Allye works locally, requiring no internet connection whatsoever. Allye does not collect your data unless you explicitly choose to share it, ensuring that even highly sensitive data can be analyzed securely.
‍
However, when using Allye’s AI-powered features with Allye Backend (not ollama)—such as the Canvas Agent or Notebook Agent—certain limited portions of your data (e.g., column names, variable types, and sample rows) as well as analysis outputs (e.g., statistical summaries or visualized chart values) will be shared with the LLM. These data are used solely for generating AI workflows, reports, and Python code. They are not stored, logged, or retained, and are automatically deleted immediately after use.
‍
Please refer to our privacy policy for further details.

If an error occurs while building a workflow in Allye, a confirmation dialog will appear asking whether you’d like to send the error log to us. The log is only shared with us if you give explicit permission, and it will be used solely to help improve the product. Your raw data and any Python code used for analysis remain strictly within your local environment and are never stored elsewhere. In addition, we store and manage user account registration information.

Not at all. Allye is designed to be fully usable without any coding skills. You can build workflows using a no-code interface. However, for advanced users, there is also the flexibility to write or edit Python code as needed.

Allye’s core features run entirely offline in your local environment, so no internet connection is required. However, features that rely on AI models—such as code generation or automated report writing—may require a temporary internet connection when used.

Yes. You can save your workflows locally and reopen them anytime. Allye also allows you to reuse and share workflows easily, making it convenient to replicate or collaborate on analysis.