LangChain leads in npm + PyPI downloads at 27x; LangChain has raised more funding at $35M; LangChain leads in active contributors with 5 (30d); LangChain leads in npm dependents with 1.6K; LangChain leads in code adoption with 21.6K 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
LangChain: 8.8M npm + PyPI downloads/mo (-4% MoM), 131.6K GitHub stars, 5 active contributors, 1.6K dependents, 21.6K repos importing, $35M 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 LangChain +5 pts | 32 Moderate | 37 Moderate |
| Total package downloads (30d)Source: npm + PyPI registriesUpdates: DailyNote: Sum of npm and PyPI; excludes other package managersMethodology → | Current edge LangChain 27x | 326.0K +41% | 8.8M -4% (2 packages) |
| npm registry downloads (30d)Source: npm registryUpdates: DailyNote: Includes all package installations including CI/CD pipelines and mirrorsMethodology → | Current edge LangChain 17x | 29.9K | 503.7K (2 packages) |
| PyPI registry downloads (30d)Source: PyPI (pypistats.org)Updates: DailyNote: Includes all package installations including CI/CD pipelines and mirrorsMethodology → | Current edge LangChain 28x | 296.1K | 8.3M (2 packages) |
| Package dependentsSource: npm + PyPI registriesUpdates: DailyNote: Counts dependent packages across tracked npm and PyPI packages.Methodology → | Current edge LangChain 8.7x | 709 npm 311 · PyPI 398 | 6.1K npm 1.6K · PyPI 4.5K |
| Active contributors/daySource: GitHub APIUpdates: DailyNote: Tracks designated public repos per company, not all company GitHub activityMethodology → | Current edge LangChain 2.5x | 2 | 5 +3 contributors |
| Code adoption (repos)Source: ecosyste.ms Packages APIUpdates: DailyNote: Approximate count; excludes forksMethodology →Exclusive | Current edge LangChain 48x | 453 | 21.6K |
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 LangChain 14x | 9.7K | 131.6K |
| Hacker News mentions (30d)Source: Hacker News (Algolia API)Updates: DailyMethodology → | Current edge Even | 1 | 1 |
| HN discussion shareSource: Hacker News (Algolia API)Updates: DailyNote: Share of Hacker News mentions within the company's primary category.Methodology → | Current edge LangChain +1 pts | 0.7% | 1.4% |
| Job mentions (30d)Source: Job board aggregationUpdates: DailyNote: Counts job listings that mention the company's technology.Methodology →Exclusive | Current edge LangChain +5 | Not tracked | 5 |
Company DurabilityCapital and financing history provide context, not the whole call. | |||
| Total disclosed fundingSource: Public records / manual researchUpdates: WeeklyMethodology → | Current edge LangChain 3.5x | $10M | $35M |
| Last funding round | Current edge Different | Seed Feb 2024 | Series A 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 LangChain +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 Even | 6/7 adoption, attention, and trust signals | 6/7 adoption, attention, and trust signals |
| Latest sync | Current edge Same | Mar 30, 2026 | Mar 30, 2026 |
Verdict
LangChain 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
LangChain leads at 27x on package downloads. LangChain is at 8.8M/mo.
Installed base
LangChain leads at 8.7x in dependent packages.
Code adoption
LangChain leads at 48x in repos importing tracked packages.
Maintenance capacity
LangChain has the more active contributor base at 5 contributors/day.
Use This Comparison
Cite, share, or export. Licensed under CC-BY-NC 4.0.
Decision memo
LangChain 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, LangChain 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
LangChain leads at 27x on package downloads. LangChain is at 8.8M/mo.
Package downloads show how many teams run this in production - the strongest signal of real-world trust.
Installed base
LangChain leads at 8.7x in dependent packages.
Dependent packages mean other open-source projects rely on this - a multiplier for ecosystem stability.
Code adoption
LangChain leads at 48x in repos importing tracked packages.
Repository imports show developers writing production code against this, not just installing or starring it.
Maintenance capacity
LangChain has the more active contributor base at 5 contributors/day.
Active contributors reduce the risk of choosing a tool that stalls or becomes abandonware.
LanceDB operates in AI Infrastructure; LangChain in Foundation Models. These companies serve different developer needs, so adoption numbers reflect different types of engagement.
your priority is +41% MoM package growth.
your priority is 8.8M package downloads/mo, 6.1K dependent packages and 21.6K repos importing.
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Get notified when LanceDB, LangChain 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: LangChain (503.7K), LanceDB (29.9K).
Source: npm registry | Methodology | CC-BY-NC 4.0
| Date | LanceDB | LangChain |
|---|---|---|
| Mar 8 | 0 | 0 |
| Mar 15 | 0 | 0 |
| Mar 22 | 74.1K | 1.3M |
| Mar 29 | 37.2K | 470.1K |
| Mar 30 | 29.9K | 503.7K |
