Make vs Astron-rpa
AstronRPA is a credible open-source alternative when the priority is self-hosted, Windows-centered desktop and browser RPA. It offers visual workflow design, UI automation, scheduling, API/MCP triggers, and agent interoperability. Make remains the stronger choice for cloud-oriented orchestration across a broad catalog of SaaS applications: AstronRPA documents 300+ atomic capabilities, while Make’s supplied profile is

Decision guide
The practical reasons to choose either option, based on documented capabilities.
Choose Astron-rpa if
- Organizations requiring an Apache-2.0, self-hosted automation platform
- Teams automating Windows 10/11 desktop applications, browsers, Office documents, ERP interfaces, and GUI interactions
- Operators needing scheduled, direct, API-triggered, or MCP-exposed RPA workflows with terminal monitoring and robot-team sharing
Stay with Make if
- Workflows depend on Make’s catalog of more than 3,000 pre-built app integrations; AstronRPA documents 300+ atomic RPA capabilities instead, which is not equivalent connector coverage
- Teams need a primarily cloud-based, cross-SaaS automation service rather than Windows desktop and browser RPA
- Existing Make workflows must be preserved directly; the supplied AstronRPA material documents no Make importer, workflow converter, or compatible interchange format
Deployment and operations
AstronRPA is Apache-2.0 licensed and self-hostable. Its server stack is deployed with Docker Compose; no Kubernetes deployment is documented. The desktop client primarily supports Windows 10/11 and requires at least 8 GiB RAM. Users can download a release package or build from source using Node.js 22+, Python 3.13.x, JDK 8+, pnpm 9+, UV 0.8+, 7-Zip, and SWIG. The repository says iFlytek develops and maintains the project, while operators remain responsible for deployment and production hardening
Feature fit
What Astron-rpa covers
- Visual workflow construction
- Multi-step automation execution
- Application and data interaction
- API and MCP integration
- AI-agent interoperability
- Scheduled workflow execution
What’s different or missing
- No documented Make workflow importer
- No documented 3,000-plus app connector catalog
- No documented Make template compatibility
- No documented SOC 2, SOC 3, GDPR, or SSO parity
- No documented Kubernetes deployment
Project snapshot
- GitHub stars
- 5,780
- Contributors
- 25
- Language
- Java
- Last commit
- Aug 12, 2026
- Latest release
- Feb 25, 2026
Categories: Workflow Automation
Sources and editorial review12 linked sources
Public documentation supports this comparison. Automation assists collection and classification; editorial standards and corrections remain the responsibility of Kris.
Agent-ready RPA suite with out-of-the-box automation tools. Built for individuals and enterprises.
repository description · github.comAstronRPA is an enterprise-grade Robotic Process Automation (RPA) desktop application.
readme · github.com300+ pre-built atomic capabilities covering UI operations, data processing, and system interactions.
readme · github.comSupports direct execution, scheduled tasks, scheduling modes, API calls, and MCP services.
readme · github.comUsers can directly call RPA workflow nodes in Astron Agent, and also use Agent workflows in AstronRPA.
readme · github.comServer: Deploy with Docker
readme · github.comAstronRPA is an enterprise-grade Robotic Process Automation (RPA) desktop application. Through a visual designer, it supports low-code/no-code development, enabling users to rapidly build workflows and automate desktop software and web pages.
verdict · github.comSupports direct execution, scheduled tasks, scheduling modes, API calls, and MCP services.
best for · github.com### **Server**: Deploy with Docker Recommended for quick deployment:
deployment · github.com- 💻 **Client Operating System**: Windows 10/11 (primary support) - 🧠 **RAM** >= 8 GiB
deployment · github.comUsers can directly call RPA workflow nodes in Astron Agent, and also use Agent workflows in AstronRPA, achieving efficient collaboration between automation processes and intelligent agent systems, empowering broader business automation scenarios.
shared feature · github.com300+ pre-built atomic capabilities covering UI operations, data processing, and system interactions.
consider original · github.com








