← 최신 프로덕트

Misata

synthetic data engine using LLM and Vectorized NumPy. Declarative synthetic data for Python. State the facts a dataset must hold (monthly revenue, channel shares, balanced ledgers, foreign keys, state machines) and get multi-table data that holds them exactly, with a DuckDB certificate anyone can rerun. From YAML, SQL DDL or a sentence. CLI and MCP server. I built Misata because existing tools (Faker, Mimesis) are great for random rows but terrible for relational or temporal integrity.

CLI오픈소스

72 스타 · GitHub외부 사이트

github.com 방문외부 사이트

반응 (1)

비슷한 프로덕트

설명이 비슷한 순

  1. DDL to Data

    news.ycombinator.com

    Generate realistic test data from SQL schemas

    Hacker News55점

  2. Xsql

    github.com

    Convert SQL Schemas Across MySQL, Postgres, and SQLite

    Hacker News11점

  3. I built an open-source data pipeline tool in Go

    github.com

    Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.

    Hacker News200점

  4. New kind of data notebook for SQL

    hyperquery.ai

    Python, and viz

    Hacker News12점

  5. Curator

    github.com

    an open-source library for synthetic data generation

    Hacker News13점