At a glance — Oct 2026
Updated 2026-10-27 · forward this page: /jtbds/experiment-tracking#briefScores as of 2026-09-14 (43 days old; Depot marks scores stale after 30 days). The pick is still Depot's current editorial pick; it has not been re-reviewed since. Prices below carry their own dates.
- Depot Pick
- Weights & Biases · 7.90/10 for this job (curated estimate, high confidence)
maturity + capability for training workflows.
- Runner-up
- Arize Phoenix · 8.44/10
Scores higher than the pick on: Price / performance, Privacy / data retention, Lock-in risk (higher = worse).
- When not to use the pick
- Pure LLM app tracing without training — Langfuse.
- Lock-in / migration
- Runner-up Arize Phoenix has lower stored lock-in risk (2.5 vs 5.5, 0–10, higher = more lock-in).
- Sourced price (no comparable unit)
Pick: no sourced price in this job's unit (no_sourced_price).
No cheapest SKU (no_comparable_unit_for_job). No price was invented.
- Free option
- No free resource lists this job. A cheap paid SKU is not a free option.
- Failure modes to watch
- Observability gap: Alert on a drop in trace ingestion and on certificate expiry for the trace host. Do not treat a missing trace as a successful quiet run.
Cite: Agent Provider Depot, Depot Pick for experiment-tracking: weights-biases, scores as of 2026-09-14. Agents: GET /api/decide?jtbd=experiment-tracking
Weights & Biases
maturity + capability for training workflows.
Pricing (directional): Experiment tracking + W&B Weave/LLM tools; seat and usage based; free tiers for individuals.
Lock-in risk: higher = more lock-in (worse). Overall already inverts this dimension.
Use for training/fine-tune discipline. For pure agent request tracing, Langfuse/Helicone are leaner.
Quote for ML experiment tracking
Depot Pick stays Weights & Biases. Prices below are sourced SKU rows only (as of 2026-10-27). Input and output are not blended. GET /api/quote?jtbd=experiment-tracking
Nothing was compared. no comparable sourced unit for this job; chat input $/1M and other units were not borrowed pickIsPriceWinner is null.
Sourced price unavailable for the Depot Pick. No row in the pricing index.
5 of 5 candidates have no sourced price row. 5 are excluded from the Matching price comparison (none). no comparable sourced unit for this job; chat input $/1M and other units were not borrowed
Runners-up
When NOT to use the top pick
Pure LLM app tracing without training — Langfuse.
Full ranking (score table)
Ranked with this JTBD's weights. Scores are curated estimates unless marked otherwise. Agents: prefer /api/decide then this table for tie-breaks.
| # | Provider | Overall | Fit | $/perf | Latency | DX | As of |
|---|---|---|---|---|---|---|---|
| 1 | Langfuse | 8.7 | 8.8 | 9.2 | 8.4 | 8.8 | 2026-09-14 |
| 2 | Arize Phoenix | 8.4 | 8.6 | 9.0 | 8.2 | 8.0 | 2026-09-14 |
| 3 | PostHog | 8.4 | 8.4 | 8.8 | 8.4 | 9.0 | 2026-09-14 |
| 4 | Comet Opik | 8.1 | 8.2 | 8.5 | 8.0 | 8.4 | 2026-09-14 |
| 5 | Weights & BiasesDepot Pick | 7.9 | 8.8 | 6.8 | 9.0 | 8.2 | 2026-09-14 |
Score methodology for this job
maturity + capability for training workflows.
capabilityFit: 26%pricePerformance: 22%latencyReliability: 10%developerDx: 18%privacyPosture: 8%lockInRisk: 8%maturity: 8%