ETLR

ETLR is an AI workflows as code tool that allows developers to build, version, and deploy production-grade automation using YAML. It integrates with over 25 tools and offers real-time observability.

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At a glance

Pricing

Freemium · Paid · Enterprise · Usage-based

Free tier

Yes

API

Skill level

Technical

About

What is ETLR?

ETLR is a platform designed for developers to create and manage AI workflows as code, moving beyond traditional drag-and-drop interfaces. It enables users to build, version, and deploy production-grade automation using YAML, offering a developer-first approach to workflow management. Key features include robust version control, Git-friendly YAML storage, one-command deployment, and comprehensive observability with real-time metrics, structured logs, and execution traces. ETLR integrates with over 25 tools and supports custom Python integrations, providing flexibility for complex scenarios like receiving webhooks, transforming data with custom code, and forwarding to external services. It aims to eliminate infrastructure configuration and queue management, allowing for instant deployment from code to production.

Best used for

Ideal for developers who need to build production-grade AI workflows, manage versions effectively, and deploy with ease. Especially valuable for those looking to move beyond drag-and-drop tools for more robust and scalable automation, integrating custom code and external services.

Common actions

automate workflows

deploy AI models

manage code versions

monitor workflow performance

integrate AI services

Capabilities

Key features

YAML workflow definition
Version control
One-command deployment
Real-time observability
Custom Python integrations
25+ integrations

Target Audience

developerdata scientistproduct manager

Integrations

openaislackgithubdiscordstripes3

Pricing & Plans

Freemium · Paid · Enterprise · Usage-based

Not publicly disclosed. Check etlr.io for current pricing.

FAQs

How does ETLR handle version control for workflows?

ETLR treats workflows like any other code, allowing them to be stored in your Git repository. Every deployment creates a new version, and you can track changes, review in PRs, and roll back to any previous version instantly via the UI or CLI.

What is the pricing model for ETLR and how do credits work?

ETLR offers a Freemium model with Free, Professional, and Enterprise plans. Pricing is credit-based, where one credit equals one workflow execution, regardless of the number of steps. Credits reset monthly and do not roll over.

Can I integrate custom Python code into my ETLR workflows?

Yes, ETLR supports custom Python integrations. You can run your own Python functions within workflows to normalize, validate, or transform data exactly as needed, providing extensive customization capabilities.

What kind of observability features does ETLR provide?

ETLR offers production-ready observability with built-in metrics, logs, and traces. You can monitor execution counts, success rates, and performance trends, view detailed structured logs for every step, and see step-by-step execution timelines.

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