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Machine Learning · head to head

DVC vs Stellarium

DVC logo

DVC

Machine Learning

Git-style versioning for data sets and models, with the files kept in object storage

From
Free
Rated
-
Full reviewWebsite
Stellarium logo

Stellarium

Education

Free open source desktop planetarium software, distinct from the paid Stellarium Mobile Plus app

From
Free
Rated
-
Full reviewWebsite

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.; Stellarium it is desktop-only software, so it has no native touch-optimised phone interface; the similarly named mobile app is a different paid product from a different company.
  • They diverge on capability: DVC covers Pointer-file versioning, Stellarium covers Photorealistic sky rendering.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which DVC and Stellarium actually diverge.

Attributes where DVC and Stellarium differ
AttributeDVCStellarium
Pricing modelopen-sourceOpen source, no licence fee
PlatformsLinux, Mac, WindowsWindows, macOS, Linux
CategoryMachine LearningEducation
Founded2018Unknown

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 Stellarium

  • Photorealistic sky rendering
  • Large object catalogue
  • Telescope control
  • Scripting engine
  • Free and open source
  • Plugin ecosystem

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 Stellarium
  • Keeping large training data out of Git while still having a repository that describes it preciselynot Stellarium
  • Skipping expensive preprocessing stages that have not changed, when iterating on a later stage of a pipelinenot Stellarium
  • Teams that need reproducibility but cannot get approval or budget to stand up a platform for itnot Stellarium

Stellarium

  • A student or educator wanting a serious, scriptable planetarium tool without a budget line itemnot DVC
  • An amateur astronomer wanting telescope control from desktop software they can inspect and modifynot DVC
  • Someone running a planetarium display or public astronomy event on a scripted shownot DVC
  • A hobbyist who wants a large object catalogue without paying a subscription, and does not need a phone appnot 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.

Stellarium

  • It is desktop-only software, so it has no native touch-optimised phone interface; the similarly named mobile app is a different paid product from a different company.
  • As a volunteer-maintained open source project, support is community-based rather than a guaranteed commercial help desk.
  • The interface, while capable, is less immediately intuitive for a first-time user than a polished commercial phone app.
  • Telescope control and some advanced plugins require additional setup that a non-technical user may find fiddly.
  • Because it shares a name with the unrelated paid Stellarium Mobile Plus app, buyers researching pricing online can easily conflate the two products.

Pricing, plan by plan

DVC

Free
  • Open SourceFree
    • Data versioning
    • Pipeline management
    • Experiment tracking
  • DVC StudioFree
    • Web UI
    • Team collaboration
    • Visualizations

Stellarium

Free
  • Stellarium DesktopFree
    • Full software, GPL licensed
    • No account, ads or subscription
    • Community-developed plugins

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.
DVC review

Choose Stellarium if

  • You need photorealistic sky rendering.
  • You want to start without paying.
  • You work on Windows, macOS, Linux.
  • You also want large object catalogue.
Stellarium review

Questions people ask

Is DVC or Stellarium better?
Neither clearly leads. DVC starts at Free and Stellarium at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DVC or Stellarium?
DVC starts at Free and Stellarium at Free.
Does DVC or Stellarium run on more platforms?
DVC runs on Linux, Mac, Windows. Stellarium runs on Windows, macOS, Linux.
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 Stellarium is typically brought in for.
What can DVC do that Stellarium cannot?
DVC covers Pointer-file versioning, Remote storage backends, Pipeline definitions, Stage caching. Stellarium covers Photorealistic sky rendering, Large object catalogue, Telescope control, Scripting engine.

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.

Stellarium: Is Stellarium really free?

The desktop software is free and open source under the GPL licence. The separate mobile app, Stellarium Mobile Plus, is a different paid product.

DVC: 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.

Stellarium: Is the mobile app made by the same team?

No. Stellarium Mobile Plus is built by Noctua Software, a different company, and is sold on subscription.

DVC: 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.

Stellarium: What platforms does the free version run on?

Windows, macOS and Linux desktop.

DVC: 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.

DVC: 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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