DVC
Version control system for data and machine learning artifacts with experiment tracking
- Also known as
- dvc
Available worldwide
What is DVC?
An open-source tool providing Git-style versioning for data, models, and experimental runs. It helps organize machine learning workflows by storing artifacts in cloud storage while maintaining version histories, enabling teams to reproduce and compare different experimental iterations.
DVC pricing
We don't have DVC's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.
Free and open source
What DVC does
The capabilities that matter for mlops & llmops tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Tool role
- Agent / RAG framework
- Self-hostable / OSS core
- ✓
- Managed cloud available
- ✓
- On-prem / VPC deployment
- ✓
- LLM tracing / observability
- -
- Evaluation (offline / LLM-judge / human)
- -
- Prompt management + versioning
- -
- Experiment tracking / model registry
- ✓
- Model serving / inference endpoint
- -
- OpenTelemetry / OpenLLMetry compatible
- -
- Framework-agnostic
- ✓
- Multi-provider model support
- ✓
- No-train-on-customer-data guarantee
- -
Platform & deployment
Independently observed- CLI
- On-premise
- Self-hosted
Integrations (13)
Independently observed- S3
- Azure
- Google Cloud Storage
- Hydra
- WebDAV
- SSH
- Amazon S3
- Microsoft Azure
- Google Drive
- Alibaba OSS
- GitHub
- GitLab
- VS Code•
Security & compliance
Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality
DVC FAQ
Common questions about DVC, answered from independent, dated evidence.
What is DVC?
A command-line tool that enables data science teams to version control datasets and models alongside code using Git-based workflows. It supports experiment tracking, local execution without servers, multi-step data pipelines, and integration with cloud storage providers. It is indexed under MLOps & LLMOps Tools.
Source: https://dvc.org
Is DVC free to use?
DVC is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.
Source: https://dvc.org
What platforms does DVC support?
DVC supports Windows, macOS, Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://dvc.org
Can DVC be self-hosted?
Yes. DVC can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://dvc.org
What does DVC integrate with?
We have confirmed 6 integrations for DVC, including S3, Azure, Google Cloud Storage, Hydra, WebDAV and SSH. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://dvc.org
Is DVC open source?
Yes. DVC is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
Source: https://github.com/iterative/dvc
DVC alternatives
Other mlops & llmops tools we track, ranked by the same independent score.
- PortkeyAn API gateway for routing requests across thousands of language models with built-in safety guardrailshigh · 76%
- LangChainA platform for building, testing, and operating AI agents at scalemedium · 70%
- BasetenAn inference platform for deploying and running AI models at scalemedium · 73%
- Together AICloud platform for deploying and running open-source AI models with optimized inferencemedium · 61%
- OllamaA platform for running open-source language models locally or in the cloud with cost-effective access.medium · 57%
- RayDistributed computing infrastructure for scaling machine learning applicationsmedium · 65%
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for DVC, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Capabilities | 81 | 0.07 | 5.7 | ✓ |
| Release cadence | 86 | 0.05 | 4.5 | ✓ |
| Development activity | 27 | 0.09 | 2.5 | ✓ |
| Integrations | 29 | 0.08 | 2.3 | ✓ |
| Security score | 55 | 0.04 | 2.3 | ✓ |
| Stars | 79 | 0.03 | 2.1 | ✓ |
| Dependent projects | 19 | 0.06 | 1.2 | ✓ |
| Security posture | 0 | 0.06 | 0.0 | - |
| Package downloads | 0 | 0.14 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 6 | mediumsource · 2026-07-31 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 6 items | mediumsource · 2026-09-10 · 66% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Role: framework · Managed cloud: Yes · Self hostable: Yes · Multi provider: Yes · Vpc deployment: Yes · Framework agnostic: Yes | mediumsource · 2026-09-14 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 9 | mediumsource · 2026-09-14 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-09-10 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-09-10 · 95% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-09-14 · 75% |
Pricing
Release
Security
| Attribute | Value | Evidence |
|---|---|---|
| Scorecard | 5.5 | highsource · 2026-09-10 · 90% |
| Vulnerabilities | Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=conda&package_name=dvc-s3&per_page=100 · Last 12m: 0 | highsource · 2026-08-26 · 90% |
| Trust center | https://dvc.org/blog/tags/security/ | mediumsource · 2026-09-14 · 60% |
Is DVC the right choice for you?
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