BaseRun vs Hugging Face (Gradio)
Hugging Face (Gradio) leads in package downloads at 55506x; Hugging Face (Gradio) has raised more funding at $394M; both compete in AI Infrastructure. Updated daily with live metrics.
BaseRun: 229 downloads/mo (-83%), 16 GitHub stars, $500K funded vs
Hugging Face (Gradio): 12.7M downloads/mo (-7%), 42.0K GitHub stars, 3 active contributors, 66 dependents, $394M funded
Source: AI-Buzz. Updated daily from npm, PyPI, GitHub, and Hacker News.
Key Differences
For production adoption: Hugging Face (Gradio) is depended on by 1.4K packages versus 1 for BaseRun. Hugging Face (Gradio) leads in package downloads with 12.7M per month compared to 229 for BaseRun (Hugging Face (Gradio) -7% MoM, BaseRun -83% MoM). Hugging Face (Gradio) appears in 11.9K GitHub repositories compared to 1 for BaseRun.
For growth trajectory: Hugging Face (Gradio) has 42.0K GitHub stars versus 16 for BaseRun.
For longevity/risk: Hugging Face (Gradio) has raised $394M in total disclosed funding, while BaseRun has raised $500K. BaseRun's most recent round was Seed, while Hugging Face (Gradio)'s most recent round was Series D. both companies operate in the AI Infrastructure category.
Bottom Line
Hugging Face (Gradio) leads on developer adoption with 12.7M monthly package downloads. BaseRun counters with 16 GitHub stars, reflecting strong developer awareness. 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)
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| Metric | BaseRun Updated Mar 17 | Updated Mar 17 |
|---|---|---|
| Website | baserun.ai → | gradio.app → |
| Description | AI testing and evaluation platform. Test LLM applications at scale. | Open-source Python library for building ML demos |
| Total Disclosed Funding Source: Public records / manual researchUpdates: Weekly | $500K | $394M✓ |
| Last Funding | Seed Jan 2023 | Series D Aug 2023 |
| 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 | 64.3K✓ |
| npm Trend (30d) | - | |
| PyPI Registry Downloads (30d) Source: PyPI (Google BigQuery)Updates: DailyNote: Includes all package installations including CI/CD pipelines and mirrors | 229 | 12.6M✓ |
| PyPI Trend (30d) | ||
| Total Downloads (30d) Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managers | 229-83% | 12.7M-7%✓ |
| Active Contributors/Day Source: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activity | 0 | 3✓ |
| Contributors Trend | - | +200% |
| npm Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct and dev dependents | N/A | 66✓ |
| PyPI Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct reverse dependencies from PyPI | 1 | 1.4K✓ |
| Code Adoption (repos) Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forks | 1 | 11.9K✓ |
| Status | Private | Unknown |
| HN Mentions (30d) Source: Hacker News (Algolia API)Updates: Daily | 0 | 0 |
| Reddit Mentions (30d) Source: Reddit (search API)Updates: DailyNote: Counts posts/comments mentioning the company by name | N/A | 2✓ |
| GitHub Stars Source: GitHub APIUpdates: DailyNote: Stars are bookmarks — a popularity signal, not a usage indicator | 16 | 42.0K✓ |
| Founded | 2023 | 2016 |
| Primary Category | ||
| Data Last Updated | ||
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