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Data as of June 10, 2026
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Deepchecks
Testing and monitoring framework for ML models and LLM apps
AI InfrastructureFounded 2021#39 of 55 in AI Infrastructure
Updated June 10, 2026
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Company profile
What is Deepchecks?
Testing and monitoring framework for ML models and LLM apps
Latest 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 →
47.0K/30d
Tracked package: PyPI deepchecks
▼ -4%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 →
8
Projects depending on tracked package: PyPI deepchecks
Updated 20h 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 →
4.0K
Main repository stars
Updated 20h ago
Public importing reposMetric: 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 →
92
Public GitHub dependency data for tracked company packages
Updated 20h 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 →
4.2
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 Deepchecks.
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 →
920%
About Deepchecks
Testing and monitoring framework for ML models and LLM apps
FoundersItay Ben-Dov, Philip Tannor, Shir Chorev
Funding
$14M · 1 roundRaised $14M total. Category position #39 of 55 in AI Infrastructure.
Seed2022
$14MAlpha Wave Ventures, Grove Ventures
Investors
Alpha Wave VenturesGrove Ventures
Tracked packages (1)
1 PyPI
deepchecks
PyPIMain PyPI packagedeepchecks
Testing and monitoring framework for ML models and LLM apps