---
title: "hop vs argo-workflows"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/apache-hop-vs-argoproj-argo-workflows"
tools: ["apache-hop", "argoproj-argo-workflows"]
---

# hop vs argo-workflows

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick hop if hop is a Java-based orchestration platform focused on data integration and workflow management, making it suitable for organizations that require robust ETL processes and are comfortable with the Java ecosystem; pick argo-workflows if argo Workflows, an open-source workflow engine for Kubernetes implemented as a CRD, is popular due to its lightweight design, scalability, and extensive artifact support.

[hop](https://hop.apache.org/) reports 1.5k GitHub stars, 477 forks, and 430 open issues, last pushed Sep 19, 2026. [argo-workflows](https://argo-workflows.readthedocs.io/) has 17k stars, 3.6k forks, and 1.3k open issues, last pushed Sep 3, 2026. Figures are from public GitHub metadata via [hop's repository](https://github.com/apache/hop) and [argo-workflows's repository](https://github.com/argoproj/argo-workflows).

| | [hop](/tools/apache-hop.md) | [argo-workflows](/tools/argoproj-argo-workflows.md) |
| --- | --- | --- |
| Tagline | A Java-based orchestration platform for data integration and workflow management | Workflow Engine for Kubernetes |
| Stars | 1,469 | 16,956 |
| Forks | 477 | 3,643 |
| Open issues | 430 | 1,269 |
| Language | Java | Go |
| Adopt for | Hop is a Java-based orchestration platform focused on data integration and workflow management, making it suitable for organizations that require robust ETL processes and are comfortable with the Java ecosystem. | Argo Workflows, an open-source workflow engine for Kubernetes implemented as a CRD, is popular due to its lightweight design, scalability, and extensive artifact support. |
| Persona | - | - |
| Runtime | - | - |
| License | Under the Apache-2.0 license, users are granted permissive rights to use, study, change, and distribute the software for any purpose. | Apache-2.0 |
| Categories | Developer Tools | Developer Tools, Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [hop](/tools/apache-hop.md) | [argo-workflows](/tools/argoproj-argo-workflows.md) |
| --- | --- | --- |
| Open issues (now) | 430 | 1.3k |
| Stars delta | +34 (30d) | +89 (30d) |
| Open issues delta | -49 (30d) | -52 (30d) |
| Full report | [trust report](/tools/apache-hop/trust.md) | [trust report](/tools/argoproj-argo-workflows/trust.md) |

## Decision facts: hop

- **Pricing:** freemium - As an open-source tool under the Apache-2.0 license, Hop is free to download and use. However, additional support or services might come at a cost.
- **Requirements:** Java development environment must be set up for using Hop.
- **Adopt for:** Hop is a Java-based orchestration platform focused on data integration and workflow management, making it suitable for organizations that require robust ETL processes and are comfortable with the Java ecosystem.
- **License detail:** Under the Apache-2.0 license, users are granted permissive rights to use, study, change, and distribute the software for any purpose.

## Decision facts: argo-workflows

- **Adopt for:** Argo Workflows, an open-source workflow engine for Kubernetes implemented as a CRD, is popular due to its lightweight design, scalability, and extensive artifact support.

## Choose when

### Choose hop if…

- hop is primarily Java; argo-workflows is Go.
- Pricing: As an open-source tool under the Apache-2.0 license, Hop is free to download and use. However, additional support or services might come at a cost..
- Requirements: Java development environment must be set up for using Hop..
- Tags unique to hop: apache, data-integration, etl, java.
- - When your organization primarily uses the Java programming language for development.

### Choose argo-workflows if…

- argo-workflows is primarily Go; hop is Java.
- Tags unique to argo-workflows: cloud-native, machine-learning, mlops, pipelines.
- Also covers Model Training.
- argo-workflows ships Docker support for self-hosted deployment.
- When orchestrating container-native workflows for tasks like machine learning or data processing on Kubernetes

## When NOT to use hop

- - When the team lacks experience in Java and has a preference for languages like Python for workflow orchestrations.
- - If project requirements align more closely with cloud-specific tools that offer deeper integrations than Hop can provide.
- - In scenarios where real-time data streaming is critical, as alternatives might have stronger capabilities.

## When NOT to use argo-workflows

- In non-Kubernetes environments due to its tight integration with Kubernetes CRDs and native features
- For legacy system migrations that require significant VM and server-based overheads, as Argo Workflows is container-centric without such layers

## Common questions

### What is the difference between hop and argo-workflows?

hop: A Java-based orchestration platform for data integration and workflow management. argo-workflows: Workflow Engine for Kubernetes. See the comparison table for live GitHub stats and shared categories.

### When should I choose hop over argo-workflows?

Choose hop over argo-workflows when hop is primarily Java; argo-workflows is Go; Pricing: As an open-source tool under the Apache-2.0 license, Hop is free to download and use. However, additional support or services might come at a cost.; Requirements: Java development environment must be set up for using Hop.; Tags unique to hop: apache, data-integration, etl, java; - When your organization primarily uses the Java programming language for development.

### When should I choose argo-workflows over hop?

Choose argo-workflows over hop when argo-workflows is primarily Go; hop is Java; Tags unique to argo-workflows: cloud-native, machine-learning, mlops, pipelines; Also covers Model Training; argo-workflows ships Docker support for self-hosted deployment; When orchestrating container-native workflows for tasks like machine learning or data processing on Kubernetes.

### When should I avoid hop?

- When the team lacks experience in Java and has a preference for languages like Python for workflow orchestrations. - If project requirements align more closely with cloud-specific tools that offer deeper integrations than Hop can provide. - In scenarios where real-time data streaming is critical, as alternatives might have stronger capabilities.

### When should I avoid argo-workflows?

In non-Kubernetes environments due to its tight integration with Kubernetes CRDs and native features For legacy system migrations that require significant VM and server-based overheads, as Argo Workflows is container-centric without such layers

### Is hop or argo-workflows more popular on GitHub?

argo-workflows has more GitHub stars (16,956 vs 1,469). Stars measure visibility, not whether either tool fits your constraints.

### Are hop and argo-workflows open source?

Yes - both are open-source projects on GitHub (hop: Apache-2.0, argo-workflows: Apache-2.0).

### Where can I find alternatives to hop or argo-workflows?

GraphCanon lists graph-backed alternatives at [hop alternatives](/tools/apache-hop/alternatives) and [argo-workflows alternatives](/tools/argoproj-argo-workflows/alternatives) ([hop markdown twin](/tools/apache-hop/alternatives.md), [argo-workflows markdown twin](/tools/argoproj-argo-workflows/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/apache-hop-vs-argoproj-argo-workflows.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, hop or argo-workflows?

hop: Very active. argo-workflows: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for hop and argo-workflows?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [hop trust report](/tools/apache-hop/trust); [argo-workflows trust report](/tools/argoproj-argo-workflows/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=apache-hop`](/api/graphcanon/graph?tool=apache-hop)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
