Iterative vs MLflow
both compete in AI Infrastructure. Updated daily with live metrics.
Iterative: 2.2M downloads/mo (+40%), 15.4K GitHub stars, 1 active contributors, $25M funded vs
MLflow
Source: AI-Buzz. Updated daily from npm, PyPI, GitHub, and Hacker News.
Key Differences
For production adoption: Iterative is depended on by 111 packages. Iterative has 2.2M package downloads per month (+40% MoM). Iterative appears in 1.4K GitHub repositories.
For growth trajectory: Iterative has 15.4K GitHub stars. Iterative received 145 Hacker News mentions in the last 30 days.
For longevity/risk: Iterative has raised $25M in total disclosed funding. Iterative's most recent round was Series A. both companies operate in the AI Infrastructure category.
Bottom Line
Iterative leads on developer adoption with 2.2M 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 | iterative.ai → | mlflow.org → |
| Description | ML experiment tracking and data versioning with DVC and CML | Open-source platform for the ML lifecycle including experiment tracking and model registry |
| Total Disclosed Funding Source: Public records / manual researchUpdates: Weekly | $25M✓ | N/A |
| Last Funding | Series A Jun 2021 | Not available |
| Developer Adoption | ||
| Momentum | 38Moderate✓ | 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 | 2.2M✓ | N/A |
| PyPI Trend (30d) | - | |
| Total Downloads (30d) Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managers | 2.2M+40%✓ | Not tracked |
| Active Contributors/Day Source: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activity | 1✓ | N/A |
| PyPI Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct reverse dependencies from PyPI | 111✓ | N/A |
| Code Adoption (repos) Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forks | 1.4K✓ | N/A |
| HN Discussion Share Source: Hacker News (Algolia API)Updates: DailyNote: Share of HN mentions within the company's primary category | 10.2% of HN mentions | - |
| Status | Private | Unknown |
| HN Mentions (30d) Source: Hacker News (Algolia API)Updates: Daily | 145✓ | N/A |
| HN Mentions Trend (30d) | - | |
| Reddit Mentions (30d) Source: Reddit (search API)Updates: DailyNote: Counts posts/comments mentioning the company by name | 10✓ | N/A |
| Job Mentions (30d) Source: Job board aggregationUpdates: DailyNote: Counts job listings mentioning the company's technology | 1✓ | N/A |
| GitHub Stars Source: GitHub APIUpdates: DailyNote: Stars are bookmarks — a popularity signal, not a usage indicator | 15.4K✓ | N/A |
| Founded | 2018 | 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.
Select Companies to Compare
Related Comparisons
Related Articles
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.