CLI and library for explainable dependency intelligence
A pure functional rules engine to keep logic-dense code simple, reliable, understandable, and explainable.
Explainable security scanner for OpenClaw-style skills and MCP tool configs.
Official TypeScript client for Engram — durable, explainable memory for AI agents.
Explainable ASN.1 definition candidate resolver for DER fragments.
Explainable backend flows — automatic causal traces, decision evidence, and MCP tool generation for AI agents
Explainable sustainability equivalencies for water, electricity, carbon, and AI usage.
The explainable agent framework — build AI agents you can explain, audit, and trust. Built on footprintjs.
Zone � AI Code Agent: deterministic, explainable, safe
Universal repository diagnostic and security scanning tool with explainable AI
Semantic, composable, explainable regex patterns with TypeScript-first ergonomics
Toolset for Explainable and Sustainable CI on Gitlab.
Async-first browser and device fingerprinting library with explainable signals and anomaly scoring.
Production-grade AI memory infrastructure �?observable, explainable, secure, and LangChain/LlamaIndex ready
n8n community node for Engram by Lumetra — durable, explainable memory for AI agents.
MCP server for Compass DaaS - explainable dietary intelligence for AI agents
Engram memory tools for Inngest AgentKit. Drop into any createAgent() to give your agent durable, explainable memory.
AST-based Claude Code and Codex model router with token-cost estimates, CI policy checks, and explainable AI coding-agent model selection.
InterpretML EBM (Explainable Boosting Machine) compiled to WebAssembly -- interpretable ML in browsers and Node.js
Themeable React components for visualizing FootPrint pipeline execution
Token-aware prompt minifier with explainable diff. Shrinks LLM prompts and tells you exactly what changed.
A lightweight, explainable client-side experience runtime
A TypeScript SDK that turns product events into explainable churn risk scores.
Rule-based HS code classification engine — AI at build time, deterministic at runtime, offline-capable, explainable
A zero-overhead educational layer for Rust libraries.
Make Delta pruning visible. A CLI that shows step-by-step how partition pruning and data skipping reduce candidate files in a Delta table.
Stable-first Cargo subcommand for explaining saved build sessions
Core stable-first session capture and analysis for cargo-explain-build
Explain Substrait plans as human-readable text.
Wrap Diesel PostgreSQL queries in EXPLAIN and parse the plan into structured Rust types.
CLI tool to understand SemVer requirements by converting them to less-than, greater-than and/or equal-to form.
An AI coding agent hook that blocks destructive commands before they execute
Command-line tooling for Hopper account inspection, schema export, and migration planning
High-performance AI coding agent CLI - Rust port of Pi Agent
AI-assisted shell commands: create shell commands from natural language, or have them explained
Explain a given word, including its pronunciation, meanings, and sample sentences.
Extends ActiveRecord#explain with support for EXPLAIN ANALYZE and output formats of JSON, XML, and YAML.
Explains the presence of a dependency.
Parser for result of EXPLAIN of MySQL see: https://github.com/ainame/explain_parser
Gem adds an "analyze" method to all Active Record query objects. Compatible with PostgreSQL database.
Parser for Elasticserach Explain response
The Rails gem shows the output, in your application logs, of applying "Explain" or "Explain Analyze" to the select queries of your rails application.
By analysing your development.log, log_magic gives you insights about your services.
pg-eyeballs is a ruby gem that gives you detailed information about how the SQL queries created by the active record code you write are executed by the database. It gives you an easy, ruby friendly way to see the output of the Postgres EXPLAIN command and integrates with the popular query analysis tool gocmdpev
Explain explains your Ruby code in natural language.
Explainable outlier/anomaly detection for Ruby
Runs explain before each select query and displays results in an overlayed div
Log MySQL queries with EXPLAIN that may be slow.
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