Data as of Sep 29, 2026 · Based on 17,868 AI responses · See how Parse measures this
OpenFL is a Python framework for federated learning designed to train and validate machine learning models on sensitive data without sharing it with a central server.
Hosted on GitHub
<1%No change
of AI answers about OpenFL and its rivals. Last 30 days
The market map · 5 of 80 labelled
AI Compute Infrastructure SolutionsMentioned in · last 30 days
“OpenFL is great for cross-silo, integrates strongly with Intel SGX (Software Guard Extensions) hardware enclaves.”
“OpenFL — mature option for secure, distributed institutional training, with support for confidential-computing approaches such as Intel SGX.”
“OpenFL — worth considering for enterprise/controlled edge environments”
Last 30 days
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AI mentioned OpenFL in <1% of answers about OpenFL and its rivals in the last 30 days.
ChatGPT Search mentions OpenFL in <1% of its answers to OpenFL's market questions, Google AI Mode in <1%.
AI answers compare OpenFL with Flower.
Where OpenFL ranks in AI · last 30 days
Rank
Week of Sep 21–27
AI rates OpenFL worse than rivals on customer service
Excerpts where OpenFL appeared in the AI's answer
OpenFL is great for cross-silo, integrates strongly with Intel SGX (Software Guard Extensions) hardware enclaves.
OpenFL — mature option for secure, distributed institutional training, with support for confidential-computing approaches such as Intel SGX.
Excerpts where OpenFL appeared in the AI's answer
OpenFL (Open Federated Learning): Hosted by the Linux Foundation and originally developed by Intel
OpenFL is another open-source framework, originally developed by Intel
Excerpts where OpenFL appeared in the AI's answer
OpenFL — worth considering for enterprise/controlled edge environments