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Software · head to head

GitHub vs Apache Spark MLlib

GitHub logo

GitHub

Software

Where the world builds software

From
Free
Rated
-
Full reviewWebsite
Apache Spark MLlib logo

Apache Spark MLlib

Software

Scalable machine learning on Apache Spark

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: GitHub acquired by Microsoft in 2018, reducing pure independence despite operational autonomy; Apache Spark MLlib apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.
  • They diverge on capability: GitHub covers Git repositories, Apache Spark MLlib covers Classification.

Where they differ

Only the attributes on which GitHub and Apache Spark MLlib actually diverge.

Attributes where GitHub and Apache Spark MLlib differ
AttributeGitHubApache Spark MLlib
Pricing modelsubscriptionopen-source
PlatformsWeb, Desktop, MobileLinux, macOS, Windows
Founded20081999

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).

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 GitHub

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

Only in Apache Spark MLlib

  • Classification
  • Regression
  • Clustering
  • Collaborative filtering
  • Feature engineering
  • Apache Spark
  • Hadoop
  • Kafka

What people use each for

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

GitHub

  • Version controlnot Apache Spark MLlib
  • Code collaborationnot Apache Spark MLlib
  • CI/CD pipelinesnot Apache Spark MLlib
  • Project managementnot Apache Spark MLlib
  • Documentation hostingnot Apache Spark MLlib

Apache Spark MLlib

  • Large-scale distributed machine learning on Spark clustersnot GitHub
  • Classification and regression with decision trees, random forests, gradient-boosted treesnot GitHub
  • Clustering with K-means and Gaussian Mixture Modelsnot GitHub

Where each one falls short

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

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

Apache Spark MLlib

  • Apache Spark MLlib is Apache 2.0 licensed and free with no paid tier from the Apache project itself; SLA-backed support has to be sourced from a third party such as a managed Spark vendor rather than from Apache.

Pricing, plan by plan

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

Apache Spark MLlib

Free

No published plan breakdown. See the Apache Spark MLlib review.

Which should you pick?

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

Choose Apache Spark MLlib if

  • You need classification.
  • You want to start without paying.
  • You work on Linux, macOS, Windows.
  • You also want regression.
Apache Spark MLlib review

Questions people ask

Is GitHub or Apache Spark MLlib better?
Neither clearly leads. GitHub starts at Free and Apache Spark MLlib at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, GitHub or Apache Spark MLlib?
GitHub starts at Free and Apache Spark MLlib at Free.
Does GitHub or Apache Spark MLlib run on more platforms?
GitHub runs on Web, Desktop, Mobile. Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use GitHub for free?
Both have a free tier, so you can try either at no cost before committing.
What is GitHub best used for?
GitHub is most often used for version control, code collaboration, ci/cd pipelines, project management. Of those, version control and code collaboration are not what Apache Spark MLlib is typically brought in for.
What can GitHub do that Apache Spark MLlib cannot?
GitHub covers Git repositories, Pull requests, Code review, Issues & projects. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.

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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