misata

About misata

High-performance open-source synthetic data engine. Uses LLMs for schema design and vectorized NumPy for deterministic, scalable generation.

data-engineering data-generation database-seeding dbt developer-tools fake-data generative-ai llm mcp-server mock-data

Quick Facts

Stars	61
Forks	4
Language	Python
Category	MCP Server
License	MIT
Quality Score	52.0310638192928/100
Last Updated	2026-07-08
Created	2025-12-16
Platforms	mcp, python
Est. Tokens	~13k

Compatible Skills

These tools work well together with misata for enhanced workflows:

syda — semantic(0.48)+complementary+rare_topics+same_lang+similar_pop+shared_platform (76%)
dataops-observability-agents — semantic(0.38)+complementary+rare_topics+same_lang+similar_pop+shared_platform (68%)
synthadoc — semantic(0.24)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)
skills — semantic(0.31)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
databricks-template — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)

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Frequently Asked Questions

What is misata?

misata is High-performance open-source synthetic data engine. Uses LLMs for schema design and vectorized NumPy for deterministic, scalable generation.. It is categorized as a MCP Server with 61 GitHub stars.

What programming language is misata written in?

misata is primarily written in Python. It covers topics such as data-engineering, data-generation, database-seeding.

How do I install or use misata?

You can find installation instructions and usage details in the misata GitHub repository at github.com/rasinmuhammed/misata. The project has 61 stars and 4 forks, indicating an active community.

What license does misata use?

misata is released under the MIT license, making it free to use and modify according to the license terms.

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