Company research
As of May 5, 2026
Hacker News mentions decreased 98.9% over the last 30 days. Hacker News is discussion volume, not adoption.
Iterative
ML experiment tracking and data versioning with DVC and CML
AI InfrastructureFounded 2018#21 of 55 in AI Infrastructure
Updated May 29, 2026
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Company profile
What is Iterative?
Iterative is a company that builds open-source tools and a commercial platform for MLOps. They provide solutions for data and model versioning (DVC), continuous machine learning (CML), model management (MLEM), and experiment tracking (Studio). Their tools help machine learning teams streamline their workflows, manage data and models, and collaborate effectively in the AI ecosystem.
History
Research history
2 research updates
Ai Infrastructure
Iterative: Hacker News mentions decreased 98.9% over the last 30 days
LatestAi Infrastructure
Iterative: Hacker News mentions decreased 99% over the last 30 days
1 metricLatest company data
Primary data point
Downloads
3.1M/30d
Tracked package: PyPI dvc
▲ +25%Updated 1d ago
Other data points
Dependent projects
111
Projects depending on tracked package: PyPI dvc
Updated 9h ago
GitHub stars
15.6K
Main repository stars
Updated 9h ago
Code usage
1.4K
Public projects using this company's tools
Updated 9h ago
Repository health
Maintenance data from the main open-source repository.
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 Iterative.
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 →
1.4K0%
About Iterative
Iterative is a company that builds open-source tools and a commercial platform for MLOps. They provide solutions for data and model versioning (DVC), continuous machine learning (CML), model management (MLEM), and experiment tracking (Studio). Their tools help machine learning teams streamline their workflows, manage data and models, and collaborate effectively in the AI ecosystem.
FoundersDmitry Petrov, Ivan Shcheklein
Funding
$25M · 2 roundsRaised $25M total. Category position #21 of 55 in AI Infrastructure.
Series A2021
$20M468 Capital
Seed2020
$5MGradient Ventures, Afore Capital
Investors
468 CapitalAfore CapitalGradient Ventures
Tracked packages (1)
1 PyPI
dvc
PyPIMain PyPI packagedvc
ML experiment tracking and data versioning with DVC and CML