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Codacy vs Apache Spark MLlib

Codacy logo

Codacy

Software Development

Automated code review platform for code quality and security scanning.

From
Free
Rated
-
Full reviewWebsite
Apache Spark MLlib logo

Apache Spark MLlib

Machine Learning

Scalable machine learning on Apache Spark

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Codacy team plan is capped at 30 developers before Business pricing is required.; 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: Codacy covers Automated code review, Apache Spark MLlib covers Classification.

Where they differ

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

Attributes where Codacy and Apache Spark MLlib differ
AttributeCodacyApache Spark MLlib
Pricing modelfreemiumopen-source
Platformsweb, apiLinux, macOS, Windows
CategorySoftware DevelopmentMachine Learning
FoundedUnknown1999

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 Codacy

  • Automated code review
  • Security scanning
  • IDE plugin
  • Merge gates
  • Coverage reports
  • Jira and Slack integration

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.

Codacy

  • Automating pull request code reviewnot Apache Spark MLlib
  • Enforcing shared coding standards across teamsnot Apache Spark MLlib
  • Scanning for secrets and vulnerable dependenciesnot Apache Spark MLlib
  • Tracking test coverage over timenot Apache Spark MLlib
  • Blocking merges that fail quality gatesnot Apache Spark MLlib

Apache Spark MLlib

  • Machine learningnot Codacy
  • Data sciencenot Codacy
  • Distributed computingnot Codacy

Where each one falls short

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

Codacy

  • Team plan is capped at 30 developers before Business pricing is required.
  • Advanced security features like DAST and container scanning are Business-tier only.
  • Business plan pricing is not published and requires contacting sales.
  • Annual plans require 30 days' notice to modify or cancel before renewal.

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

Codacy

Free
  • DeveloperFree
    • IDE plugin with real-time feedback
    • Security and quality scans
    • 38 languages supported
  • Team$18/month
    • Up to 30 developers
    • Up to 100 private repos, unlimited lines of code
    • AI Reviewer
  • Business$undefined/month
    • Unlimited private projects
    • Priority scan queue
    • DAST and container scanning

Apache Spark MLlib

Free

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

Which should you pick?

Choose Codacy if

  • You need automated code review.
  • You want to start without paying.
  • You work on web, api.
  • You also want security scanning.
Codacy 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 Codacy or Apache Spark MLlib better?
Neither clearly leads. Codacy 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, Codacy or Apache Spark MLlib?
Codacy starts at Free and Apache Spark MLlib at Free.
Does Codacy or Apache Spark MLlib run on more platforms?
Codacy runs on web, api. Apache Spark MLlib runs on Linux, macOS, Windows.
Can I use Codacy for free?
Both have a free tier, so you can try either at no cost before committing.
What is Codacy best used for?
Codacy is most often used for automating pull request code review, enforcing shared coding standards across teams, scanning for secrets and vulnerable dependencies, tracking test coverage over time. Of those, automating pull request code review and enforcing shared coding standards across teams are not what Apache Spark MLlib is typically brought in for.
What can Codacy do that Apache Spark MLlib cannot?
Codacy covers Automated code review, Security scanning, IDE plugin, Merge gates. Apache Spark MLlib covers Classification, Regression, Clustering, Collaborative filtering.

Answered from the vendors’ own pages

Codacy: What does Codacy cost?

The Developer plan is free forever; Team starts at $18/dev/month billed yearly (or $21 monthly); Business is custom-priced for enterprise requirements.

Source
Apache Spark MLlib: How much does Apache Spark MLlib cost?

MLlib is completely free and open source, licensed under the Apache License Version 2.0. There are no subscription, licensing, or usage fees.

Source
Codacy: Is there a free plan, and what are its limits?

Yes, the Developer plan is free forever for individuals, including IDE feedback, scan-as-you-type, and security and quality scans across 38 languages.

Source
Apache Spark MLlib: What licensing does MLlib use?

MLlib is licensed under Apache License Version 2.0, making it freely available for all users regardless of organization size or use case.

Source
Codacy: Can I try Codacy before paying?

Codacy offers a 14-day free trial with full platform access and no credit card required.

Source
Apache Spark MLlib: How do I use MLlib?

MLlib is built into Apache Spark. Download Spark, which includes MLlib as a module, and deploy on your choice of infrastructure including Hadoop, Mesos, Kubernetes, standalone, or cloud.

Source
Codacy: What does it integrate with?

Codacy integrates with GitHub, Bitbucket, and GitLab for cloud-hosted scans, plus Jira and Slack for team notifications.

Source
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