Company research
As of June 10, 2026
GitHub commits increased 45.5% over the last 30 days.
Voxel51
Open-source toolkit for building computer vision datasets
AI InfrastructureFounded 2016#25 of 55 in AI Infrastructure
Updated June 10, 2026
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Company profile
What is Voxel51?
Voxel51 is the company behind FiftyOne, an open-source toolkit designed to help machine learning engineers and researchers build high-quality computer vision datasets and models. Their platform provides tools for dataset visualization, evaluation, and curation, enabling users to improve the performance and reliability of their AI applications.
History
Research history
7 research updates
History
Research history
Ai Infrastructure
Voxel51: GitHub commits increased 33.5% over the last 30 days
1 metricAi Infrastructure
Voxel51: GitHub commits increased 34.7% over the last 30 days
1 metricAi Infrastructure
Voxel51: GitHub commits increased 44.2% over the last 30 days
2 metricsAi Infrastructure
Voxel51: GitHub commits increased 38.9% over the last 30 days
2 metricsAi Infrastructure
Voxel51: GitHub commits increased 61.3% over the last 30 days
2 metricsAi Infrastructure
Voxel51: GitHub commits increased 43.3% over the last 30 days
2 metricsAi Infrastructure
Voxel51: GitHub commits increased 39.5% over the last 30 days
2 metricsLatest company data
Primary data point
Package downloads (30d)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 →
139.9K/30d
Tracked package: PyPI fiftyone
▼ -9%Updated 1d ago
Other data points
Dependent projectsMetric: PyPI dependentsSource: Libraries.io APIScope: UTC daily snapshotUpdates: DailyFreshness: 48h target; 48h expected source lagConfidence: HighCaveat: Counts direct reverse dependencies from PyPI.Methodology →
33
Projects depending on tracked package: PyPI fiftyone
Updated 14h 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 →
10.8K
Main repository stars
Updated 14h ago
Daily public-repo contributorsMetric: Daily public-repo contributorsSource: GH ArchiveScope: UTC activity dayUpdates: DailyFreshness: 48h target; 36h expected source lagConfidence: MediumCaveat: Daily public PushEvent activity for designated repos; not a full engineering headcount or trailing-window contributor total.Methodology →
3
Distinct GitHub PushEvent actors in tracked public repos
▼ -31%Updated 14h ago
Repository health
Maintenance data from the main open-source repository.
OpenSSF ScorecardSource: OpenSSF ScorecardUpdates: WeeklyCaveat: Score 0–10 across security practices; not all checks apply to every repoMethodology →
5.9
Key-person riskSource: GitHub public event dataUpdates: WeeklyCaveat: Minimum developers needed for half of recent code changes. Lower = higher concentration risk.Methodology →
4
External contributorsSource: GitHub public event dataUpdates: WeeklyCaveat: Based on push events; may undercount contributors who only open PRsMethodology →
32
% 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 Voxel51.
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 →
640%
About Voxel51
Voxel51 is the company behind FiftyOne, an open-source toolkit designed to help machine learning engineers and researchers build high-quality computer vision datasets and models. Their platform provides tools for dataset visualization, evaluation, and curation, enabling users to improve the performance and reliability of their AI applications.
FoundersJason Corso, Brian Moore
Funding
$45M · 3 roundsRaised $45M total. Category position #25 of 55 in AI Infrastructure.
Series B2024
$30MBessemer Venture Partners
Series A2022
$13MDrive Capital
Seed2020
$3MeLab Ventures
Investors
Bessemer Venture PartnersDrive CapitaleLab Ventures
Tracked packages (1)
1 PyPI
fiftyone
PyPIMain PyPI packagefiftyone
Open-source toolkit for building computer vision datasets