
Engraph
The automated tool for your ETL pipelines
Engraph launched on March 15, 2023 with 8 votes, #1,999 of 5,007 launches that month and more than 50% of that year's launches. The site was not reachable when checked in September 2026.
What it does
We're automating the ETL pipeline building process, from ad hoc to large organizations. Our platform uses natural language processing to enable users to ask questions about their organization's data, eliminating the need for a lengthy data-request process.
Does a similar job
all alternatives →- EAEngraph – Automated ETL Pipelines2023 · ▲5
Hey HN, we’re Ross and Javier, co-founders of Engraph (www.engraph.ai). Our goal is to completely automate the process of building ETL pipelines, from ad hoc pipelines for question answering to fully fledged ETL pipelines within large organisations: For ad hoc pipelines, a question answering platform which enables users to ask questions in natural language about their organisation's data. Traditionally, access to data within organisations is limited to a handful of data-engineers. This means that if an employee needs access to some data, they have to go through a lengthy process of…


Pipelex – Declarative language for repeatable AI workflowsOct 2025 · github.com · ▲122We’re Robin, Louis, and Thomas. Pipelex is a DSL and a Python runtime for repeatable AI workflows. Think Dockerfile/SQL for multi-step LLM pipelines: you declare steps and interfaces; any model/provider can fill them. Why this instead of yet another workflow builder? - Declarative, not glue code: you state what to do; the runtime figures out how. - Agent-first: each step carries natural-language context (purpose, inputs/outputs with meaning) so LLMs can follow, audit, and optimize. Our MCP server enables agents to run pipelines but also to build new pipelines on demand. - Open…

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