LiteLLM has the stronger current footing across package adoption, installed base, and active contributors. vLLM's clearest relative edge is code adoption. LiteLLM operates in Developer Tools; vLLM in AI Infrastructure. Updated daily with live metrics.
At a glance
Sources: npm, PyPI, GitHub, Crunchbase, Hacker News, Reddit, and job boards. Methodology →
Comparable data synced April 6, 2026Comparison table
Core adoption signals first, supporting context second. Gaps stay visible instead of being rounded away.
← Scroll to compare columns →
| Metric | Gap | Updated Apr 6 | Updated Apr 6 |
|---|---|---|---|
Adoption & EcosystemThese signals carry the most weight for a production default. | |||
| Momentum score | LiteLLM +10 pts | 54 Moderate | 44 Moderate |
| Total package downloads (30d)Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managersMethodology → | LiteLLM 16x | 5.6M | 340.0K |
| npm registry downloads (30d)Source: npm registryUpdates: DailyNote: Includes all package installations including CI/CD pipelines and mirrorsMethodology → | vLLM +44 | 259 | 303 |
| PyPI registry downloads (30d)Source: PyPI (pypistats.org)Updates: DailyNote: Includes all package installations including CI/CD pipelines and mirrorsMethodology → | LiteLLM 16x | 5.6M | 339.7K |
| Package dependentsSource: npm + PyPI registriesUpdates: DailyNote: Counts dependent packages across tracked npm and PyPI packages.Methodology → | LiteLLM 4.1x | 2.4K npm 1 · PyPI 2.4K | 591 npm 3 · PyPI 588 |
| Active contributors/daySource: GH ArchiveUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activityMethodology → | LiteLLM 1.5x | 3 | 2 |
| Code adoption (repos)Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forksMethodology →Exclusive | vLLM 5.0x | 1 | 5 |
Community & AttentionHelpful context, but weaker than the adoption rows above. | |||
| GitHub starsSource: GitHub GraphQL + GH ArchiveUpdates: DailyNote: Stars are bookmarks - a popularity signal, not a usage indicatorMethodology → | vLLM 1.8x | 42.3K | 75.4K |
| Hacker News mentions (30d)Source: Hacker News (Algolia API)Updates: DailyMethodology → | LiteLLM 1.5x | 3 | 2 |
| HN discussion shareSource: Hacker News (Algolia API)Updates: DailyNote: Share of Hacker News mentions within the company's primary category.Methodology → | LiteLLM +15 pts | 18.1% | 3.3% |
| Reddit mentions (30d)Source: Reddit (search API)Updates: DailyNote: Counts posts and comments mentioning the company by name.Methodology →Exclusive | vLLM 9.0x | 1 | 9 |
Company DurabilityCapital and financing history provide context, not the whole call. | |||
| Total disclosed fundingSource: Public records / manual researchUpdates: WeeklyMethodology → | LiteLLM only | $500K | Not disclosed |
| Last funding round | LiteLLM only | Seed Jan 2024 | Not disclosed |
Data TrustCoverage and freshness stay visible instead of being hidden by the narrative. | |||
| Data confidenceSource: AI-BuzzUpdates: DailyNote: Composite score based on field completeness, metric freshness, and identifier coverage.Methodology → | LiteLLM +1 pts | Excellent (96%) | Excellent (95%) |
| Signals trackedSource: AI-BuzzUpdates: DailyNote: Number of tracked non-null signals in the core compare dataset.Methodology → | Even | 7/7 adoption, attention, and trust signals | 7/7 adoption, attention, and trust signals |
| Latest sync | Same | Apr 6, 2026 | Apr 6, 2026 |
Verdict
LiteLLM has higher absolute numbers on production adoption and installed base. Because they operate in different categories, the numbers measure different types of developer engagement rather than a direct head-to-head.
Production adoption
LiteLLM leads at 16x on package downloads. LiteLLM is at 5.6M/mo.
Installed base
LiteLLM leads at 4.1x in dependent packages.
Code adoption
vLLM leads at 5.0x in repos importing tracked packages.
Maintenance capacity
LiteLLM has the more active contributor base at 3 contributors/day.
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npm+PyPI downloads/mo: LiteLLM 5.6M vs vLLM 340.0K. GitHub stars: vLLM 75.4K vs LiteLLM 42.3K. npm dependents: vLLM 3 vs LiteLLM 1. Data as of April 6, 2026. Source: AI-Buzz Developer Adoption Index, ai-buzz.com/compare/litellm-vs-vllm. Accessed April 6, 2026.
