MLflow vs Voxel51
both compete in AI Infrastructure. Updated daily with live metrics.
MLflow vs
Voxel51: 227.0K downloads/mo (+41%), 10.5K GitHub stars, 7 active contributors, $45M funded
Source: AI-Buzz. Updated daily from npm, PyPI, GitHub, and Hacker News.
Key Differences
For production adoption: Voxel51 is depended on by 29 packages. Voxel51 has 227.0K package downloads per month (+41% MoM). Voxel51 appears in 64 GitHub repositories.
For growth trajectory: Voxel51 has 10.5K GitHub stars.
For longevity/risk: Voxel51 has raised $45M in total disclosed funding. Voxel51's most recent round was Series B. both companies operate in the AI Infrastructure category.
Bottom Line
Voxel51 leads on developer adoption with 227.0K 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)
Momentum (0-100)
Data freshness notice: MLflow: no data freshness timestamp available.
← Scroll to compare →
| Metric | MLflow | Updated Mar 17 |
|---|---|---|
| Website | mlflow.org → | voxel51.com → |
| Description | Open-source platform for the ML lifecycle including experiment tracking and model registry | Open-source toolkit for building computer vision datasets |
| Total Disclosed Funding Source: Public records / manual researchUpdates: Weekly | N/A | $45M✓ |
| Last Funding | Not available | Series B May 2024 |
| Developer Adoption | ||
| Momentum | N/A | 32Moderate✓ |
| 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 | 227.0K✓ |
| PyPI Trend (30d) | - | |
| Total Downloads (30d) Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managers | Not tracked | 227.0K+41%✓ |
| Active Contributors/Day Source: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activity | N/A | 7✓ |
| Contributors Trend | - | +200%+ |
| PyPI Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct reverse dependencies from PyPI | N/A | 29✓ |
| Code Adoption (repos) Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forks | N/A | 64✓ |
| Status | Unknown | Private |
| HN Mentions (30d) Source: Hacker News (Algolia API)Updates: Daily | N/A | 0 |
| 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 | 10.5K✓ |
| Founded | Unknown | 2016 |
| 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.