Head-to-head
EvalGuard vs Weights & Biases.
ML experiment tracking platform with LLM featuresWeights & Biases (W&B) is the leading ML experiment tracking platform with recent LLM evaluation features via Weave.
5
EvalGuard wins
2
Ties
2
Weights & Biases wins
across the 10-row feature matrix · 1 row unverified, counted for neither side · see “where Weights & Biases leads” below
Competitor data (GitHub stars, downloads, feature counts, funding / acquisition status) verified as of 2026-08-10. EvalGuard's own counts are sourced live from the drift-checked registry.
Coverage at a glance
EvalGuard vs Weights & Biases, by the numbers
Where both platforms publish a number, here's the gap. Our values come straight from the drift-checked registry; Weights & Biases's are quoted as published.
Attack Plugins
EvalGuard300
Weights & Biases0
Eval Scorers
EvalGuard200
Weights & Biases24
| Feature | EvalGuard | Weights & Biases |
|---|---|---|
| Attack Plugins | 300+ | 0 |
| Eval Scorers | 200+ | 24 (Weave) |
| Experiment Tracking | Yes | Best-in-class |
| Model Registry | No | Yes |
| LLM Firewall | 5-layer, inline, 3.67ms p95 | Weave guardrails (prompt-injection, Presidio, Bedrock) |
| Compliance framework mappings | 50 mapped in-product (EU AI Act, ISO 42001, NIST AI RMF …) | Not published |
| Open Source | Apache 2.0 (SDKs + CLI) | Partial — Weave is Apache 2.0, core W&B closed |
| Red Team Testing | Full suite | No |
| Prompt Registry | Registry + Diff | Yes (versioned Weave Prompt objects) |
| Self-Hosted | Helm + Docker | Enterprise only |
Why choose EvalGuard over Weights & Biases
- 300+ attack plugins and 100+ strategies — W&B ships guardrail scorers but no offensive test library
- 200+ eval scorers vs 24 in Weave — 10.2x more
- 50 compliance frameworks mapped in-product with evidence collection
- Inline runtime firewall on the request path with a published p95 — Weave's guardrails run around instrumented ops
- Self-hostable on Docker/Helm on every tier — W&B reserves self-hosting for Enterprise
Where Weights & Biases leads
- W&B has best-in-class experiment tracking and visualization
- W&B has deeper model registry and artifact management
- Weave ships 24 scorers including prompt-injection, Presidio and Bedrock guardrails, and versioned Prompt objects — this page previously said it had ~10 scorers, no firewall and no prompt registry, and all three were wrong
- W&B has massive ML community adoption
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