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It leverages the power of cutting-edge deep learning to enhance the world of file type detection. It provides increased accuracy and support for a comprehensive range of content types, outperforming traditional tools with 99%+ average precision and recall. | CI failures are painful to debug. SentinelQA gives you run summaries, flaky test detection, regression analysis, visual diffs and AI-generated action items. |
Available as a Python command line, a Python API, and an experimental TFJS version;
Trained on a dataset of over 25M files across more than 100 content types;
Achieves 99%+ average precision and recall, outperforming existing approaches;
After the model is loaded (this is a one-off overhead), the inference time is about 5ms per file | QA, DevOps, Test Intelligence, AI, Analytics, Test Debugging |
Statistics | |
GitHub Stars 8.9K | GitHub Stars - |
GitHub Forks 454 | GitHub Forks - |
Stacks 0 | Stacks 0 |
Followers 2 | Followers 1 |
Votes 0 | Votes 1 |
Integrations | |
| No integrations available | |

BrowserStack is the leading test platform built for developers & QAs to expand test coverage, scale & optimize testing with cross-browser, real device cloud, accessibility, visual testing, test management, and test observability.

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