MLflow vs Portkey
both compete in AI Infrastructure. Updated daily with live metrics.
MLflow vs
Portkey: 873.4K downloads/mo (+16%), 10.9K GitHub stars, 2 active contributors, 34 dependents, $3M funded
Source: AI-Buzz. Updated daily from npm, PyPI, GitHub, and Hacker News.
Key Differences
For production adoption: Portkey is depended on by 62 packages. Portkey has 873.4K package downloads per month (+16% MoM). Portkey appears in 3 GitHub repositories.
For growth trajectory: Portkey has 10.9K GitHub stars.
For longevity/risk: Portkey has raised $3M in total disclosed funding. Portkey's most recent round was Seed. both companies operate in the AI Infrastructure category.
Bottom Line
Portkey leads on developer adoption with 873.4K 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 → | portkey.ai → |
| Description | Open-source platform for the ML lifecycle including experiment tracking and model registry | AI gateway for routing and observing calls across LLM providers |
| Total Disclosed Funding Source: Public records / manual researchUpdates: Weekly | N/A | $3M✓ |
| Last Funding | Not available | Seed Aug 2023 |
| Developer Adoption | ||
| Momentum | N/A | 27✓ |
| npm Registry Downloads (30d) Source: npm registryUpdates: DailyNote: Includes all package installations including CI/CD pipelines and mirrors | N/A | 431.3K✓ |
| npm Trend (30d) | - | |
| PyPI Registry Downloads (30d) Source: PyPI (Google BigQuery)Updates: DailyNote: Includes all package installations including CI/CD pipelines and mirrors | N/A | 442.1K✓ |
| PyPI Trend (30d) | - | |
| Total Downloads (30d) Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managers | Not tracked | 873.4K+16%✓ |
| Active Contributors/Day Source: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activity | N/A | 2✓ |
| Contributors Trend | - | 0% |
| npm Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct and dev dependents | N/A | 34✓ |
| PyPI Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct reverse dependencies from PyPI | N/A | 28✓ |
| Code Adoption (repos) Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forks | N/A | 3✓ |
| Status | Unknown | Private |
| HN Mentions (30d) Source: Hacker News (Algolia API)Updates: Daily | N/A | 0 |
| GitHub Stars Source: GitHub APIUpdates: DailyNote: Stars are bookmarks — a popularity signal, not a usage indicator | N/A | 10.9K✓ |
| Founded | Unknown | 2023 |
| 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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