Deepchecks vs Probabl
Deepchecks vs Probabl, compared side by side on 21 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 Probabl on 54/100.
Where each one leads
Deepchecks
- our overall score: 58/100 against 54/100
- agent readiness: 50/100 against 29/100
Probabl
- headcount: 55 against 32
At a glance
| Measure | Deepchecks | Probabl |
|---|---|---|
| What it is | Open-source Python library for validating ML models and data, ensuring reliability and quality. | Track experiments, validate models, and collaborate with confidence using Skore, the methodology layer for AI coding tools. |
| Category | MLOps, Observability, Artificial Intelligence, AI Testing | MLOps, DataOps, Developer Tools, AI Coding Assistant |
| Sells toBusiness model | B2B | B2B |
| Offering | Software | Software |
| Founded | 2019 | 2023 |
| Headquarters | Tel Aviv, Israel | Paris, France |
| Status | Inactive | Active |
Size, funding and growth
| Measure | Deepchecks | Probabl |
|---|---|---|
| Employees | 32 | 55 |
| Headcount growthLast 12 months | +23.4% | Not published |
| Total funding | $18.3M | $18.5M |
| Latest round | Seed | Seed |
| LinkedIn followers | 12,829 | 14,660 |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | Deepchecks | Probabl |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 58/100 | 54/100 |
| Traction | 51/100 | 54/100 |
| Team | 80/100 | 70/100 |
| Community | 8/100 | Not published |
| Search visibility | 36/100 | 24/100 |
| Quality | 58/100 | 58/100 |
| Agent readinessHow well an AI agent can read and act on the site | D (50/100) | F (29/100) |
| Domain ratingLink authority, 0-100 | 63/100 | 57/100 |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Deepchecks | Probabl |
|---|---|---|
| Hosting | Google Cloud | AWS |
| Frameworks | Not detected | Astro |
| Open source | Yes | No |
| Self-hostable | Yes | No |
Deepchecks vs Probabl: common questions
Which is better, Deepchecks or Probabl?
On our 0-100 score Deepchecks rates higher (58/100 against 54/100). 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 21 data points above: read the rows that match what you are buying for.
How do Deepchecks and Probabl compare on the numbers?
Deepchecks leads on our overall score (58/100 against 54/100), agent readiness (50/100 against 29/100). Probabl leads on headcount (55 against 32).
Read the full Deepchecks review and pricing or the Probabl review and pricing. You can also browse other Deepchecks alternatives we track.