5-Lens Empirical Quadrants & Non-Dominated Pareto Frontier
All 17 Facets (11) agent_development_orchestration ai_security_and_guardrails automation_ipaas_dag_durable embeddings_and_rerankers evaluation_and_regression_testing llm_frontier_cloud llm_open_weights_cloud memory_behavior_policies multimodal_vision_audio_3d observability_tracing_monitoring programmatic_prompt_workflow_optimization protocols_mcp_and_a2a rag_context_pipeline slm_cpu_edge_quantized team_simulation_provenance timeseries_foundation_models vector_and_transactional_storage
| Component | Facet | Quadrant & Frontier | Lens Scores | Cliff & WAR |
|---|---|---|---|---|
| Bytecode Alliance Wasmtime (Component Model) Bytecode Alliance |
team_simulation_provenance |
EMPIRICAL_LEADER PARETO | Exec: 99 · Fit: 96 · Wave: 96.7 | Cliff: 96% · WAR: +0.33 |
| SLSA Build Provenance v1.1 OpenSSF |
team_simulation_provenance |
EMPIRICAL_LEADER | Exec: 98 · Fit: 96 · Wave: 96.46 | Cliff: 96% · WAR: +0.29 |
| SPIFFE / SPIRE Workload Identity CNCF |
team_simulation_provenance |
EMPIRICAL_LEADER | Exec: 97 · Fit: 95 · Wave: 95.72 | Cliff: 95% · WAR: +0.29 |
| Software Heritage SWHID v1 Software Heritage / ISO 18670 |
team_simulation_provenance |
EMPIRICAL_LEADER PARETO | Exec: 99 · Fit: 96 · Wave: 95.6 | Cliff: 99% · WAR: +0.34 |
| C2PA Content Credentials C2PA Coalition |
team_simulation_provenance |
EMPIRICAL_LEADER | Exec: 95 · Fit: 94 · Wave: 94.28 | Cliff: 95% · WAR: +0.24 |
| E2B Firecracker Code Sandboxes E2B |
team_simulation_provenance |
EMPIRICAL_LEADER | Exec: 95 · Fit: 94 · Wave: 94.24 | Cliff: 93% · WAR: +0.28 |
| Daytona Isolated Dev Environments Daytona |
team_simulation_provenance |
EMPIRICAL_LEADER | Exec: 93 · Fit: 93 · Wave: 93.12 | Cliff: 93% · WAR: +0.25 |
| Mesa Agent-Based Modeling Project Mesa |
team_simulation_provenance |
EMPIRICAL_LEADER | Exec: 94 · Fit: 94 · Wave: 92.72 | Cliff: 93% · WAR: +0.23 |
| Google DeepMind Concordia Google DeepMind |
team_simulation_provenance |
EMPIRICAL_LEADER | Exec: 86 · Fit: 89 · Wave: 89.13 | Cliff: 82% · WAR: +0.22 |
| DyLAN (Dynamic LLM-Agent Network) THUNLP |
team_simulation_provenance |
OPERATIONAL_WORKHORSE | Exec: 83 · Fit: 80 · Wave: 87.14 | Cliff: 82% · WAR: +0.2 |
| GPTSwarm GPTSwarm Authors |
team_simulation_provenance |
OPERATIONAL_WORKHORSE | Exec: 82 · Fit: 79 · Wave: 86.5 | Cliff: 78% · WAR: +0.19 |