Colossal-AI vs MLflow
both compete in AI Infrastructure. Updated daily with live metrics.
Colossal-AI: 12.4K downloads/mo (+34%), 41.4K GitHub stars, 1 active contributors, $28M funded vs
MLflow
Source: AI-Buzz. Updated daily from npm, PyPI, GitHub, and Hacker News.
Key Differences
For production adoption: Colossal-AI is depended on by 10 packages. Colossal-AI has 12.4K package downloads per month (+34% MoM). Colossal-AI appears in 63 GitHub repositories.
For growth trajectory: Colossal-AI has 41.4K GitHub stars.
For longevity/risk: Colossal-AI has raised $28M in total disclosed funding. Colossal-AI's most recent round was Series A. both companies operate in the AI Infrastructure category.
Bottom Line
Colossal-AI leads on developer adoption with 12.4K 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.
← Scroll to compare →
| Metric | Updated Mar 17 | MLflow |
|---|---|---|
| Website | colossalai.org → | mlflow.org → |
| Description | Distributed training framework for large-scale AI models | Open-source platform for the ML lifecycle including experiment tracking and model registry |
| Total Disclosed Funding Source: Public records / manual researchUpdates: Weekly | $28M✓ | N/A |
| Last Funding | Series A May 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 | 12.4K✓ | N/A |
| PyPI Trend (30d) | - | |
| Total Downloads (30d) Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managers | 12.4K+34%✓ | 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 | 0% | - |
| PyPI Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct reverse dependencies from PyPI | 10✓ | N/A |
| Code Adoption (repos) Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forks | 63✓ | 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 | 41.4K✓ | N/A |
| Founded | 2021 | 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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