Magika vs Vivgrid — Build, Evaluate & Deploy AI Agents with Confidence
Overview
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Detailed Comparison
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. | Vivgrid is an AI agent infrastructure platform that helps developers and startups build, observe, evaluate, and deploy AI agents with safety guardrails and global low-latency inference. Support for GPT-5, Gemini 2.5 Pro, and DeepSeek-V3. Start free with $200 monthly credits. Ship production-ready AI agents confidently. |
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 | AI Evaluation, AI agent platform, AI pipeline, AI collabration |
Statistics | |
GitHub Stars 8.9K | GitHub Stars - |
GitHub Forks 454 | GitHub Forks - |
Stacks 0 | Stacks 1 |
Followers 2 | Followers 1 |
Votes 0 | Votes 1 |
Integrations | |
| No integrations available | |
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