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Iterative

ML experiment tracking and data versioning with DVC and CML

AI InfrastructureFounded 2018#23 of 55 in AI Infrastructure

iterative.aiGitHubPyPI
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Company research

Current company data

No company research card is published for Iterative yet. The current company data below lists package and repository metrics AI-Buzz can inspect today; AI-Buzz publishes a card when recent public metrics show a measured change with dated evidence and cited sources.

Package downloads (30d)

2.4M/30d

Dependent projects

111

dependents · latest

GitHub stars

15.7K

Public importing repos

1.4K

repos · latest

Note: Public metrics are incomplete, and current data alone does not prove a trend; they do not show private usage, paid use, customer count, or product quality.

See latest dataHow we measure itAll research →

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.

Latest company data

Metric dates vary by source

Metric dates
PyPI downloads
PyPI dependents
GitHub stars
Public GitHub repos using company packages

Key metric

Package downloads (30d)

2.4M/30d

Tracked package: PyPI dvc

▼ -7%

Additional metrics

3 metrics

Metric

Dependent projects

111

Projects depending on tracked package: PyPI dvc

Metric

GitHub stars

15.7K

Main repository stars

Metric

Public importing repos

1.4K

Public GitHub dependency data for tracked company packages

Repository health

Maintenance data from the main open-source repository.

Releases (30d)
0

Repository usage

Public repositories and source files importing packages tied to Iterative.

Repos importing
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
iterative.aigithub.com/treeverse/dvcPyPI: dvc

Disclosed funding

Disclosed $25M · 2 rounds

Disclosed funding records total $25M. Category position #23 of 55 in AI Infrastructure.

Series A2021

468 Capital

$20M
Seed2020

Gradient Ventures, Afore Capital

$5M

Investors

468 CapitalAfore CapitalGradient Ventures

Tracked packages (1)

1 PyPI

dvc

PyPIMain PyPI package

dvc

ML experiment tracking and data versioning with DVC and CML