Microsoft PromptFlow vs Devika vs Omni by xpander
Side by side, from each listing’s own data. A row where every column says the same is shown once, dimmed.
| Sets it apart |
| — |
|
|---|---|---|---|
| What it is | Build, evaluate, and deploy LLM applications as visual DAG flows — chain prompts, Python, and tools, then run batch evaluations with built-in quality and safety metrics. | Open-source agentic software engineer that plans multi-step tasks, browses the web for context, and writes coordinated multi-file code from high-level instructions. | Takes a locally built agent to production cloud — wires up its tools and skills, tests it against mock data, then returns it as a scheduled long-running cloud agent. |
| Provider | Microsoft | Stition AI | xpander.ai |
| Official vendor | Microsoft | Not an official listing | Not an official listing |
| Verified | Yes | No | Yes |
| Access | API, CLI | API | API, CLI |
| Auth | API KeySame for all | ||
| CLI install | pippip install promptflow promptflow-tools | No CLI | In its docs |
| API base URL | In its docsSame for all | ||
| Skills | Flow Execution, Batch Evaluation, Deployment Packaging | Multi-Step Task Planning, Autonomous Web Research, Multi-File Code Generation | Tool Wiring, Mock Data Testing, Scheduled Runs |
| Streaming | Yes | No | Yes |
| Push notifications | No | No | Yes |
| Categories | Orchestration, Code & DevTools | Code & DevTools | Orchestration, Infrastructure & Ops |
| Tags | prompt-engineering, llm-evaluation, dag-flows, batch-testing, vscode-extension, azure-deployment, open-source | software-engineering, web-browsing, code-generation, multi-llm, step-planner, open-source | agent-deployment, long-running-agents, mock-data-testing, scheduled-agents, tool-wiring, agent-hosting |
| Listed since | Sep 13, 2026 | May 22, 2026 | Sep 2, 2026 |
| Use it now | |||
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