What is Amphi?

Amphi is an innovative, open-source data transformation platform designed to help teams automate and accelerate manual data tasks. With a visual, low-code interface, users can efficiently develop, manage, and operationalize data pipelines, significantly reducing development and maintenance time compared to traditional coding approaches. The platform supports integration from various data sources—such as files (CSV, JSON), databases, and lakehouses—providing a seamless environment for data extraction, preparation, transformation, and cleansing.

Amphi is built with flexibility at its core, enabling the generation of native Python code for custom deployment across on-premises and cloud environments. Combining privacy with community-driven features, all data is processed locally without being transferred to Amphi’s servers, ensuring full control and security. Its AI-native architecture integrates generative AI capabilities, adapting to modern use cases like retrieval-augmented generation (RAG) and supporting both novice and expert data practitioners.

Features

Visual Pipeline Development: Intuitive, low-code interface to create and manage data workflows
Automated Data Tasks: Streamlines extraction, preparation, transformation, and reporting
Python Code Generation: Exports pipelines as native, reusable Python code
Self-Service Data Preparation: Handles a variety of data formats including CSV, JSON, and common databases
Hybrid Deployment Flexibility: Supports on-premises and cloud deployments with no vendor lock-in
Local Data Processing: Ensures privacy and security by processing data locally
Community-Driven Collaboration: Pipeline definitions stored as files for easy sharing and collaboration
AI-Native Capabilities: Integrates generative AI to address advanced data and AI use cases

Use Cases

Automating routine ETL workflows in data engineering projects
Preparing and cleansing data from multiple sources for analysis
Generating Python-based data pipelines for deployment in various environments
Facilitating self-service data integration and preparation for business analysts
Operationalizing data enrichment and reporting tasks

FAQs

Is Amphi open source?

Yes, Amphi is a free and open-source platform, allowing users to self-host and customize their data workflows.
Can I deploy pipelines generated by Amphi in any environment?

Yes, Amphi generates native Python code, which can be deployed on-premises or in cloud environments for complete flexibility.
Does Amphi support data privacy?

All data is stored and processed locally, ensuring complete privacy without transferring information to Amphi's servers.
Who can use Amphi?

Amphi is designed for analysts, data scientists, data engineers, and developers seeking to accelerate data task automation and workflow management.
Which data formats are supported for integration?

Amphi supports common formats such as CSV, JSON, and integration with common databases.