SBOM Generation on 51 real-world Python applications (deployment environments)
100Component PrecisionMEM-SBOM
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| MEM-SBOM2026.06 | 100 | 0 | 0 | 99.32 | 100 | 100 | 100 | |
| Syft2026.06 | 94.81 | 0.9 | 4.29 | 99.96 | 73.81 | 71.76 | 62.24 | |
| CycloneDX-Python2026.06 | 90.9 | 4.45 | 4.65 | 99.98 | 72.23 | 75.52 | 71.66 | |
| CDXGen2026.06 | 76.55 | 17.69 | 5.76 | 52.11 | 48.05 | 54.89 | 49.63 | |
| PIP-SBOM2026.06 | 73.42 | 21.96 | 4.61 | 65.22 | 27.9 | 34.15 | 20.09 |