What is 'Workflows as Code'?

It is an engineering approach where automation logic is defined in code (YAML) rather than a visual UI. This allows for version control, peer reviews, and automated testing.

Can I use my own Python scripts?

Yes, ETLR supports custom Python-transform steps, allowing you to run your own logic for data processing without needing external hosting.

Which AI models does ETLR support?

ETLR integrates with major providers including OpenAI, Google Gemini, and AWS Bedrock, allowing you to upgrade or switch models via simple YAML updates.

How does ETLR handle security?

ETLR includes secure environment variable management for API keys and secrets, ensuring your credentials are never exposed in your workflow code.

Is there a CLI available?

Yes, the ETLR CLI allows you to develop locally, manage secrets, and deploy workflows directly from your terminal or CI/CD pipelines.

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Workflows

Freemium

ETLR

Deploy production-grade AI workflows as code using YAML. Features Git-friendly versioning, real-time observability, and custom Python transformations without managing infrastructure.

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Rating

Reviews

Upvotes

3 months ago

Listed

Workflows

AI Automation

DevOps

Infrastructure as Code

Python

YAML

Webhooks

Observability

CI/CD

Tool information

Provider

Creu Labs

Platforms

Web

CLI

Languages

English

API Available

Yes

Added to directory

3 months ago

Last updated

about 2 months ago

Rating

Not available

Pricing

Freemium

About ETLR

What the tool does and who it's for

ETLR is a developer-first platform designed to build, version, and deploy AI workflows as code. By utilizing YAML-based configurations, it allows engineers to bypass traditional drag-and-drop interfaces in favor of a Git-friendly approach. The tool handles the complexities of infrastructure, providing built-in version control, real-time observability, and automated error tracking. Users can integrate various AI models like OpenAI and Google Gemini, utilize HTTP webhooks for real-time data collection, and perform custom data transformations using Python. It is built for reliability and engineering excellence, offering one-click rollbacks and structured logs for production-grade automation.

Key capabilities

Workflows as Code: Define complex AI logic using human-readable YAML files.

Git-Friendly: Version control your workflows in your own repository and review changes in PRs.

One-Command Deployment: Deploy workflows instantly via CLI without configuring servers or crons.

Real-Time Observability: Built-in metrics, structured logs, and execution traces for every run.

Custom Python Steps: Run arbitrary Python code for data transformation directly within the pipeline.

Automatic Versioning: Every deployment creates a new version with instant rollback capabilities.

Multi-Model Integration: Seamlessly switch between or combine OpenAI, Google Gemini, and other models.

Automated Error Detection: Proactive error tracking with stack traces and context for rapid debugging.

Pricing

Freemium — plans below

Free

Core workflow engine
CLI access
Basic integrations
Community support

Pro

Enterprise

Contact sales

SLA guarantees
Dedicated support
Custom integrations
Advanced security & RBAC

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Common questions about ETLR