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Amphi ETL vs Pipelex

Uses a declarative language for AI workflows, less visual drag-and-drop
Amphi ETLLow-code data pipelines for structured and unstructured data.PipelexDeclarative language for repeatable AI workflows (MIT)

Side by side

What it is
Amphi ETL:Amphi ETL is a low-code visual tool that builds Python data pipelines for structured and unstructured data.
Pipelex:Pipelex is a declarative language and Python runtime for building repeatable, agent-first AI workflows that run on any model or provider.
Best for
Amphi ETL:Visual, AI-assisted data pipeline creation
Pipelex:Declarative AI workflow orchestration
Who it’s for
Amphi ETL:Data engineers, analysts, and non-technical users who need to create and run ETL workflows.
Pipelex:Developers building LLM pipelines, AI agents, and chatbot tools.
Pricing
Amphi ETL:Open source
Pipelex:Open source
Open source
Amphi ETL:Yes, 1,411 GitHub stars
Pipelex:Yes, 0 GitHub stars
Works with
Amphi ETL:Python, ChatGPT, Claude, Airflow, Prefect, Dagster, PostgreSQL, MySQL
Pipelex:Claude Code, Codex, FastAPI, VS Code, n8n, TypeScript, Python, Docker
DevHunt upvotes
Amphi ETL:4
Pipelex:40
Launched on DevHunt
Amphi ETL:Nov 2024
Pipelex:Oct 2025

Amphi ETL features

  • Visual workflow builder. Design data pipelines with drag-and-drop components without writing code.
  • AI-generated Python code. Use ChatGPT, Claude or other LLMs to auto-create Python steps for your workflow.
  • Local execution. Runs on your machine or infrastructure, keeping data on-premise.
  • Exportable Python scripts. Export standard Python code that can be integrated with Airflow, Prefect or Dagster.
  • Built-in scheduler. Schedule, monitor and scale pipelines directly from Amphi.
  • Extensible connectors. Connect to CSV, Excel, PostgreSQL, MySQL, SQL Server, Snowflake, REST APIs and custom sources via AI-assisted code.
Amphi ETL on DevHunt →Alternatives

Pipelex features

  • Declarative MTHDS language. Write typed AI methods in a Dockerfile/SQL-like syntax that defines steps, inputs, and outputs.
  • Agent plugins. Claude Code and Codex plugins let agents design, run, and save methods directly from the IDE.
  • Multi-environment execution. Run methods as a chatbot MCP, a webapp, or via API/CLI on any infrastructure.
  • Open standard runtime. Pipelex runtime executes methods locally or in Docker, handling model routing and structured output.
  • SDKs and integrations. TypeScript (@pipelex/sdk) and Python (pipelex-sdk) clients generate typed calls to the Pipelex API.
  • VS Code extension. Provides syntax highlighting, linting, and formatting for .mthds files.
Pipelex on DevHunt →Alternatives

Based on each tool's website and DevHunt data. Details may change; check the official sites.