Fireworks AI vs Hugging Face
Hugging Face leads in package downloads at 15x; Hugging Face has raised more funding at $394M; Hugging Face leads in active contributors with 16 (30d); Hugging Face leads in code adoption with 33.0K repos importing. Updated daily with live metrics.
Fireworks AI: 8.0M downloads/mo (+18%), 137 GitHub stars, 2 active contributors, 1 repos importing, $77M funded vs
Hugging Face: 116.3M downloads/mo, 158.0K GitHub stars, 16 active contributors, 284 dependents, 33.0K repos importing, $394M funded
Source: AI-Buzz Developer Adoption Index (DAI). Updated daily from 12 data sources.
Downloads (30d)
Disclosed Funding
GitHub Stars
Package Dependents
Repos Importing (code adoption)
HN Mentions (30d)
Momentum (0-100)
Key Differences
For production adoption: Hugging Face is depended on by 9.1K packages versus 49 for Fireworks AI. Hugging Face leads in package downloads with 116.3M per month compared to 8.0M for Fireworks AI (Fireworks AI +18% MoM). Hugging Face appears in 33.0K GitHub repositories compared to 1 for Fireworks AI.
For growth trajectory: Hugging Face has 158.0K GitHub stars versus 137 for Fireworks AI. Hugging Face received 6 Hacker News mentions in the last 30 days.
For longevity/risk: Hugging Face has raised $394M in total disclosed funding, while Fireworks AI has raised $77M. Fireworks AI's most recent round was Series B, while Hugging Face's most recent round was Series D. Hugging Face attracted 16 active contributors in the last 30 days compared to 2 for Fireworks AI. Fireworks AI operates in AI Infrastructure while Hugging Face focuses on Foundation Models.
Bottom Line
Hugging Face leads on developer adoption with 116.3M monthly package downloads. Fireworks AI counters with 137 GitHub stars, reflecting strong developer awareness. For a deeper look, visit each company's full profile for trend charts, funding rounds, and community sentiment data.
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| Metric | Updated Mar 18 | Updated Mar 18 |
|---|---|---|
| Website | fireworks.ai → | huggingface.co → |
| Description | Fast and efficient generative AI inference platform | Open-source ML platform hosting models, datasets, and Spaces |
| Total Disclosed Funding Source: Public records / manual researchUpdates: Weekly | $77M | $394M✓ |
| Last Funding | Series B Jul 2024 | Series D Aug 2023 |
| Developer Adoption | ||
| Momentum | 36Moderate | 41Moderate✓ |
| npm Registry Downloads (30d) Source: npm registryUpdates: DailyNote: Includes all package installations including CI/CD pipelines and mirrors | 0 | 1.4M✓ |
| npm Trend (30d) | - | |
| PyPI Registry Downloads (30d) Source: PyPI (Google BigQuery)Updates: DailyNote: Includes all package installations including CI/CD pipelines and mirrors | 8.0M | 115.0M✓ |
| PyPI Trend (30d) | ||
| Total Downloads (30d) Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managers | 8.0M+18% | 116.3M+2%✓ |
| Active Contributors/Day Source: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activity | 2 | 16✓ |
| Contributors Trend | - | +129% |
| npm Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct and dev dependents | N/A | 284✓ |
| PyPI Dependents Source: Libraries.io APIUpdates: WeeklyNote: Counts direct reverse dependencies from PyPI | 49 | 8.8K✓ |
| Code Adoption (repos) Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forksExclusive | 1 | 33.0K✓ |
| HN Discussion Share Source: Hacker News (Algolia API)Updates: DailyNote: Share of HN mentions within the company's primary category | 0.7% of HN mentions | 3.6% of HN mentions |
| Status | Unknown | Private |
| HN Mentions (30d) Source: Hacker News (Algolia API)Updates: Daily | 0 | 6✓ |
| HN Mentions Trend (30d) | ||
| Reddit Mentions (30d) Source: Reddit (search API)Updates: DailyNote: Counts posts/comments mentioning the company by nameExclusive | 0 | 10✓ |
| Job Mentions (30d) Source: Job board aggregationUpdates: DailyNote: Counts job listings mentioning the company's technologyExclusive | N/A | 2✓ |
| GitHub Stars Source: GitHub APIUpdates: DailyNote: Stars are bookmarks — a popularity signal, not a usage indicator | 137 | 158.0K✓ |
| Founded | 2023 | 2016 |
| Primary Category | ||
| Data Last Updated | ||
Frequently Asked Questions
- Which has more developer adoption, Fireworks AI or Hugging Face?
- Hugging Face has 116.3M package downloads per month, making it the more widely adopted tool among developers.Hugging Face profile →
- Which has more real-world code adoption, Fireworks AI or Hugging Face?
- Hugging Face appears in 33.0K GitHub repositories that import its packages, compared to 1 for Fireworks AI. This metric is exclusive to AI-Buzz.How we measure code adoption →
- Which is mentioned more in job listings, Fireworks AI or Hugging Face?
- Hugging Face appeared in 2 job listings in the last 30 days, compared to 0 for Fireworks AI. Job mention data is tracked exclusively by AI-Buzz.How we track job mentions →
- Which is growing faster, Fireworks AI or Hugging Face?
- Hugging Face has a momentum score of 41/100, indicating moderate growth trajectory. Momentum is calculated from download trends, GitHub activity, and community signals.Developer Adoption Index →
- Which company has more funding, Fireworks AI or Hugging Face?
- Hugging Face has raised $394M in total disclosed funding.AI funding data →
Download comparison data
Source: AI-Buzz Developer Adoption Index. Free to use with attribution.
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