What is DVC?
Free and open source Git extension for version controlling data and machine learning models with software engineering best practices.
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
- Unknown
Platform & deployment
Independently observed- CLI
- macOS
- Linux
- Windows
- Self-hosted
Integrations (27)
Independently observed- Amazon SageMaker
- Databricks
- Evidently
- Hugging Face
- Hugging Face Accelerate
- Hugging Face Transformers
- Fast.ai
- Keras
- LightGBM
- MMCV
- Optuna
- PyTorch
- PyTorch Lightning
- PyTorch Lightning Fabric
- Scikit-learn
- TensorFlow
- XGBoost
- Ultralytics YOLO v8
- Amazon S3
- Azure Blob Storage
- Google Cloud Storage
- Google Drive
- Aliyun OSS
- SSH & SFTP
- HDFS & WebHDFS
- HTTP
- WebDAV
DVC alternatives
Other mlops & llmops tools we track, ranked by the same independent score.
- OllamaThe easiest way to build with open modelslow · 22%
- OllamaThe easiest way to build with open modelslow · 45%
- BasetenInference is everythinglow · 47%
- PortkeyProduction Stack for Gen AI Builderslow · 46%
- MLflowOpen Source AI Platform for Agents, LLMs & Modelslow · 47%
- Weights & BiasesThe AI developer platformlow · 25%
The Vioscale 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 | 75 | 0.19 | 14.0 | ✓ |
| Pricing Transparency | 80 | 0.09 | 7.5 | ✓ |
| Price Level | 100 | 0.06 | 5.8 | ✓ |
| Release Cadence | 91 | 0.06 | 5.3 | ✓ |
| Integrations | 42 | 0.10 | 4.4 | ✓ |
| Github Activity | 27 | 0.10 | 2.8 | ✓ |
| Github Stars | 79 | 0.03 | 2.3 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
| Security Posture | 0 | 0.07 | 0.0 | - |
| Package Downloads | 0 | 0.15 | 0.0 | - |
| Stackoverflow Activity | 0 | 0.07 | 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
| Attribute | Value | Evidence |
|---|---|---|
| Github stars | 15,784 | highsource · 2026-07-31 · 90% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | {"role":"framework","evaluation":false,"managed_cloud":false,"model_serving":false,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":false,"no_train_on_data":"unknown","llm_observability":false,"prompt_management":false,"framework_agnostic":true,"experiment_tracking":true} | mediumsource · 2026-08-05 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 27 | mediumsource · 2026-08-05 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-07-31 · 90% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-07-31 · 95% |
Pricing
Release
| Attribute | Value | Evidence |
|---|---|---|
| Cadence days | 16 | mediumsource · 2026-07-31 · 70% |