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Machine Learning & Data Science · head to head

Comet ML vs GitHub

Comet ML logo

Comet ML

Machine Learning & Data Science

Platform for tracking, comparing, and optimizing ML experiments

From
Free
Rated
-
Full reviewWebsite
GitHub logo

GitHub

Technology

Where the world builds software

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention; GitHub acquired by Microsoft in 2018, reducing pure independence despite operational autonomy
  • They diverge on capability: Comet ML covers Experiment tracking, GitHub covers Git repositories.

Where they differ

Only the attributes on which Comet ML and GitHub actually diverge.

Attributes where Comet ML and GitHub differ
AttributeComet MLGitHub
Pricing modelfreemiumsubscription
PlatformsWeb, Linux, Mac, WindowsWeb, Desktop, Mobile
CategoryMachine Learning & Data ScienceTechnology
Founded20172008

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 Comet ML

  • Experiment tracking
  • Code versioning
  • Model registry
  • Hyperparameter optimization
  • Production monitoring
  • PyTorch
  • TensorFlow
  • Keras

Only in GitHub

  • Git repositories
  • Pull requests
  • Code review
  • Issues & projects
  • GitHub Actions CI/CD
  • GitHub Pages
  • Security scanning
  • Dependency management

What people use each for

The jobs each tool is most often brought in to do.

Comet ML

  • Tracking machine learning experiments, metrics and model versionsnot GitHub
  • Monitoring and evaluating LLM applications with tracingnot GitHub

GitHub

  • Version controlnot Comet ML
  • Code collaborationnot Comet ML
  • CI/CD pipelinesnot Comet ML
  • Project managementnot Comet ML
  • Documentation hostingnot Comet ML

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Comet ML

  • The free cloud tier caps data at 25,000 spans a month with 60 day retention
  • Retention stays at 60 days even on the paid Pro plan, and extending it is a $29 per 100k spans add on
  • Overage on Pro is $5 per additional 100,000 spans
  • The free MLOps tier is a single user with 100 GB of storage and training hours governed by a fair usage policy
  • Pro MLOps is $19 per user per month and caps the team at 10 users

GitHub

  • Acquired by Microsoft in 2018, reducing pure independence despite operational autonomy
  • Primary focus on source control differs from purpose-built project management tools like Jira
  • Pricing for enterprise features and private repositories adds up compared to some self-hosted alternatives

Pricing, plan by plan

Comet ML

Free
  • FreeFree
    • 100 experiments
    • Basic features
    • Community support
  • Team$179/month
    • Unlimited experiments
    • Team collaboration
    • Priority support

GitHub

Free
  • FreeFree
    • Unlimited public/private repos
    • 2,000 CI/CD minutes/month
    • 500MB package storage
  • Team$4/month
    • Everything in Free
    • 3,000 CI/CD minutes/month
    • 2GB package storage
  • Enterprise$21/month
    • Everything in Team
    • 50,000 CI/CD minutes/month
    • 50GB package storage

Which should you pick?

Choose Comet ML if

  • You need experiment tracking.
  • You want to start without paying.
  • You work on Web, Linux, Mac, Windows.
  • You also want code versioning.
Comet ML review

Choose GitHub if

  • You need git repositories.
  • You want to start without paying.
  • You work on Web, Desktop, Mobile.
  • You also want pull requests.
GitHub review

Questions people ask

Is Comet ML or GitHub better?
Neither clearly leads. Comet ML starts at Free and GitHub at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Comet ML or GitHub?
Comet ML starts at Free and GitHub at Free.
Does Comet ML or GitHub run on more platforms?
Comet ML runs on Web, Linux, Mac, Windows. GitHub runs on Web, Desktop, Mobile.
Can I use Comet ML for free?
Both have a free tier, so you can try either at no cost before committing.
What is Comet ML best used for?
Comet ML is most often used for tracking machine learning experiments, metrics and model versions, monitoring and evaluating llm applications with tracing. Of those, tracking machine learning experiments, metrics and model versions and monitoring and evaluating llm applications with tracing are not what GitHub is typically brought in for.
What can Comet ML do that GitHub cannot?
Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. GitHub covers Git repositories, Pull requests, Code review, Issues & projects.

Answered from the vendors’ own pages

GitHub: What is a Git repository and how does GitHub use it?

A repository is the centralized database that stores the complete collection of files and folders for a codebase, along with the revision history. GitHub uses Git to provide distributed version control access to repositories with version tracking, branching, and collaboration features.

Source
GitHub: How does GitHub authentication work?

When you connect to a GitHub repository from Git, you need to authenticate with GitHub using either HTTPS or SSH. GitHub supports multiple authentication methods including passwords, personal access tokens, SSH keys, and GitHub Apps.

Source
GitHub: How long has GitHub been operating?

GitHub was founded in 2008 and launched publicly on April 10, 2008, making it the dominant git hosting platform for nearly two decades.

Source
GitHub: Who owns GitHub and when did the acquisition occur?

Microsoft acquired GitHub for $7.5 billion USD, with the deal announced June 4, 2018 and completed October 26, 2018. GitHub operates as an independent subsidiary within Microsoft.

Source
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