--- title: "dvc vs modeldb" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/treeverse-dvc-vs-vertaai-modeldb" tools: ["treeverse-dvc", "vertaai-modeldb"] --- # dvc vs modeldb *GraphCanon updated Aug 4, 2026* ## Verdict Pick dvc if dVC is a command-line tool for reproducible ML projects, enabling data versioning, lightweight pipelines, experiment tracking, comparison, and sharing; pick modeldb if modelDB caters to Java developers focusing on open-source solutions for managing machine-learning model versions and experiments with Apache 2.0 licensing. [dvc](https://dvc.org) reports 16k GitHub stars, 1.3k forks, and 196 open issues, last pushed Jul 31, 2026. [modeldb](https://github.com/VertaAI/modeldb) has 1.7k stars, 289 forks, and 194 open issues, last pushed Jul 23, 2024. Figures are from public GitHub metadata via [dvc's repository](https://github.com/treeverse/dvc) and [modeldb's repository](https://github.com/VertaAI/modeldb). | | [dvc](/tools/treeverse-dvc.md) | [modeldb](/tools/vertaai-modeldb.md) | | --- | --- | --- | | Tagline | Data Versioning and ML Experiments | Open Source ML Model Versioning Metadata and Experiment Management | | Stars | 15,787 | 1,749 | | Forks | 1,320 | 289 | | Open issues | 196 | 194 | | Language | Python | Java | | Adopt for | DVC is a command-line tool for reproducible ML projects, enabling data versioning, lightweight pipelines, experiment tracking, comparison, and sharing. | ModelDB caters to Java developers focusing on open-source solutions for managing machine-learning model versions and experiments with Apache 2.0 licensing. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Data & Retrieval, Developer Tools | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dvc](/tools/treeverse-dvc.md) | [modeldb](/tools/vertaai-modeldb.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 3d | 741d | | Open issues (now) | 196 | 194 | | Full report | [trust report](/tools/treeverse-dvc/trust.md) | [trust report](/tools/vertaai-modeldb/trust.md) | ## Decision facts: dvc - **Adopt for:** DVC is a command-line tool for reproducible ML projects, enabling data versioning, lightweight pipelines, experiment tracking, comparison, and sharing. ## Decision facts: modeldb - **Adopt for:** ModelDB caters to Java developers focusing on open-source solutions for managing machine-learning model versions and experiments with Apache 2.0 licensing. ## Choose when ### Choose dvc if… - dvc is primarily Python; modeldb is Java. - Tags unique to dvc: ai, data-science, reproducibility, unstructured-data. - Also covers Data & Retrieval, Developer Tools. - Need to manage large datasets while only syncing version information with Git ### Choose modeldb if… - modeldb is primarily Java; dvc is Python. - Tags unique to modeldb: model-management, model-versioning. - Also covers Model Training. - Use ModelDB for projects where you need an open-source solution that supports Java applications and focuses on detail-rich management of ML models, metadata, and experiments. ## When NOT to use dvc - Looking for a GUI-focused tool for data versioning and analysis - Require full cloud orchestration services beyond basic DVCS capabilities - Project focuses on traditional software development with no ML involvement ## When NOT to use modeldb - Avoid ModelDB if the project primarily uses languages other than Java, as this could limit accessibility and integrate poorly without additional support systems. - Not recommended if your team requires specialized features for real-time model deployment or continuous integration that are not emphasized by ModelDB. ## Common questions ### What is the difference between dvc and modeldb? dvc: Data Versioning and ML Experiments. modeldb: Open Source ML Model Versioning Metadata and Experiment Management. See the comparison table for live GitHub stats and shared categories. ### When should I choose dvc over modeldb? Choose dvc over modeldb when dvc is primarily Python; modeldb is Java; Tags unique to dvc: ai, data-science, reproducibility, unstructured-data; Also covers Data & Retrieval, Developer Tools; Need to manage large datasets while only syncing version information with Git. ### When should I choose modeldb over dvc? Choose modeldb over dvc when modeldb is primarily Java; dvc is Python; Tags unique to modeldb: model-management, model-versioning; Also covers Model Training; Use ModelDB for projects where you need an open-source solution that supports Java applications and focuses on detail-rich management of ML models, metadata, and experiments. ### When should I avoid dvc? Looking for a GUI-focused tool for data versioning and analysis Require full cloud orchestration services beyond basic DVCS capabilities Project focuses on traditional software development with no ML involvement ### When should I avoid modeldb? Avoid ModelDB if the project primarily uses languages other than Java, as this could limit accessibility and integrate poorly without additional support systems. Not recommended if your team requires specialized features for real-time model deployment or continuous integration that are not emphasized by ModelDB. ### Is dvc or modeldb more popular on GitHub? dvc has more GitHub stars (15,787 vs 1,749). Stars measure visibility, not whether either tool fits your constraints. ### Are dvc and modeldb open source? Yes - both are open-source projects on GitHub (dvc: Apache-2.0, modeldb: Apache-2.0). ### Where can I find alternatives to dvc or modeldb? GraphCanon lists graph-backed alternatives at [dvc alternatives](/tools/treeverse-dvc/alternatives) and [modeldb alternatives](/tools/vertaai-modeldb/alternatives) ([dvc markdown twin](/tools/treeverse-dvc/alternatives.md), [modeldb markdown twin](/tools/vertaai-modeldb/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/treeverse-dvc-vs-vertaai-modeldb.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dvc or modeldb? dvc: Very active. modeldb: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for dvc and modeldb? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dvc trust report](/tools/treeverse-dvc/trust); [modeldb trust report](/tools/vertaai-modeldb/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=treeverse-dvc`](/api/graphcanon/graph?tool=treeverse-dvc) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_