---
title: "astron-rpa vs orloj"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/iflytek-astron-rpa-vs-orlojhq-orloj"
tools: ["iflytek-astron-rpa", "orlojhq-orloj"]
---

# astron-rpa vs orloj

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick astron-rpa if astron-rpa integrates AI agents for robust automation in various environments using Java, with a focus on data privacy and security compliance; pick orloj if orloj is an orchestration runtime for multi-agent AI systems that schedules and executes agents defined in YAML files.

[astron-rpa](http://www.iflyrpa.com) reports 5.5k GitHub stars, 598 forks, and 58 open issues, last pushed Sep 16, 2026. [orloj](https://orloj.dev) has 121 stars, 18 forks, and 39 open issues, last pushed Sep 11, 2026. Figures are from public GitHub metadata via [astron-rpa's repository](https://github.com/iflytek/astron-rpa) and [orloj's repository](https://github.com/OrlojHQ/orloj).

| | [astron-rpa](/tools/iflytek-astron-rpa.md) | [orloj](/tools/orlojhq-orloj.md) |
| --- | --- | --- |
| Tagline | Agent-ready RPA suite with automation tools for various environments | An orchestration runtime for multi-agent AI systems. |
| Stars | 5,542 | 121 |
| Forks | 598 | 18 |
| Open issues | 58 | 39 |
| Language | Python | Go |
| Adopt for | astron-rpa integrates AI agents for robust automation in various environments using Java, with a focus on data privacy and security compliance. | Orloj is an orchestration runtime for multi-agent AI systems that schedules and executes agents defined in YAML files. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 - The Apache License, Version 2.0 grants permission to use, study, change, and distribute the software -- commercially or non-commercially. |
| Categories | AI Agents, Developer Tools | AI Agents, Developer Tools |

## Trust and health

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

| | [astron-rpa](/tools/iflytek-astron-rpa.md) | [orloj](/tools/orlojhq-orloj.md) |
| --- | --- | --- |
| Days since push | 4d | 0d |
| Open issues (now) | 58 | 39 |
| Stars delta | -268 (30d) | +8 (30d) |
| Open issues delta | +15 (30d) | +1 (30d) |
| Full report | [trust report](/tools/iflytek-astron-rpa/trust.md) | [trust report](/tools/orlojhq-orloj/trust.md) |

## Decision facts: astron-rpa

- **Adopt for:** astron-rpa integrates AI agents for robust automation in various environments using Java, with a focus on data privacy and security compliance.

## Decision facts: orloj

- **Requirements:** The tool is designed with a strong emphasis on declarative system definitions and orchestration through YAML files.
- **Adopt for:** Orloj is an orchestration runtime for multi-agent AI systems that schedules and executes agents defined in YAML files.
- **License detail:** Apache-2.0 - The Apache License, Version 2.0 grants permission to use, study, change, and distribute the software -- commercially or non-commercially.

## Choose when

### Choose astron-rpa if…

- astron-rpa is primarily Python; orloj is Go.
- Tags unique to astron-rpa: agent, ai, astron, automation.
- For enterprises that prioritize security compliance and need self-hosted solutions to maintain control over their data.

### Choose orloj if…

- orloj is primarily Go; astron-rpa is Python.
- Requirements: The tool is designed with a strong emphasis on declarative system definitions and orchestration through YAML files..
- Tags unique to orloj: agent-framework, agentic-ai, agentic-orchestration, ai-agents.
- orloj ships Docker support for self-hosted deployment.
- You need an orchestration service specifically designed for managing interactions among multiple AI agents where production-grade operation is critical.

## When NOT to use astron-rpa

- If your team or organization is not comfortable working within the restrictions of Java, preferring multi-platform support or another programming language.
- For projects where immediate access to third-party APIs is crucial and self-hosted solutions may add unnecessary layers of complexity in integration.
- When strict operational requirements demand real-time task visibility that astron-rpa's architecture does not natively support without significant customization.

## When NOT to use orloj

- If your multi-agent system does not benefit from the YAML-based orchestration model or if you require a non-Go runtime environment.
- When governance functionalities for your AI systems are less critical as Orloj's governance capabilities might be overkill for simpler applications.

## Common questions

### What is the difference between astron-rpa and orloj?

astron-rpa: Agent-ready RPA suite with automation tools for various environments. orloj: An orchestration runtime for multi-agent AI systems.. See the comparison table for live GitHub stats and shared categories.

### When should I choose astron-rpa over orloj?

Choose astron-rpa over orloj when astron-rpa is primarily Python; orloj is Go; Tags unique to astron-rpa: agent, ai, astron, automation; For enterprises that prioritize security compliance and need self-hosted solutions to maintain control over their data.

### When should I choose orloj over astron-rpa?

Choose orloj over astron-rpa when orloj is primarily Go; astron-rpa is Python; Requirements: The tool is designed with a strong emphasis on declarative system definitions and orchestration through YAML files.; Tags unique to orloj: agent-framework, agentic-ai, agentic-orchestration, ai-agents; orloj ships Docker support for self-hosted deployment; You need an orchestration service specifically designed for managing interactions among multiple AI agents where production-grade operation is critical.

### When should I avoid astron-rpa?

If your team or organization is not comfortable working within the restrictions of Java, preferring multi-platform support or another programming language. For projects where immediate access to third-party APIs is crucial and self-hosted solutions may add unnecessary layers of complexity in integration. When strict operational requirements demand real-time task visibility that astron-rpa's architecture does not natively support without significant customization.

### When should I avoid orloj?

If your multi-agent system does not benefit from the YAML-based orchestration model or if you require a non-Go runtime environment. When governance functionalities for your AI systems are less critical as Orloj's governance capabilities might be overkill for simpler applications.

### Is astron-rpa or orloj more popular on GitHub?

astron-rpa has more GitHub stars (5,542 vs 121). Stars measure visibility, not whether either tool fits your constraints.

### Are astron-rpa and orloj open source?

Yes - both are open-source projects on GitHub (astron-rpa: Apache-2.0, orloj: Apache-2.0).

### Where can I find alternatives to astron-rpa or orloj?

GraphCanon lists graph-backed alternatives at [astron-rpa alternatives](/tools/iflytek-astron-rpa/alternatives) and [orloj alternatives](/tools/orlojhq-orloj/alternatives) ([astron-rpa markdown twin](/tools/iflytek-astron-rpa/alternatives.md), [orloj markdown twin](/tools/orlojhq-orloj/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/iflytek-astron-rpa-vs-orlojhq-orloj.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, astron-rpa or orloj?

astron-rpa: Very active. orloj: 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 astron-rpa and orloj?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [astron-rpa trust report](/tools/iflytek-astron-rpa/trust); [orloj trust report](/tools/orlojhq-orloj/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=iflytek-astron-rpa`](/api/graphcanon/graph?tool=iflytek-astron-rpa)
- 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/_
