LiteLLM leads in npm + PyPI downloads at 8x; LanceDB has raised more funding at $10M; LanceDB leads in active contributors with 2 (30d); LanceDB leads in npm dependents with 311; LanceDB leads in code adoption with 453 repos importing. Updated daily with live metrics.
At a glance
Data sources: npm, PyPI, GitHub, Crunchbase, Hacker News, Reddit, job boards. Methodology →
Use this as the short, source-backed version of the call before you screenshot or cite the full table.
LanceDB: 326.0K npm + PyPI downloads/mo (+41% MoM), 9.7K GitHub stars, 2 active contributors, 311 dependents, 453 repos importing, $10M funded vs
LiteLLM: 2.5M npm + PyPI downloads/mo (+11% MoM), 41.5K GitHub stars, 1 active contributors, 1 dependents, 1 repos importing, $500K funded
Source: AI-Buzz Developer Adoption Index (DAI). Updated daily from 12 data sources. Methodology →
Evidence Table
Production signals first, softer context second. Winner states are explicit, and weak or missing data stays visible instead of being rounded away.
← Scroll to compare columns →
| Signal | Current edge | Updated Mar 30 | Updated Mar 30 |
|---|---|---|---|
Adoption & EcosystemThese signals carry the most weight for a production default. | |||
| Momentum | Current edge LiteLLM +12 pts | 32 Moderate | 44 Moderate |
| Total package downloads (30d)Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managersMethodology → | Current edge LiteLLM 7.5x | 326.0K +41% | 2.5M +11% |
| npm registry downloads (30d)Source: npm registryUpdates: DailyNote: Includes all package installations including CI/CD pipelines and mirrorsMethodology → | Current edge LanceDB 115x | 29.9K | 260 |
| PyPI registry downloads (30d)Source: PyPI (pypistats.org)Updates: DailyNote: Includes all package installations including CI/CD pipelines and mirrorsMethodology → | Current edge LiteLLM 8.3x | 296.1K | 2.5M |
| Package dependentsSource: npm + PyPI registriesUpdates: DailyNote: Counts dependent packages across tracked npm and PyPI packages.Methodology → | Current edge LiteLLM 3.3x | 709 npm 311 · PyPI 398 | 2.3K npm 1 · PyPI 2.3K |
| Active contributors/daySource: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activityMethodology → | Current edge LanceDB 2.0x | 2 | 1 -83% |
| Code adoption (repos)Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forksMethodology →Exclusive | Current edge LanceDB 453x | 453 | 1 |
Community & AttentionHelpful context, but weaker than the adoption rows above. | |||
| GitHub starsSource: GitHub APIUpdates: DailyNote: Stars are bookmarks - a popularity signal, not a usage indicatorMethodology → | Current edge LiteLLM 4.3x | 9.7K | 41.5K |
| Hacker News mentions (30d)Source: Hacker News (Algolia API)Updates: DailyMethodology → | Current edge LiteLLM 6.0x | 1 | 6 |
| HN discussion shareSource: Hacker News (Algolia API)Updates: DailyNote: Share of Hacker News mentions within the company's primary category.Methodology → | Current edge LiteLLM +1 pts | 0.7% | 1.3% |
| Reddit mentions (30d)Source: Reddit (search API)Updates: DailyNote: Counts posts and comments mentioning the company by name.Methodology →Exclusive | Current edge LiteLLM +1 | Not tracked | 1 |
Company DurabilityCapital and financing history provide context, not the whole call. | |||
| Total disclosed fundingSource: Public records / manual researchUpdates: WeeklyMethodology → | Current edge LanceDB 20x | $10M | $500K |
| Last funding round | Current edge Same | Seed Feb 2024 | Seed Jan 2024 |
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 → | Current edge LiteLLM +2 pts | Excellent (93%) | Excellent (95%) |
| Signals trackedSource: AI-BuzzUpdates: DailyNote: Number of tracked non-null signals in the core compare dataset.Methodology → | Current edge LiteLLM +1 | 6/7 adoption, attention, and trust signals | 7/7 adoption, attention, and trust signals |
| Latest sync | Current edge Same | Mar 30, 2026 | Mar 30, 2026 |
Verdict
LiteLLM has higher absolute numbers on production adoption and installed base. LanceDB has the better short-term growth signal. 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 7.5x on package downloads. LiteLLM is at 2.5M/mo.
Installed base
LiteLLM leads at 3.3x in dependent packages.
Code adoption
LanceDB leads at 453x in repos importing tracked packages.
Maintenance capacity
LanceDB has the more active contributor base at 2 contributors/day.
Use This Comparison
Cite, share, or export. Licensed under CC-BY-NC 4.0.
Decision memo
LiteLLM has higher absolute numbers on production adoption and installed base. LanceDB has the better short-term growth signal. Because they operate in different categories, the numbers measure different types of developer engagement rather than a direct head-to-head.
As of March 2026, LiteLLM has larger aggregate adoption numbers than LanceDB, but they serve different developer needs. Data tracked daily by AI-Buzz.
Basis of the call
Production adoption
LiteLLM leads at 7.5x on package downloads. LiteLLM is at 2.5M/mo.
Package downloads show how many teams run this in production - the strongest signal of real-world trust.
Installed base
LiteLLM leads at 3.3x in dependent packages.
Dependent packages mean other open-source projects rely on this - a multiplier for ecosystem stability.
Code adoption
LanceDB leads at 453x in repos importing tracked packages.
Repository imports show developers writing production code against this, not just installing or starring it.
Maintenance capacity
LanceDB has the more active contributor base at 2 contributors/day.
Active contributors reduce the risk of choosing a tool that stalls or becomes abandonware.
LanceDB operates in AI Infrastructure; LiteLLM in Foundation Models. These companies serve different developer needs, so adoption numbers reflect different types of engagement.
your priority is 453 repos importing, $10M disclosed funding and +41% MoM package growth.
your priority is 2.5M package downloads/mo and 2.3K dependent packages.
FAQ
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Keep Comparing
Get notified when LanceDB, LiteLLM adoption data changes. We update downloads, GitHub activity, and hiring signals daily.
Compare metric trends across companies over time
Comparing npm Downloads over 30 days: LanceDB (29.9K), LiteLLM (260).
Source: npm registry | Methodology | CC-BY-NC 4.0
| Date | LanceDB | LiteLLM |
|---|---|---|
| Mar 8 | 0 | 0 |
| Mar 15 | 0 | 0 |
| Mar 22 | 74.1K | 1.7K |
| Mar 29 | 37.2K | 622 |
| Mar 30 | 29.9K | 260 |
