Apache PredictionIO

Also known as
apache-predictionio

What is Apache PredictionIO?

A machine learning framework that manages event collection, deploys algorithms, evaluates model performance, and provides model predictions through REST APIs using scalable open source infrastructure.

Independently observed

Apache PredictionIO pricing

We don't have Apache PredictionIO's full plan breakdown yet (its pricing page resisted automated reading). Here's what we could confirm. Always check live pricing for exact numbers.

What Apache PredictionIO does

The capabilities that matter for recommendation engines, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.

Capabilities
Realtime serving
-
Realtime ingestion
-
Cold start handling
-
Explainability
-
Built in ab testing
-
Open source
✓
SOC2
-
Multi tenant isolation
-
Independently observed

Platform & deployment

Independently observed
Platforms
  • CLI
Deployment
  • Self-hosted

Integrations (7)

Independently observed
  • Elasticsearch
  • Hadoop
  • HBase
  • Spark
  • Spark MLLib
  • OpenNLP
  • Docker

Security & compliance

Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality

Apache PredictionIO FAQ

Common questions about Apache PredictionIO, answered from independent, dated evidence.

What is Apache PredictionIO?

A distributed platform that handles data collection, model deployment, evaluation, and prediction serving through REST APIs, built on open-source infrastructure like Spark, Hadoop, and Elasticsearch. It is indexed under Recommendation Engines.

Source: https://predictionio.apache.org/

Is Apache PredictionIO free to use?

Apache PredictionIO is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.

Source: https://predictionio.apache.org/

What platforms does Apache PredictionIO support?

We have confirmed browser-based access to Apache PredictionIO. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.

Source: https://predictionio.apache.org/

Can Apache PredictionIO be self-hosted?

Yes. Apache PredictionIO can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.

Source: https://predictionio.apache.org/

What does Apache PredictionIO integrate with?

We have confirmed 6 integrations for Apache PredictionIO, including Elasticsearch, Hadoop, HBase, Spark, OpenNLP and Docker. This is what we could verify from public sources, so the vendor may support others we have not indexed.

Source: https://predictionio.apache.org/

Is Apache PredictionIO open source?

Yes. Apache PredictionIO is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.

Source: https://github.com/apache/predictionio

Apache PredictionIO alternatives

Other recommendation engines we track, ranked by the same independent score.

All Apache PredictionIO alternatives, ranked →

Compare Apache PredictionIO

Side by side against other recommendation engines, attribute by attribute, with a source on every value.

Independent · unbought · dated

The vioscaleAI score: one lens on the evidence

Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Apache PredictionIO, not the verdict.

Balanced composite 35 / 100
low · 30%
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Stars770.053.6✓
Capabilities290.082.3✓
Security score310.051.7✓
Integrations260.051.4✓
Dependent projects50.050.3✓
Development activity00.140.0✓
Release cadence00.080.0-
Security posture00.120.0-
Package downloads00.040.0-
Developer Q&A activity00.140.0-

Computed . Re-weight it by intent, or see the full method.

All data & sourcesshow ↓

Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.

Activity

AttributeValueEvidence
Commits last 30d0mediumsource · 2026-10-14 · 65%

Adoption

AttributeValueEvidence
Dependent repos1highsource · 2026-10-14 · 85%
Github stars12,515highsource · 2026-10-14 · 90%

Content

AttributeValueEvidence
Faq6 itemsmediumsource · 2026-09-10 · 66%

Features

AttributeValueEvidence
CapabilitiesOpen sourcemediumsource · 2026-10-14 · 60%

Integrations

AttributeValueEvidence
Count7mediumsource · 2026-08-19 · 60%

Language

AttributeValueEvidence
PrimaryScalahighsource · 2026-10-14 · 90%

License

AttributeValueEvidence
SpdxApache-2.0highsource · 2026-10-14 · 95%

Pricing

AttributeValueEvidence
Free tierYesmediumsource · 2026-08-19 · 60%
Modelopen_sourcemediumsource · 2026-10-14 · 60%
Price levelfreemediumsource · 2026-10-14 · 60%

Release

AttributeValueEvidence
History1 itemsmediumsource · 2026-10-14 · 70%

Security

AttributeValueEvidence
Scorecard3.1highsource · 2026-10-14 · 90%
VulnerabilitiesCount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=maven&package_name=org.apache.predictionio%3Aapache-predictionio-common_2.10&per_page=100 · Last 12m: 0highsource · 2026-10-14 · 90%
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