Pipevals – a visual pipeline builder for evaluation-driven AI
Hey HN! Pipevals is early and rough (this is a learning project), but usable. It currently lets you: - build evaluation pipelines as graphs - run them against datasets - track how output quality changes over time
Pipevals – a visual pipeline builder for evaluation-driven AI launched on March 20, 2026 with 6 votes, #1,631 of 23,380 launches that month and more than 75% of that year's launches.
What it does
Pipevals is the visual pipeline builder for evaluation-driven AI development. Build evaluation graphs. Run them against datasets. Track quality over time. - pipevals/pipevals
Does a similar job
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Early-stage Yahoo Pipes spiritual successor2017 · pipes.digital · ▲280Get and manipulate data with a visual programming interface.

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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