Deepchecks vs Weights & Biases (W&B)
Deepchecks vs Weights & Biases (W&B), compared side by side on 19 data points: what each one does, how big it is, what it has raised, the tech running each site, and what users report. We score both out of 100 on traction, team and visibility: Deepchecks is on 58/100 and Weights & Biases (W&B) on 57/100.
Where each one leads
Deepchecks
- agent readiness: 50/100 against 37/100
Weights & Biases (W&B)
- domain rating: 80/100 against 63/100
- funding raised: $521M against $18.3M
At a glance
| Measure | Deepchecks | Weights & Biases (W&B) |
|---|---|---|
| What it is | Open-source Python library for validating ML models and data, ensuring reliability and quality. | MLOps platform for tracking, visualizing, and collaborating on machine learning experiments. |
| Category | MLOps, Observability, Artificial Intelligence, AI Testing | MLOps, DataOps, Observability, Developer Tools |
| Sells toBusiness model | B2B | B2B |
| Offering | Software | Software |
| Founded | 2019 | 2017 |
| Headquarters | Tel Aviv, Israel | San Francisco, United States |
| Status | Inactive | Active |
Size, funding and growth
| Measure | Deepchecks | Weights & Biases (W&B) |
|---|---|---|
| Employees | 32 | Not published |
| Headcount growthLast 12 months | +23.4% | Not published |
| Total funding | $18.3M | $521M |
| Latest round | Seed | Series C |
| LinkedIn followers | 12,829 | Not published |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | Deepchecks | Weights & Biases (W&B) |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 58/100 | 57/100 |
| Traction | 51/100 | 40/100 |
| Team | 80/100 | 30/100 |
| Community | 8/100 | Not published |
| Search visibility | 36/100 | 20/100 |
| Quality | 58/100 | 78/100 |
| Agent readinessHow well an AI agent can read and act on the site | D (50/100) | F (37/100) |
| Domain ratingLink authority, 0-100 | 63/100 | 80/100 |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Deepchecks | Weights & Biases (W&B) |
|---|---|---|
| Hosting | Google Cloud | Google Cloud |
| Open source | Yes | Yes |
| Self-hostable | Yes | No |
Deepchecks vs Weights & Biases (W&B): common questions
Which is better, Deepchecks or Weights & Biases (W&B)?
On our 0-100 score Deepchecks rates higher (58/100 against 57/100). The score weights traction, team, visibility and profile completeness, so it reflects company strength rather than which product suits you. We compare the two on 19 data points above: read the rows that match what you are buying for.
How do Deepchecks and Weights & Biases (W&B) compare on the numbers?
Deepchecks leads on agent readiness (50/100 against 37/100). Weights & Biases (W&B) leads on domain rating (80/100 against 63/100), funding raised ($521M against $18.3M).
Read the full Deepchecks review and pricing or the Weights & Biases (W&B) review and pricing. You can also browse other Deepchecks alternatives we track.