The State of the SBOM Tool Ecosystems: A Comparative Analysis of SPDX and CycloneDX
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A Software Bill of Materials (SBOM) provides transparency by documenting software component metadata and dependencies. However, SBOM adoption depends on tool ecosystems. With two dominant formats: SPDX and CycloneDX - the ecosystems vary significantly in maturity, tool support, and community engagement. We conduct a quantitative comparison of use cases for 170 publicly advertised SBOM tools, identifying enhancement areas for each format. We compare health metrics of both ecosystems (171 CycloneDX versus 470 SPDX tools) to evaluate robustness and maturity. We quantitatively compare 36,990 issue reports from open-source tools to identify challenges and development opportunities. Finally, we investigate the top 250 open-source projects using each tool ecosystem and compare their health metrics. Our findings reveal distinct characteristics: projects using CycloneDX tools demonstrate higher developer engagement and certain health indicators, while SPDX tools benefit from a more mature ecosystem with broader tool availability and established industry adoption. This research provides insights for developers, contributors, and practitioners regarding complementary strengths of these ecosystems and identifies opportunities for mutual enhancement.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it