Machine Learning · head to head
DVC vs Semgrep
DVC
Machine Learning
Git-style versioning for data sets and models, with the files kept in object storage
- From
- Free
- Rated
- -
Semgrep
Cybersecurity
Open-source static analysis tool for finding security bugs and enforcing code standards.
- From
- Free
- Rated
- -
The short version
- Each has a real cost: DVC dVC knows only about files that were added through DVC, so one person copying data in by hand leaves a pipeline that reproduces to a different answer with no error and nothing to indicate which result is the real one.; Semgrep free tier caps out at 10 contributors and 10 repositories.
- They diverge on capability: DVC covers Pointer-file versioning, Semgrep covers Static code scanning.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which DVC and Semgrep actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in DVC
- Pointer-file versioning
- Remote storage backends
- Pipeline definitions
- Stage caching
- Experiment tracking
- Metrics and plots comparison
- Data registry pattern
- Content-addressed cache
Only in Semgrep
- Static code scanning
- Supply chain scanning
- Secrets detection
- Cross-file analysis
- AI-powered triage and remediation
- CI/CD integration
What people use each for
The jobs each tool is most often brought in to do.
DVC
- Making a model reproducible by tying the exact data set version, code commit and parameters together in one Git historynot Semgrep
- Keeping large training data out of Git while still having a repository that describes it preciselynot Semgrep
- Skipping expensive preprocessing stages that have not changed, when iterating on a later stage of a pipelinenot Semgrep
- Teams that need reproducibility but cannot get approval or budget to stand up a platform for itnot Semgrep
Semgrep
- Scanning code for security vulnerabilities in CI/CDnot DVC
- Detecting vulnerable open-source dependenciesnot DVC
- Finding hardcoded secrets before code shipsnot DVC
- Enforcing custom code standards with rule setsnot DVC
- Prioritizing findings with AI-assisted triagenot DVC
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
DVC
- DVC knows only about files that were added through DVC, so one person copying data in by hand leaves a pipeline that reproduces to a different answer with no error and nothing to indicate which result is the real one.
- Every tracked revision writes a new pointer into Git and a new copy into the remote cache, so a data set revised daily accumulates full copies in object storage and the storage bill grows with the length of the history rather than the size of the data.
- Merge conflicts in dvc.lock and dvc.yaml are routine on parallel branches and are unreadable to anyone who has not learned the format, which in practice means the person who introduced DVC resolves all of them.
- Checking out a large data set materialises it in the working directory, so a laptop working against a repository with several hundred gigabytes tracked needs disk for the workspace and the cache together, and the reflink or hardlink optimisations that avoid doubling that are filesystem-dependent.
- It has no access control of its own and inherits whatever the remote grants, so a repository everyone can read plus a bucket everyone can read means everyone can reconstruct every historical version of every data set, which is frequently not what was intended.
Semgrep
- Free tier caps out at 10 contributors and 10 repositories.
- Secrets scanning is priced as a separate module ($15/contributor) from Code and Supply Chain.
- Self-managed repositories and custom CI/CD require the Enterprise tier.
- AI credits are limited per tier and additional usage requires upgrading.
Pricing, plan by plan
DVC
Free- Open SourceFree
- Data versioning
- Pipeline management
- Experiment tracking
- DVC StudioFree
- Web UI
- Team collaboration
- Visualizations
Semgrep
Free- FreeFree
- Up to 10 contributors
- Code and Supply Chain scanning
- 60 AI credits total
- Teams$30/month
- Code, Supply Chain, or Secrets scanning per contributor
- Pro rules
- AI-powered triage and remediation
- Enterprise$undefined/month
- On-prem support
- Custom CI/CD
- 50 AI credits per developer/month
Which should you pick?
Choose DVC if
- You need pointer-file versioning.
- You want to start without paying.
- You work on Linux, Mac, Windows.
- You also want remote storage backends.
Choose Semgrep if
- You need static code scanning.
- You want to start without paying.
- You work on web, api, linux, mac, windows.
- You also want supply chain scanning.
Questions people ask
- Is DVC or Semgrep better?
- Neither clearly leads. DVC starts at Free and Semgrep at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DVC or Semgrep?
- DVC starts at Free and Semgrep at Free.
- Does DVC or Semgrep run on more platforms?
- DVC runs on Linux, Mac, Windows. Semgrep runs on web, api, linux, mac, windows.
- Can I use DVC for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is DVC best used for?
- DVC is most often used for making a model reproducible by tying the exact data set version, code commit and parameters together in one git history, keeping large training data out of git while still having a repository that describes it precisely, skipping expensive preprocessing stages that have not changed, when iterating on a later stage of a pipeline, teams that need reproducibility but cannot get approval or budget to stand up a platform for it. Of those, making a model reproducible by tying the exact data set version, code commit and parameters together in one git history and keeping large training data out of git while still having a repository that describes it precisely are not what Semgrep is typically brought in for.
- What can DVC do that Semgrep cannot?
- DVC covers Pointer-file versioning, Remote storage backends, Pipeline definitions, Stage caching. Semgrep covers Static code scanning, Supply chain scanning, Secrets detection, Cross-file analysis.
Answered from the vendors’ own pages
DVC: Does DVC put my data in Git?
No. Git gets a small pointer file containing a hash. The data goes to a cache on disk and to a remote you configure, such as an S3 bucket.
Semgrep: What does Semgrep cost?
The Free edition covers up to 10 contributors; Teams starts at $30/contributor/month for Code scanning (Supply Chain also $30, Secrets $15); Enterprise is custom-priced.
SourceDVC: Do I need to run a server?
No, and that is most of its appeal. It is a command line tool plus storage you already have. DVC Studio, the hosted web interface, is optional and separately paid.
Semgrep: Is there a free plan, and what are its limits?
Yes, the Free edition supports up to 10 contributors and 10 repositories with Code and Supply Chain scanning plus 60 AI credits total.
SourceDVC: How is it different from Git LFS?
Git LFS versions large files and stops there. DVC also defines pipelines, tracks which stage produced which output, records metrics and lets you compare experiments, and it works with ordinary object storage rather than an LFS server.
Semgrep: How is usage metered?
Pricing is per contributor, defined as someone who made at least one commit to a scanned private repository in the past 90 days.
SourceDVC: Is it free?
The tool is Apache 2.0 and free. You pay for the object storage that holds the data, and optionally for DVC Studio.
Semgrep: Is there special pricing for startups?
Yes, Semgrep offers special startup pricing upon request for early-stage companies.
SourceDVC: Can several people work on the same data set?
Yes, through the shared remote, but only if all of them use DVC for every change. The tool cannot enforce a discipline it does not own, and a single manual copy silently breaks the guarantee.
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