DAGsHub vs MLflow
DAGsHub vs MLflow, compared side by side on 20 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: DAGsHub is on 46/100 and MLflow on 25/100.
Where each one leads
DAGsHub
- our overall score: 46/100 against 25/100
- agent readiness: 56/100 against 40/100
MLflow
- domain rating: 78/100 against 65/100
- headcount: 41 against 21
- headcount growth: +260.7% against +86.3%
- LinkedIn following: 77,442 against 7,637
At a glance
| Measure | DAGsHub | MLflow |
|---|---|---|
| What it is | A collaborative platform for building, versioning, and managing data science projects. | Open-source platform for managing the ML lifecycle, from experimentation to deployment. |
| Category | AI Enablers, Platform, MLOps, DataOps | MLOps, AI Platforms, DataOps, Developer Tools |
| Sells toBusiness model | B2B | Open Source |
| Offering | Platform | Platform |
| Founded | 2019 | 2018 |
| Headquarters | Tel Aviv, Israel | Seattle, United States |
| Status | Active | Active |
Size, funding and growth
| Measure | DAGsHub | MLflow |
|---|---|---|
| Employees | 21 | 41 |
| Headcount growthLast 12 months | +86.3% | +260.7% |
| LinkedIn followers | 7,637 | 77,442 |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | DAGsHub | MLflow |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 46/100 | 25/100 |
| Traction | 13/100 | 16/100 |
| Team | 60/100 | Not published |
| Search visibility | 35/100 | 64/100 |
| Quality | 58/100 | Not published |
| Agent readinessHow well an AI agent can read and act on the site | D (56/100) | D (40/100) |
| Domain ratingLink authority, 0-100 | 65/100 | 78/100 |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | DAGsHub | MLflow |
|---|---|---|
| Hosting | Azure | AWS |
| CDN | Not detected | CloudFront |
| CMS | WordPress | Not detected |
| Frameworks | Jquery, Bootstrap | Tailwind CSS |
| Analytics | Google Tag Manager | Google Analytics 4, Google Tag Manager |
| Open source | No | Yes |
| Self-hostable | No | Yes |
DAGsHub vs MLflow: common questions
Which is better, DAGsHub or MLflow?
On our 0-100 score DAGsHub rates higher (46/100 against 25/100). 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 20 data points above: read the rows that match what you are buying for.
How do DAGsHub and MLflow compare on the numbers?
DAGsHub leads on our overall score (46/100 against 25/100), agent readiness (56/100 against 40/100). MLflow leads on domain rating (78/100 against 65/100), headcount (41 against 21), headcount growth (+260.7% against +86.3%), LinkedIn following (77,442 against 7,637).
Read the full DAGsHub review and pricing or the MLflow review and pricing. You can also browse other DAGsHub alternatives we track.