Strongest current signal
Package downloads
2.0M/30d
Tracked on PyPI
ML experiment tracking and data versioning with DVC and CML
Best current coverage: 2.0M downloads/30d, 111 dependents, and 1.4K public repos.
Lead signals
Package pull and public code usage both show up clearly for Iterative.
Strongest current signal
2.0M/30d
Tracked on PyPI
111
Known dependents on PyPI
15.5K
Main repository stars
56/30d
Ranked #9 in category discussion
Research Brief
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package pull and existing public code are the clearest current signals for Iterative.
Package pull
2.0M/30d
Tracked package pull on PyPI
Existing public code
1.4K
Public repositories importing tracked packages
Downstream usage
111
Known dependents on PyPI
GitHub attention
15.5K
Main repository stars
Coverage includes npm and PyPI registries, GitHub, public code import detection, developer discussion, and recent company news where available. As of April 13, 2026. Methodology
Sustainability and maintenance signals from the primary public repository.
These signals come from public code import detection and tracked hiring posts rather than registry totals alone.
Public repositories and source files importing packages tied to Iterative.
Background and reference details
background, categories, funding, and tools stay collapsed until you need them.
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.
Raised $25M total - DAI rank #59 suggests moderate developer adoption relative to funding.
468 Capital
Gradient Ventures, Afore Capital
47K PyPI
ML experiment tracking and data versioning with DVC and CML
Open-source CI/CD for ML, automating machine learning workflows with Git.
Open-source version control system for machine learning projects, enabling data and model versioning.
Open-source tool for managing and deploying ML models, simplifying model lifecycle management.
A commercial platform for ML experiment tracking, model registry, and collaboration, built on DVC and CML.
Historical metrics for Iterative
Iterative: PyPI Downloads down 91% (503.2K to 46.6K). GitHub Stars up 1% (15.4K to 15.5K). HN Mentions down 89% (38 to 4).
| Date | PyPI Downloads | GitHub Stars | HN Mentions |
|---|---|---|---|
| Mar 15, 2026 | 503.2K | 15.4K | 38 |
| Mar 19, 2026 | - | - | - |
| Mar 22, 2026 | 486.4K | 15.4K | 28 |
| Mar 26, 2026 | - | - | - |
| Mar 29, 2026 | 493.5K | 15.5K | 4 |
| Apr 2, 2026 | - | - | - |
| Apr 5, 2026 | 455.6K | 15.5K | 0 |
| Apr 9, 2026 | - | - | - |
| Apr 10, 2026 | - | - | - |
| Apr 12, 2026 | 301.5K | 15.5K | 0 |
| Apr 13, 2026 | 46.6K | 15.5K | 0 |