Amphi ETL
Low-code data pipelines for structured and unstructured data.
FreeOpen SourceNoCodeAnalytics7,011 impressions#10 of its week
Amphi ETL is a low-code visual tool that builds Python data pipelines for structured and unstructured data.
- for
- Data engineers, analysts, and non-technical users who need to create and run ETL workflows.
- pricing
- open source
- license
- open source
Key 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.
Use cases
- Prepare and clean CSV or Excel datasets for machine-learning models
- Synchronize data from on-premise databases to a data warehouse
- Build repeatable API-driven ingestion pipelines for analytics
- Generate Python ETL scripts that can be version-controlled and deployed with Airflow
Amphi ETL vs alternatives
 Amphi ETL |  BuildShip |  DataLine |  Pipelex |  Fastgen | |
|---|---|---|---|---|---|
| Best for | Visual, AI-assisted data pipeline creation | AI-powered visual backend creation | Fast data analysis and dashboards | Declarative AI workflow definition | No-code API/backend generation |
| Pricing | Open source | Free | Free | Free | Subscription |
| DevHunt upvotes | 4 | 118 | 41 | 40 | 95 |
| Launched | Nov 2024 | Jan 2023 | Aug 2024 | Oct 2025 | Jan 2023 |
- Amphi ETL vs BuildShip: Focuses on visual backend building for general apps, not specialized ETL pipelines
- Amphi ETL vs DataLine: Provides analytics and visualization rather than pipeline construction
- Amphi ETL vs Pipelex: Uses a declarative language for AI workflows, less visual drag-and-drop
- Amphi ETL vs Fastgen: No-code backend builder aimed at full APIs, not data-prep pipelines
Amphi ETL FAQ
Do I need to know Python to use Amphi?+
No. The visual interface lets non-technical users build full pipelines, while Python-savvy users can customize generated code.
Where does my data go? Is it secure?+
Amphi runs locally or in your own infrastructure, so data never leaves your environment; telemetry is optional.
Can I deploy Amphi workflows to production?+
Yes. Exported Python code can be used with orchestration tools like Airflow, Prefect, Dagster, or Amphi’s own scheduler.
What data sources are supported?+
CSV, Excel, PostgreSQL, MySQL, SQL Server, Snowflake, REST APIs, and custom connectors created via AI.
Is Amphi open source?+
Amphi is source-available under the ELv2 license; you may use, modify, and host it yourself, but not offer a competing commercial service.
Summarized by DevHunt from amphi.ai · Sep 29, 2026. Details may change; check the official site.
