AgentOps vs vLLM
vLLM leads in package downloads at 9x; vLLM leads in npm dependents with 3; both compete in AI Infrastructure. Updated daily with live metrics.
Key Differences
vLLM leads in package downloads with 5.6M per month compared to 633.3K for AgentOps. vLLM has 72.3K GitHub stars versus 5.3K for AgentOps. vLLM is depended on by 3 npm packages versus 2 for AgentOps.
AgentOps has raised $3M in total funding. AgentOps's most recent round was Seed. both companies operate in the AI Infrastructure category.
vLLM received 86 Hacker News mentions in the last 30 days compared to 6 for AgentOps. vLLM accounts for 5.2% of Hacker News discussion in its category.
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AgentOps: 633.3K downloads/mo, 5.3K GitHub stars, 2 dependents, $3M funded vs
vLLM: 5.6M downloads/mo, 72.3K GitHub stars, 342 active contributors, 3 dependents
Source: AI-Buzz AI company database.
- •vLLM leads in package downloads with 5.6M/mo (9x AgentOps)
- •vLLM has 72.3K GitHub stars (14x more)
- •vLLM has 3 npm dependents (2x more than AgentOps)
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| Metric | AgentOps | vLLM |
|---|---|---|
| Website | agentops.ai → | vllm.ai → |
| Description | Observability and testing platform for AI agents | Fast LLM inference engine. High-throughput serving for LLMs. |
| Total Funding | $3M✓ | - |
| Last Funding | Seed Feb 2024 | Not available |
| Developer Adoption | ||
| npm Downloads (30d) Source: npm registryUpdates: DailyNote: Only tracks npm, not yarn/pnpm installs | 423 | 30.2K✓ |
| PyPI Downloads (30d) Source: PyPI (pypistats.org)Updates: Daily | 632.9K | 5.5M✓ |
| Total Downloads (30d) | 633.3K+0% | 5.6M+0%✓ |
| Active Contributors (30d) Source: GitHub APIUpdates: Daily | 0 | 342✓ |
| npm Dependents Source: Libraries.io APIUpdates: DailyNote: Counts direct and dev dependents | 2 | 3✓ |
| HN Discussion Share | 0.4% of HN mentions | 5.2% of HN mentions |
| Status | Private | Private |
| HN Mentions (30d) Source: Hacker News (Algolia API)Updates: Daily | 6 | 86✓ |
| HN Mentions Trend (30d) | - | - |
| GitHub Stars Source: GitHub APIUpdates: Daily | 5.3K | 72.3K✓ |
| Founded | 2023 | 2023 |
| Primary Category | ||
| Data Last Updated | ||
Key Differences: AgentOps vs vLLM
In developer adoption, vLLM leads with 5.6M package downloads per month — roughly 9x the 633.3K downloads AgentOps receives. Both companies have packages on npm and PyPI.
AgentOps has raised $3M in funding, while vLLM does not have disclosed funding data. AgentOps's latest round was a Seed in 2024.
On GitHub, vLLM has 72.3K GitHub stars, 14x more than AgentOps's 5.3K.
In community signals, vLLM leads in Hacker News mindshare with 86 mentions in the past 30 days compared to 6 for AgentOps. Also, npm dependents are comparable at 2 for AgentOps and 3 for vLLM.
Both AgentOps and vLLM operate in the AI Infrastructure space, making them direct competitors for developer mindshare.
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