Home/Compare/hopsworks vs mlflow

Comparison

hopsworks vs mlflow

Verdict

Pick hopsworks if hopsworks, an ML platform with robust data management and model serving capabilities, supports multiple cloud environments like AWS, Azure, and GCP; pick mlflow if mLflow is an open-source platform that offers comprehensive capabilities for managing, deploying, and monitoring machine learning models as well as large language models (LLMs) and AI agents. MLflow supports various use,.

Markdown twin · hopsworks alternatives · mlflow alternatives

GraphCanon updated 4d

hopsworks logo

hopsworks

logicalclocks/hopsworks

1.3kpushed Feb 10, 2025
vs
mlflow logo

mlflow

mlflow/mlflow

28kpushed Aug 20, 2026

Trust & integrity

Signalhopsworksmlflow
Maintenance
Dormant (539d since push)
As of 3w · github_public_v1
Very active (0d since push)
As of 4d · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 4d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

hopsworks
Data-Intensive AI platform with Feature Store
mlflow
AI engineering platform for debugging, evaluating, monitoring, and optimizing AI applications

Stars

hopsworks
1.3k
mlflow
28k

Forks

hopsworks
160
mlflow
6.2k

Open issues

hopsworks
16
mlflow
2.1k

Language

hopsworks
Java
mlflow
Python

Adopt for

hopsworks
Hopsworks, an ML platform with robust data management and model serving capabilities, supports multiple cloud environments like AWS, Azure, and GCP.
mlflow
MLflow is an open-source platform that offers comprehensive capabilities for managing, deploying, and monitoring machine learning models as well as large language models (LLMs) and AI agents. MLflow supports various use,

Persona

hopsworks
-
mlflow
-

Runtime

hopsworks
-
mlflow
-

License

hopsworks
AGPL-3.0
mlflow
Apache-2.0

Last pushed

hopsworks
Feb 10, 2025
mlflow
Aug 20, 2026

Categories

hopsworks
Evaluation & Observability, Inference & Serving, Model Training
mlflow
Evaluation & Observability, Inference & Serving, Model Training

Trust and health

Maintenance

hopsworks
Dormant (18%)
mlflow
Very active (96%)

Days since push

hopsworks
539d
mlflow
0d

Open issues (now)

hopsworks
16
mlflow
2.1k

Stars delta

hopsworks
Unknown
mlflow
+476 (30d)

Open issues delta

hopsworks
Unknown
mlflow
-22 (30d)

Full report

hopsworks
Trust report

Choose hopsworks if…

  • hopsworks is primarily Java; mlflow is Python.
  • License: hopsworks is AGPL-3.0, mlflow is Apache-2.0.
  • Tags unique to hopsworks: aws, azure, feature-store, gcp.
  • When project requirements include a comprehensive feature store for AI applications

When NOT to use hopsworks

  • If developers prefer a tool requiring less computational resources to install
  • In scenarios where the preferred language is not Java and compatibility is an issue

Choose mlflow if…

  • mlflow is primarily Python; hopsworks is Java.
  • License: mlflow is Apache-2.0, hopsworks is AGPL-3.0.
  • Tags unique to mlflow: agentops, agents, ai-governance, evaluation.
  • - Use when you're working with a diverse range of environments like local or cloud platforms because MLflow is **vendor-neutral**.

When NOT to use mlflow

  • - Avoid if your organization has strong preferences for proprietary solutions with advanced features not available in the open-source domain.
  • - Not recommended for users who prefer a fully managed service without self-hosting options, as competitors like Databricks or Azure ML offer integrated services tailored for their cloud environments.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: hopsworks 1.3k · mlflow 28k (synced Aug 3, 2026).

Common questions

What is the difference between hopsworks and mlflow?
hopsworks: Data-Intensive AI platform with Feature Store. mlflow: AI engineering platform for debugging, evaluating, monitoring, and optimizing AI applications. See the comparison table for live GitHub stats and shared categories.
When should I choose hopsworks over mlflow?
Choose hopsworks over mlflow when hopsworks is primarily Java; mlflow is Python; License: hopsworks is AGPL-3.0, mlflow is Apache-2.0; Tags unique to hopsworks: aws, azure, feature-store, gcp; When project requirements include a comprehensive feature store for AI applications.
When should I choose mlflow over hopsworks?
Choose mlflow over hopsworks when mlflow is primarily Python; hopsworks is Java; License: mlflow is Apache-2.0, hopsworks is AGPL-3.0; Tags unique to mlflow: agentops, agents, ai-governance, evaluation; - Use when you're working with a diverse range of environments like local or cloud platforms because MLflow is **vendor-neutral**.
When should I avoid hopsworks?
If developers prefer a tool requiring less computational resources to install In scenarios where the preferred language is not Java and compatibility is an issue
When should I avoid mlflow?
- Avoid if your organization has strong preferences for proprietary solutions with advanced features not available in the open-source domain. - Not recommended for users who prefer a fully managed service without self-hosting options, as competitors like Databricks or Azure ML offer integrated services tailored for their cloud environments.
Is hopsworks or mlflow more popular on GitHub?
mlflow has more GitHub stars (27,591 vs 1,302). Stars measure visibility, not whether either tool fits your constraints.
Are hopsworks and mlflow open source?
Yes - both are open-source projects on GitHub (hopsworks: AGPL-3.0, mlflow: Apache-2.0).
Where can I find alternatives to hopsworks or mlflow?
GraphCanon lists graph-backed alternatives at hopsworks alternatives and mlflow alternatives (hopsworks markdown twin, mlflow markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, hopsworks or mlflow?
hopsworks: Dormant. mlflow: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for hopsworks and mlflow?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hopsworks trust report; mlflow trust report.

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