mljar/supertree
Visualize decision trees in Python
GitHub repository with 538 stars and 20 forks.
Language: JavaScript
Topics: decision-trees, lightgbm, random-forest, xgboost
Visualize decision trees in Python
GitHub repository with 538 stars and 20 forks.
Language: JavaScript
Topics: decision-trees, lightgbm, random-forest, xgboost
2026-06-05: 538 stars and 20 forks.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
GitHub repository with 207,683 stars and 31,870 forks.
Trending score: 5.86; stars gained: +3,345; forks gained: +536.
Language: JavaScript
Topics: ai-agents, anthropic, claude, claude-code, developer-tools, llm
Unlimited FREE AI coding. Connect Claude Code, Codex, Cursor, Cline, Copilot, Antigravity to FREE Claude/GPT/Gemini via 40+ providers. Auto-fallback, RTK -40% tokens, never hit limits.
GitHub repository with 16,378 stars and 2,459 forks.
Trending score: 5.17; stars gained: +581; forks gained: +85.
Language: JavaScript
Marketing skills for Claude Code and AI agents. CRO, copywriting, SEO, analytics, and growth engineering.
GitHub repository with 31,984 stars and 5,261 forks.
Trending score: 4.56; stars gained: +526; forks gained: +62.
Language: JavaScript
Topics: claude, codex, marketing
Git. Ship. Done - Core
GitHub repository with 2,756 stars and 164 forks.
Trending score: 3.88; stars gained: +150; forks gained: +7.
Language: JavaScript
Topics: claude-code, context-engineering, meta-prompting, spec-driven-development
The library for web and native user interfaces.
GitHub repository with 245,594 stars and 51,165 forks.
Trending score: 3.60; stars gained: +51; forks gained: +6.
Language: JavaScript
Topics: javascript, react, frontend, declarative, ui, library
Codex++ tweak system for the Codex desktop app
GitHub repository with 2,852 stars and 128 forks.
Trending score: 3.50; stars gained: +63; forks gained: +5.
Language: JavaScript
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
GitHub repository with 18,427 stars and 4,023 forks.
Trending score: 1.09; stars gained: +9; forks gained: +2.
Language: C++
Topics: gbdt, gbm, machine-learning, data-mining, distributed, lightgbm
Create SQL that match your selection (with explainable AI), not the other way around
GitHub repository with 12 stars and 1 forks.
Trending score: 0.97; stars gained: +6; forks gained: +0.
Language: Python
Topics: decision-trees, explainable-ml, sql, streamlit, scikit-learn
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
GitHub repository with 8,972 stars and 1,295 forks.
Trending score: 0.49; stars gained: +2; forks gained: +0.
Language: C++
Topics: machine-learning, decision-trees, gradient-boosting, gbm, gbdt, python