MLflow vs Snorkel AI
both compete in AI Infrastructure. Updated daily with live metrics.
MLflow vs
Snorkel AI: 47.7K downloads/mo (-8%), 5.9K GitHub stars, $138M funded
Source: AI-Buzz. Updated daily from npm, PyPI, GitHub, and Hacker News.
Key Differences
For production adoption: Snorkel AI is depended on by 14 packages. Snorkel AI has 47.7K package downloads per month (-8% MoM). Snorkel AI appears in 65 GitHub repositories.
For growth trajectory: Snorkel AI has 5.9K GitHub stars.
For longevity/risk: Snorkel AI has raised $138M in total disclosed funding. Snorkel AI's most recent round was Series B. both companies operate in the AI Infrastructure category.
Bottom Line
Snorkel AI leads on developer adoption with 47.7K 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.
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| Metric | MLflow | Updated Mar 17 |
|---|---|---|
| Website | mlflow.org → | snorkel.ai → |
| Description | Open-source platform for the ML lifecycle including experiment tracking and model registry | Data-centric AI platform for programmatic data labeling and curation |
| Total Disclosed Funding Source: Public records / manual researchUpdates: Weekly | N/A | $138M✓ |
| Last Funding | Not available | Series B Apr 2021 |
| Developer Adoption | ||
| Momentum | N/A | 26✓ |
| 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 | 47.7K✓ |
| PyPI Trend (30d) | - | |
| Total Downloads (30d) Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managers | Not tracked | 47.7K-8%✓ |
| Active Contributors/Day Source: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activity | N/A | 0 |
| PyPI Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct reverse dependencies from PyPI | N/A | 14✓ |
| Code Adoption (repos) Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forks | N/A | 65✓ |
| 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 | 5.9K✓ |
| 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.
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