Company research
As of June 10, 2026
GitHub commits increased 144.1% over the last 30 days.
daily public-repo contributors increased 57.7% over the last 30 days.
LanceDB
Serverless vector database built on Lance columnar format
AI InfrastructureFounded 2022#8 of 54 in AI Infrastructure
Updated June 10, 2026
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Company profile
What is LanceDB?
LanceDB is an open-source, serverless vector database developed by Enzyme. It leverages the efficient Lance columnar data format to provide fast and scalable storage and retrieval of high-dimensional vectors, crucial for modern AI applications like semantic search and recommendation systems. Its design aims to simplify the deployment and management of vector data infrastructure for developers.
History
Research history
7 research updates
History
Research history
Ai Infrastructure
LanceDB: GitHub commits increased 128.6% over the last 30 days
2 metricsAi Infrastructure
LanceDB: GitHub commits increased 122.9% over the last 30 days
2 metricsAi Infrastructure
LanceDB: GitHub commits increased 132.4% over the last 30 days
2 metricsAi Infrastructure
LanceDB: GitHub commits increased 145.5% over the last 30 days
2 metricsAi Infrastructure
LanceDB: GitHub commits increased 151.6% over the last 30 days
2 metricsAi Infrastructure
LanceDB: GitHub commits increased 158.6% over the last 30 days
2 metricsAi Infrastructure
LanceDB: GitHub commits increased 127.6% over the last 30 days
2 metricsLatest company data
Primary data point
Package downloads (30d)Metric: npm downloadsSource: npm registryScope: UTC activity dayUpdates: DailyFreshness: 48h target; 36h expected source lagConfidence: HighCaveat: Includes all package installations including CI/CD pipelines and mirrors.Methodology →Metric: PyPI downloadsSource: PyPI BigQueryScope: UTC activity dayUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Includes all package installations including CI/CD pipelines and mirrors; pypistats is fallback only.Methodology →
10.3M/30d
- npm
- 2.7M
- PyPI
- 7.5M
Tracked packages: npm @lancedb/lancedb; PyPI lancedb
▲ +3%npm + PyPI: Updated 1d ago
Other data points
Dependent projectsMetric: npm dependentsSource: Libraries.io APIScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Counts direct and dev dependents.Methodology →Metric: PyPI dependentsSource: Libraries.io APIScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Counts direct reverse dependencies from PyPI.Methodology →
1.1K
- npm
- 480
- PyPI
- 570
Projects depending on tracked packages: npm @lancedb/lancedb; PyPI lancedb
npm + PyPI: Updated 18h ago
GitHub starsMetric: GitHub starsSource: GitHub GraphQL + GH ArchiveScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 24h expected source lagConfidence: HighCaveat: Stars are bookmarks, not usage.Methodology →
10.6K
Main repository stars
Updated 18h ago
Hacker NewsMetric: Hacker News mentionsSource: Hacker News Algolia APIScope: UTC activity dayUpdates: DailyFreshness: 48h target; 24h expected source lagConfidence: HighCaveat: Search relevance and historical availability come from Algolia's HN index.Methodology →
2/30d
Position #40 in category discussion
Updated 18h ago
Repository health
Maintenance data from the main open-source repository.
Key-person riskSource: GitHub public event dataUpdates: WeeklyCaveat: Minimum developers needed for half of recent code changes. Lower = higher concentration risk.Methodology →
3
External contributorsSource: GitHub public event dataUpdates: WeeklyCaveat: Based on push events; may undercount contributors who only open PRsMethodology →
27
% of recent contributors outside the core team
Releases (30d)Source: GitHub release dataUpdates: WeeklyCaveat: Published releases in the last 30 daysMethodology →
0
Repository usage
Public repositories and source files importing packages tied to LanceDB.
Repos importingMetric: Public GitHub repos using company packagesSource: ecosyste.ms Packages APIScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Public GitHub dependency data only; private repos and direct API use outside those packages are not visible.Methodology →
4530%
About LanceDB
LanceDB is an open-source, serverless vector database developed by Enzyme. It leverages the efficient Lance columnar data format to provide fast and scalable storage and retrieval of high-dimensional vectors, crucial for modern AI applications like semantic search and recommendation systems. Its design aims to simplify the deployment and management of vector data infrastructure for developers.
FoundersChang She, Geng Li, Alexandre Decan
Funding
$10M · 2 roundsRaised $10M total. Category position #8 of 54 in AI Infrastructure.
Seed2024
$8MCRV
Seed2023
$2MEssence VC
Investors
CRVEssence VC
Tracked packages (2)
1 npm, 1 PyPI
@lancedb/lancedb
npmMain npm package@lancedb/lancedb
Serverless vector database built on Lance columnar format
lancedb
PyPIMain PyPI packagelancedb
Serverless vector database built on Lance columnar format