Anyscale vs vLLM
Anyscale leads in package downloads at 10x; vLLM leads in active contributors with 342 (30d); both compete in AI Infrastructure. Updated daily with live metrics.
Key Differences
Anyscale leads in package downloads with 56.1M per month compared to 5.6M for vLLM. vLLM has 72.3K GitHub stars versus 41.6K for Anyscale. vLLM attracted 342 contributors in the last 30 days compared to 92 for Anyscale.
Anyscale has raised $260M in total funding. Anyscale's most recent round was Strategic Investment. both companies operate in the AI Infrastructure category.
vLLM received 86 Hacker News mentions in the last 30 days.
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Anyscale: 56.1M downloads/mo, 41.6K GitHub stars, 92 active contributors, $260M funded vs
vLLM: 5.6M downloads/mo, 72.3K GitHub stars, 342 active contributors, 3 dependents
Source: AI-Buzz AI company database.
- •Anyscale leads in package downloads with 56.1M/mo (10x vLLM)
- •vLLM has 72.3K GitHub stars (2x more)
- •vLLM has 342 active contributors (30d) (4x Anyscale)
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| Metric | Anyscale | vLLM |
|---|---|---|
| Website | anyscale.com → | vllm.ai → |
| Description | Ray framework company. Distributed computing for ML workloads. | Fast LLM inference engine. High-throughput serving for LLMs. |
| Total Funding | $260M✓ | - |
| Last Funding | Strategic Investment Aug 2022 | Not available |
| Developer Adoption | ||
| npm Downloads (30d) Source: npm registryUpdates: DailyNote: Only tracks npm, not yarn/pnpm installs | - | 30.2K✓ |
| PyPI Downloads (30d) Source: PyPI (pypistats.org)Updates: Daily | 56.1M✓ | 5.5M |
| Total Downloads (30d) | 56.1M+1%✓ | 5.6M+0% |
| Active Contributors (30d) Source: GitHub APIUpdates: Daily | 92 | 342✓ |
| npm Dependents Source: Libraries.io APIUpdates: DailyNote: Counts direct and dev dependents | - | 3✓ |
| HN Discussion Share | - | 5.2% of HN mentions |
| Status | Private | Private |
| HN Mentions (30d) Source: Hacker News (Algolia API)Updates: Daily | 0 | 86✓ |
| HN Mentions Trend (30d) | - | - |
| GitHub Stars Source: GitHub APIUpdates: Daily | 41.6K | 72.3K✓ |
| Founded | 2019 | 2023 |
| Primary Category | ||
| Data Last Updated | ||
Key Differences: Anyscale vs vLLM
In developer adoption, Anyscale leads with 56.1M package downloads per month — roughly 10x the 5.6M downloads vLLM receives.
Anyscale has raised $260M in funding, while vLLM does not have disclosed funding data. Anyscale's latest round was a Strategic Investment in 2022.
On GitHub, Anyscale has 41.6K GitHub stars and vLLM has 72.3K, and vLLM has 342 active contributors in the last 30 days (4x more).
In community signals, vLLM has 86 Hacker News mentions in the past 30 days.
Both Anyscale and vLLM operate in the AI Infrastructure space, making them direct competitors for developer mindshare.
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