题库 PDF 进 · 随机抽题出 —— 非结构化题库 PDF 的结构化抽取 + 智能刷题系统(规则优先 + LLM 兜底 / 三池加权抽题 / Leitner 间隔重复 / 带引用讲解)
The Open Context Layer for Data and AI , OpenMetadata is the open platform for building trusted data context and business semantics for humans, AI assistants, and agents.
Always know what to expect from your data.
Refine high-quality datasets and visual AI models
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
The Open Source Feature Store for AI/ML
lakeFS - Data version control for your data lake | Git for data
Data Contracts engine for the modern data stack. https://www.soda.io
Scalable data pre processing and curation toolkit for LLMs
Open-source ETL/ELT you deploy on your own servers or cloud. Built on DuckDB: no-code/low-code visual pipelines or SQL, 385 components, dbt, CDC, data quality, reverse ETL, lineage, MCP for AI agents. No vendor cloud, no per-row billing.
First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.
Open-source data contract testing for Snowflake, Databricks, BigQuery, Kafka & 15 more. Built on the Open Data Contract Standard (ODCS). MIT.
A platform-neutral analytical Skill that profiles messy data, selects case-adaptive methods, and produces source-backed visual reports for high-stakes decisions.
Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool
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SDK for robotics teams to verify the quality of their data used for AI model training.
Track 33,707+ AI benchmark, eval, dataset, and data-quality records from 40 public sources, with linked evidence and daily updates.
Python SDK for Microsoft Purview Unified Catalog APIs, supporting data products, business domains, glossary terms, CDEs, relationships, OKRs, policies, and data quality automation.
MCP-based discovery and judgment layer for Korea’s open data portal—helping AI agents find, compare, and assess datasets with explicit evidence, JSON-LD/DCAT metadata, and versioned deterministic rules.
Draft a company ontology from an uploaded table or document, verify it against every row in code, and keep the person's judgement so the next upload of the same file starts from it
DeepSeek Harness plugin: deterministic data profiling, cleaning, and verification (dsh-data-quality)
36 data-engineering skills for AI coding agents — dbt, Airflow, Dagster, Prefect, Spark, Snowflake, BigQuery, Databricks, Kafka, Iceberg. Portable SKILL.md Agent Skills (the format Anthropic launched as Claude Skills), with idempotency, backfill, and data-quality know-how. Runs in Claude Code, Cursor, Codex, Copilot, Gemini CLI and more.