Deepchecks vs Langfuse
Deepchecks vs Langfuse, compared side by side on 22 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 Langfuse on 55/100.
Where each one leads
Deepchecks
- our overall score: 58/100 against 55/100
- agent readiness: 50/100 against 43/100
- headcount: 32 against 21
- funding raised: $18.3M against $2.5M
Langfuse
- domain rating: 79/100 against 63/100
- headcount growth: +81.0% against +23.4%
At a glance
| Measure | Deepchecks | Langfuse |
|---|---|---|
| What it is | Open-source Python library for validating ML models and data, ensuring reliability and quality. | Open-source LLM engineering platform for debugging, monitoring, and improving production-grade LLM applications. |
| Category | MLOps, Observability, Artificial Intelligence, AI Testing | MLOps, Observability, Developer Tools, API Platform |
| Sells toBusiness model | B2B | B2B |
| Offering | Software | Platform |
| Founded | 2019 | 2022 |
| Headquarters | Tel Aviv, Israel | Berlin, Germany |
| Status | Inactive | Active |
Size, funding and growth
| Measure | Deepchecks | Langfuse |
|---|---|---|
| Employees | 32 | 21 |
| Headcount growthLast 12 months | +23.4% | +81.0% |
| Total funding | $18.3M | $2.5M |
| Latest round | Seed | Seed |
| LinkedIn followers | 12,829 | 13,143 |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | Deepchecks | Langfuse |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 58/100 | 55/100 |
| Traction | 51/100 | 45/100 |
| Team | 80/100 | 70/100 |
| Community | 8/100 | Not published |
| Search visibility | 36/100 | 58/100 |
| Quality | 58/100 | 58/100 |
| Agent readinessHow well an AI agent can read and act on the site | D (50/100) | D (43/100) |
| Domain ratingLink authority, 0-100 | 63/100 | 79/100 |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Deepchecks | Langfuse |
|---|---|---|
| Hosting | Google Cloud | Vercel |
| CDN | Not detected | Vercel |
| Frameworks | Not detected | Next.js, Tailwind CSS |
| Analytics | Not detected | Google Analytics 4, Google Tag Manager, Segment |
| Support stack | Not detected | HubSpot |
| Open source | Yes | Yes |
| Self-hostable | Yes | No |
Product and pricing
| Measure | Deepchecks | Langfuse |
|---|---|---|
| Key features | Not published | Full Context Tracing, Cost & Latency Monitoring, Output Quality Evaluation, Prompt Management & Experimentation, Testing & Benchmarking |
Deepchecks vs Langfuse: common questions
Which is better, Deepchecks or Langfuse?
On our 0-100 score Deepchecks rates higher (58/100 against 55/100). 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 22 data points above: read the rows that match what you are buying for.
How do Deepchecks and Langfuse compare on the numbers?
Deepchecks leads on our overall score (58/100 against 55/100), agent readiness (50/100 against 43/100), headcount (32 against 21), funding raised ($18.3M against $2.5M). Langfuse leads on domain rating (79/100 against 63/100), headcount growth (+81.0% against +23.4%).
Read the full Deepchecks review and pricing or the Langfuse review and pricing. You can also browse other Deepchecks alternatives we track.