dataflow is an all-in-one data preparation and training system that provides visual low-code pipelines for generating, cleaning, and refining high-quality data for AI. It addresses the time-consuming, labor-intensive, and costly process of preparing training data from noisy sources.
Project overview
dataflow combines ready-to-use data synthesis pipelines for text, math, and code data with an intelligent assistant that automatically orchestrates custom operators, reducing the manual effort required to produce high-quality LLM training datasets.
Deployment
Refer to project documentation
License
Apache-2.0
Best for
Data teams who need to generate, clean, and refine high-quality training data from noisy sources with reduced manual effort
AI engineers and developers who build RAG or QA systems and need to extract and structure knowledge from unorganized documents
Key capabilities
Provides high-quality training data generation including text, math, and code data generation via tools such as AgenticRAG and Text2SQL.
An intelligent assistant that performs data analysis, writes custom operators, and automatically orchestrates them into pipelines.
A visual pipeline builder with a web-based interface for building, managing, and running pipelines.
Extracts and structures knowledge from unorganized sources such as tables, PDFs, and Word documents into usable entries for RAG or QA.
Limitations and risks
LLM-based operators require an external LLM API such as the OpenAI API. Confirm that appropriate API access and credentials are available before using these operators.
The cost implications of running dataflow, including any costs associated with external LLM API usage, are not documented. Users should evaluate costs independently.
Telemetry behavior is not documented. Users who need to understand data collection or reporting behavior should investigate before adoption.
Getting started
Install the open-dataflow package via pip or uv to get started. The setup difficulty is rated easy because it is available via pip or Docker and provides a visual WebUI.