PostHog is an all-in-one developer platform for building successful products. We offer product analytics, web analytics, session replay, error tracking, feature flags, experimentation, surveys, data warehouse, a CDP, and an AI product assistant to help debug your code, ship features faster, and keep all your usage and customer data in one stack.
GitHub repository with 34,857 stars and 2,820 forks.
Trending score: 2.85; stars gained: +44; forks gained: +8.
Language: Python
Topics: ab-testing, ai-analytics, analytics, cdp, data-warehouse, experiments
A Python package for the statistical analysis of A/B tests
GitHub repository with 328 stars and 10 forks.
Trending score: 0.09; stars gained: +0; forks gained: +0.
Language: Python
Topics: ab-testing, cuped, delta-method, statistics, t-test
Ambrosia is a Python library for A/B tests design, split and result measurement
GitHub repository with 243 stars and 19 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: ab-testing, experiment-design, split-testing, statistical-inference, statistics
Step-by-step causal inference — method selection, assumptions, and robustness checks
GitHub repository with 28 stars and 3 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: ab-testing, business-intelligence, causal-inference, causal-reasoning, causality-analysis, dag
Autonomous experimentation engine for AI engineering decisions — runs as a Claude Code skill. Define a goal + candidates + threshold, get a defensible ship-or-kill verdict in hours.
GitHub repository with 5 stars and 0 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: ab-testing, ai-agents, claude-code, claude-skill, evaluation-framework, experiment-tracking
AI-powered interview coach for Data Analyst / AE roles. 35 questions: SQL, Behavioral, Project Deep, Stats & A/B Testing. Claude API streaming + prompt caching. Rich CLI + Streamlit dashboard. Docker + HF Spaces.
GitHub repository with 6 stars and 0 forks.
Trending score: 0.03; stars gained: +0; forks gained: +0.
Language: Python
Topics: ab-testing, claude-api, data-analyst, docker, huggingface-spaces, interview-prep
The agent that grows with you
GitHub repository with 181,262 stars and 31,100 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 12,855 stars and 828 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GitHub repository with 27,320 stars and 2,248 forks.
Trending score: 5.52; stars gained: +1,079; forks gained: +89.
Language: Python
Topics: academic-pipeline, academic-writing, ai-research, claude, claude-code, literature-review
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
GitHub repository with 140,059 stars and 20,110 forks.
Trending score: 5.04; stars gained: +317; forks gained: +58.
Language: Python
Topics: ollama, ollama-webui, llm, webui, self-hosted, llm-ui
LLM驱动的 A/H/美股智能分析：多数据源行情 + 实时新闻 + LLM决策仪表盘 + 多渠道推送，零成本定时运行，纯白嫖. LLM-powered stock analysis system for A/H/US markets.
GitHub repository with 40,774 stars and 38,952 forks.
Trending score: 4.88; stars gained: +836; forks gained: +443.
Language: Python
Topics: a-stock, ai-agent, aigc, llm, quant, quantitative-finance
GitHub repository with 29,986 stars and 4,219 forks.
Trending score: 4.88; stars gained: +688; forks gained: +114.
Language: Python
🦔 PostHog is an all-in-one developer platform for building successful products. We offer product analytics, web analytics, session replay, error tracking, feature flags, experimentation, surveys, data warehouse, a CDP, and an AI product assistant to help debug your code, ship features faster, and keep all your usage and customer data in one stack.
GitHub repository with 34,857 stars and 2,820 forks.
Trending score: 2.85; stars gained: +44; forks gained: +8.
Language: Python
Topics: ab-testing, ai-analytics, analytics, cdp, data-warehouse, experiments
Open Source Feature Flags, Experimentation, and Product Analytics
GitHub repository with 7,851 stars and 761 forks.
Trending score: 1.04; stars gained: +11; forks gained: +3.
Language: TypeScript
Topics: ab-testing, abtest, abtesting, analytics, bigquery, clickhouse
Feature Flag Management and A/B Testing platform
GitHub repository with 475 stars and 35 forks.
Trending score: 0.27; stars gained: +0; forks gained: +0.
Language: Go
Topics: feature-flags, ab-testing, data-driven, experiments, feature-toggles, bucketeer
A Python package for the statistical analysis of A/B tests
GitHub repository with 328 stars and 10 forks.
Trending score: 0.09; stars gained: +0; forks gained: +0.
Language: Python
Topics: ab-testing, cuped, delta-method, statistics, t-test
Ambrosia is a Python library for A/B tests design, split and result measurement
GitHub repository with 243 stars and 19 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: ab-testing, experiment-design, split-testing, statistical-inference, statistics
Step-by-step causal inference — method selection, assumptions, and robustness checks
GitHub repository with 28 stars and 3 forks.
Trending score: 0.04; stars gained: +0; forks gained: +0.
Language: Python
Topics: ab-testing, business-intelligence, causal-inference, causal-reasoning, causality-analysis, dag