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Managed Apache Airflow service for orchestrating and monitoring data pipelines in the cloud
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Lightweight Go workflow orchestrator for payments and fulfillment
Polaris lets Go developers define, store, and execute complex, long‑running workflows with automatic step sequencing, concurrency handling, and built‑in pausing, ideal for payment and e‑commerce processes.

Polaris is a Go‑native workflow orchestrator designed for developers building payment, e‑commerce, and fulfillment services. By defining workflows as Go structs, teams can keep business logic close to code while the engine automatically determines execution order, runs independent steps concurrently, and pauses when a step lacks required data.
Each step is implemented as a reusable builder that declares its input and output types, enabling shared components such as tokenization or invoice generation across multiple workflows. Polaris runs with a minimal footprint, requires no external services, and can be embedded directly into existing Go applications or deployed as a lightweight microservice. Its GPL‑2.0 license makes the source freely available, while the clear API simplifies testing and integration with external services like databases or third‑party payment gateways.
When teams consider Polaris, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
Card payment processing
Orchestrates initiation, encryption, tokenization, OTP verification, and invoice generation in a single reusable workflow.
Netbanking payment flow
Handles redirect, bank interaction, OTP verification, and post‑payment invoicing with shared builders.
Invoice generation after payment
Reuses the GenerateInvoice builder across multiple payment methods, ensuring consistent invoicing.
Order fulfillment pipeline
Coordinates inventory check, shipment creation, and notification steps with automatic concurrency where possible.
Polaris is implemented in Go and workflows are defined using Go structs and interfaces.
When a builder cannot find the required input data, the engine pauses the workflow until the data becomes available.
Yes, builders are designed to be reusable components that can be referenced in multiple workflow definitions.
Polaris itself does not include a persistence layer; state can be stored using external services integrated by the builders.
It can be embedded as a library within a Go application or run as a lightweight microservice alongside other services.
Project at a glance
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