BaseRun vs MLflow
both compete in AI Infrastructure. Updated daily with live metrics.
BaseRun: 229 downloads/mo (-83%), 16 GitHub stars, $500K funded vs
MLflow
Source: AI-Buzz. Updated daily from npm, PyPI, GitHub, and Hacker News.
Key Differences
For production adoption: BaseRun is depended on by 1 packages. BaseRun has 229 package downloads per month (-83% MoM). BaseRun appears in 1 GitHub repositories.
For growth trajectory: BaseRun has 16 GitHub stars.
For longevity/risk: BaseRun has raised $500K in total disclosed funding. BaseRun's most recent round was Seed. both companies operate in the AI Infrastructure category.
Bottom Line
BaseRun leads on developer adoption with 229 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 | BaseRun Updated Mar 17 | MLflow |
|---|---|---|
| Website | baserun.ai → | mlflow.org → |
| Description | AI testing and evaluation platform. Test LLM applications at scale. | Open-source platform for the ML lifecycle including experiment tracking and model registry |
| Total Disclosed Funding Source: Public records / manual researchUpdates: Weekly | $500K✓ | N/A |
| Last Funding | Seed Jan 2023 | Not available |
| Developer Adoption | ||
| Momentum | 32Moderate✓ | N/A |
| npm Registry Downloads (30d) Source: npm registryUpdates: DailyNote: Includes all package installations including CI/CD pipelines and mirrors | 0 | N/A |
| PyPI Registry Downloads (30d) Source: PyPI (Google BigQuery)Updates: DailyNote: Includes all package installations including CI/CD pipelines and mirrors | 229✓ | N/A |
| PyPI Trend (30d) | - | |
| Total Downloads (30d) Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managers | 229-83%✓ | Not tracked |
| Active Contributors/Day Source: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activity | 0 | N/A |
| PyPI Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct reverse dependencies from PyPI | 1✓ | N/A |
| Code Adoption (repos) Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forks | 1✓ | N/A |
| Status | Private | Unknown |
| HN Mentions (30d) Source: Hacker News (Algolia API)Updates: Daily | 0 | N/A |
| GitHub Stars Source: GitHub APIUpdates: DailyNote: Stars are bookmarks — a popularity signal, not a usage indicator | 16✓ | N/A |
| Founded | 2023 | Unknown |
| 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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