Guardrails AI vs MLflow
both compete in AI Infrastructure. Updated daily with live metrics.
Guardrails AI: 214.5K downloads/mo (-12%), 6.5K GitHub stars, 1 active contributors, $8M funded vs
MLflow
Source: AI-Buzz. Updated daily from npm, PyPI, GitHub, and Hacker News.
Key Differences
For production adoption: Guardrails AI is depended on by 18 packages. Guardrails AI has 214.5K package downloads per month (-12% MoM). Guardrails AI appears in 4 GitHub repositories.
For growth trajectory: Guardrails AI has 6.5K GitHub stars. Guardrails AI received 2 Hacker News mentions in the last 30 days.
For longevity/risk: Guardrails AI has raised $8M in total disclosed funding. Guardrails AI's most recent round was Seed. both companies operate in the AI Infrastructure category.
Bottom Line
Guardrails AI leads on developer adoption with 214.5K 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 | Updated Mar 17 | MLflow |
|---|---|---|
| Website | guardrailsai.com → | mlflow.org → |
| Description | Framework for validating and structuring LLM outputs | Open-source platform for the ML lifecycle including experiment tracking and model registry |
| Total Disclosed Funding Source: Public records / manual researchUpdates: Weekly | $8M✓ | N/A |
| Last Funding | Seed Oct 2023 | Not available |
| Developer Adoption | ||
| Momentum | 39Moderate✓ | 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 | 214.5K✓ | N/A |
| PyPI Trend (30d) | - | |
| Total Downloads (30d) Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managers | 214.5K-12%✓ | Not tracked |
| Active Contributors/Day Source: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activity | 1✓ | N/A |
| Contributors Trend | -50% | - |
| PyPI Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct reverse dependencies from PyPI | 18✓ | N/A |
| Code Adoption (repos) Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forks | 4✓ | N/A |
| 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 | Private | Unknown |
| HN Mentions (30d) Source: Hacker News (Algolia API)Updates: Daily | 2✓ | N/A |
| Reddit Mentions (30d) Source: Reddit (search API)Updates: DailyNote: Counts posts/comments mentioning the company by name | 2✓ | N/A |
| GitHub Stars Source: GitHub APIUpdates: DailyNote: Stars are bookmarks — a popularity signal, not a usage indicator | 6.5K✓ | 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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