MLflow vs Roboflow
both compete in AI Infrastructure. Updated daily with live metrics.
MLflow vs
Roboflow: 4.1M downloads/mo (+79%), 36.7K GitHub stars, 6 active contributors, $22M funded
Source: AI-Buzz. Updated daily from npm, PyPI, GitHub, and Hacker News.
Key Differences
For production adoption: Roboflow is depended on by 43 packages. Roboflow has 4.1M package downloads per month (+79% MoM). Roboflow appears in 37 GitHub repositories.
For growth trajectory: Roboflow has 36.7K GitHub stars. Roboflow received 1 Hacker News mentions in the last 30 days.
For longevity/risk: Roboflow has raised $22M in total disclosed funding. Roboflow's most recent round was Seed. both companies operate in the AI Infrastructure category.
Bottom Line
Roboflow leads on developer adoption with 4.1M monthly package downloads. Both compete in the AI Infrastructure space. For a deeper look, visit each company's full profile for trend charts, funding rounds, and community sentiment data.
Downloads (30d)
Disclosed Funding
GitHub Stars
Package Dependents
Repos Importing (code adoption)
HN Mentions (30d)
Momentum (0-100)
Data freshness notice: MLflow: no data freshness timestamp available.
← Scroll to compare →
| Metric | MLflow | Updated Mar 17 |
|---|---|---|
| Website | mlflow.org → | roboflow.com → |
| Description | Open-source platform for the ML lifecycle including experiment tracking and model registry | Computer vision platform for dataset management and model deployment |
| Total Disclosed Funding Source: Public records / manual researchUpdates: Weekly | N/A | $22M✓ |
| Last Funding | Not available | Seed Jan 2021 |
| Developer Adoption | ||
| Momentum | N/A | 30Moderate✓ |
| npm Registry Downloads (30d) Source: npm registryUpdates: DailyNote: Includes all package installations including CI/CD pipelines and mirrors | N/A | 0 |
| PyPI Registry Downloads (30d) Source: PyPI (Google BigQuery)Updates: DailyNote: Includes all package installations including CI/CD pipelines and mirrors | N/A | 4.1M✓ |
| PyPI Trend (30d) | - | |
| Total Downloads (30d) Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managers | Not tracked | 4.1M+79%✓ |
| Active Contributors/Day Source: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activity | N/A | 6✓ |
| Contributors Trend | - | -50% |
| PyPI Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct reverse dependencies from PyPI | N/A | 43✓ |
| Code Adoption (repos) Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forks | N/A | 37✓ |
| HN Discussion Share Source: Hacker News (Algolia API)Updates: DailyNote: Share of HN mentions within the company's primary category | - | 0.1% of HN mentions |
| Status | Unknown | Private |
| HN Mentions (30d) Source: Hacker News (Algolia API)Updates: Daily | N/A | 1✓ |
| Job Mentions (30d) Source: Job board aggregationUpdates: DailyNote: Counts job listings mentioning the company's technology | N/A | 1✓ |
| GitHub Stars Source: GitHub APIUpdates: DailyNote: Stars are bookmarks — a popularity signal, not a usage indicator | N/A | 36.7K✓ |
| Founded | Unknown | 2019 |
| Primary Category | ||
| Data Last Updated | Unknown | |
* MLflow has no npm/PyPI packages tracked - download metrics unavailable. Signal score based on GitHub and community data only.
Select Companies to Compare
Related Comparisons
Weekly AI Intelligence
Which AI companies are developers actually adopting? We track npm and PyPI downloads for hundreds of companies. Get the biggest shifts delivered weekly.