Allye standard features available
Non Business purpose
Up to 5k records data size limit
Use your own Gemini API key
Public forum community support
1 month Free trial
Allye standard features available
Business purpose
No data size limitation
Use your own Gemini API key
Public forum community support
1 month Free trial
Advanced features available
Business purpose
Allye original api key option
Email support
All features available
Business purpose
Offline local LLM features
Private slack channel support
Allye's features(*) are implemented through the integration of the Allye kernel software with the orange data mining open-source.
* Nodes / features related to AI assistant, Python Notebook, DB connection, SQL Executor, Google Spread sheet, Causal Analysis, Pivot Table, Group By, Bar Plot, Line Plot widget ...etc are Allye kernel oriented.
Allye works in your local environment. Allye does not knowingly collect your raw data, ensuring that even highly sensitive data can be analyzed securely. Crucially, Allye does not collect your data unless you explicitly choose to share it through user settings.
However, to help the model generate Python code more effectively, you do have the option to share header information—such as column names— and sample data (5 rows) with the LLM. Furthermore, when using the AI Reporting feature to generate textual summaries of your statistical analysis, certain results—such as visualized charts and statistical metrics (e.g., p-values)—will be shared with the LLM. These are not stored permanently and are deleted immediately after use.
A key advantage is that you can use your own Gemini API key for the LLM integration. This means that if your company has built a secure LLM environment (such as a closed network or a private VPC), you can leverage it to exercise a higher degree of control over data leakage risks.
Moreover, Allye is developing a product that operates entirely locally, requiring no internet connection whatsoever. For customers seeking ultimate privacy, with absolutely no external data transmission, please contact us via the link above or the email address below for more details on this option.
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.
Most of 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.