Hugging Face leads in npm + PyPI downloads at 9x; Hugging Face has raised more funding at $394M; Hugging Face leads in active contributors with 2 (30d); LanceDB leads in npm dependents with 311; Hugging Face leads in code adoption with 33.0K 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.
Hugging Face: 2.9M npm + PyPI downloads/mo (+3% MoM), 158.5K GitHub stars, 2 active contributors, 284 dependents, 33.0K repos importing, $394M funded vs
LanceDB: 326.0K npm + PyPI downloads/mo (+41% MoM), 9.7K GitHub stars, 2 active contributors, 311 dependents, 453 repos importing, $10M 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 Hugging Face +9 pts | 41 Moderate | 32 Moderate |
| Total package downloads (30d)Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managersMethodology → | Current edge Hugging Face 8.8x | 2.9M +3% (2 packages) | 326.0K +41% |
| npm registry downloads (30d)Source: npm registryUpdates: DailyNote: Includes all package installations including CI/CD pipelines and mirrorsMethodology → | Current edge Hugging Face +5.4K | 35.3K (2 packages) | 29.9K |
| PyPI registry downloads (30d)Source: PyPI (pypistats.org)Updates: DailyNote: Includes all package installations including CI/CD pipelines and mirrorsMethodology → | Current edge Hugging Face 9.5x | 2.8M (2 packages) | 296.1K |
| Package dependentsSource: npm + PyPI registriesUpdates: DailyNote: Counts dependent packages across tracked npm and PyPI packages.Methodology → | Current edge Hugging Face 13x | 9.6K npm 284 · PyPI 9.3K | 709 npm 311 · PyPI 398 |
| Active contributors/daySource: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activityMethodology → | Current edge Even | 2 0% | 2 |
| Code adoption (repos)Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forksMethodology →Exclusive | Current edge Hugging Face 73x | 33.0K | 453 |
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 Hugging Face 16x | 158.5K | 9.7K |
| Hacker News mentions (30d)Source: Hacker News (Algolia API)Updates: DailyMethodology → | Current edge Hugging Face 4.0x | 4 | 1 |
| HN discussion shareSource: Hacker News (Algolia API)Updates: DailyNote: Share of Hacker News mentions within the company's primary category.Methodology → | Current edge Hugging Face +2 pts | 2.2% | 0.7% |
| Reddit mentions (30d)Source: Reddit (search API)Updates: DailyNote: Counts posts and comments mentioning the company by name.Methodology →Exclusive | Current edge Hugging Face +11 | 11 | Not tracked |
| Job mentions (30d)Source: Job board aggregationUpdates: DailyNote: Counts job listings that mention the company's technology.Methodology →Exclusive | Current edge Hugging Face +5 | 5 | Not tracked |
Company DurabilityCapital and financing history provide context, not the whole call. | |||
| Total disclosed fundingSource: Public records / manual researchUpdates: WeeklyMethodology → | Current edge Hugging Face 39x | $394M | $10M |
| Last funding round | Current edge Different | Series D Aug 2023 | Seed Feb 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 Hugging Face +3 pts | Excellent (96%) | Excellent (93%) |
| Signals trackedSource: AI-BuzzUpdates: DailyNote: Number of tracked non-null signals in the core compare dataset.Methodology → | Current edge Hugging Face +1 | 7/7 adoption, attention, and trust signals | 6/7 adoption, attention, and trust signals |
| Latest sync | Current edge Same | Mar 30, 2026 | Mar 30, 2026 |
Verdict
Hugging Face 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
Hugging Face leads at 8.8x on package downloads. Hugging Face is at 2.9M/mo.
Installed base
Hugging Face leads at 13x in dependent packages.
Code adoption
Hugging Face leads at 73x in repos importing tracked packages.
Maintenance capacity
Hugging Face 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
Hugging Face 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, Hugging Face 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
Hugging Face leads at 8.8x on package downloads. Hugging Face is at 2.9M/mo.
Package downloads show how many teams run this in production - the strongest signal of real-world trust.
Installed base
Hugging Face leads at 13x in dependent packages.
Dependent packages mean other open-source projects rely on this - a multiplier for ecosystem stability.
Code adoption
Hugging Face leads at 73x in repos importing tracked packages.
Repository imports show developers writing production code against this, not just installing or starring it.
Maintenance capacity
Hugging Face has the more active contributor base at 2 contributors/day.
Active contributors reduce the risk of choosing a tool that stalls or becomes abandonware.
Hugging Face operates in Foundation Models; LanceDB in AI Infrastructure. These companies serve different developer needs, so adoption numbers reflect different types of engagement.
your priority is 2.9M package downloads/mo, 9.6K dependent packages and 33.0K repos importing.
your priority is +41% MoM package growth.
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Get notified when Hugging Face, LanceDB 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: Hugging Face (35.3K), LanceDB (29.9K).
Source: npm registry | Methodology | CC-BY-NC 4.0
| Date | Hugging Face | LanceDB |
|---|---|---|
| Mar 8 | 0 | 0 |
| Mar 15 | 0 | 0 |
| Mar 22 | 61.0K | 74.1K |
| Mar 29 | 46.4K | 37.2K |
| Mar 30 | 35.3K | 29.9K |
