Comparison
hopsworks vs awesome-mlops
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 awesome-mlops if awesome-mlops curates MLOps resources focusing on diverse deployment strategies and tooling.
Markdown twin · hopsworks alternatives · awesome-mlops alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | hopsworks | awesome-mlops |
|---|---|---|
| Maintenance | Dormant (539d since push) As of 3w · github_public_v1 | Dormant (621d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 2w · 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
- awesome-mlops
- A curated list of references for MLOps
Stars
- hopsworks
- 1.3k
- awesome-mlops
- 14k
Forks
- hopsworks
- 160
- awesome-mlops
- 2.1k
Open issues
- hopsworks
- 16
- awesome-mlops
- 44
Language
- hopsworks
- Java
- awesome-mlops
- -
Adopt for
- hopsworks
- Hopsworks, an ML platform with robust data management and model serving capabilities, supports multiple cloud environments like AWS, Azure, and GCP.
- awesome-mlops
- awesome-mlops curates MLOps resources focusing on diverse deployment strategies and tooling.
Persona
- hopsworks
- -
- awesome-mlops
- -
Runtime
- hopsworks
- -
- awesome-mlops
- -
License
- hopsworks
- AGPL-3.0
- awesome-mlops
- -
Last pushed
- hopsworks
- Feb 10, 2025
- awesome-mlops
- Nov 21, 2024
Categories
- hopsworks
- Evaluation & Observability, Inference & Serving, Model Training
- awesome-mlops
- Inference & Serving, Model Training
Trust and health
Days since push
- hopsworks
- 539d
- awesome-mlops
- 621d
Open issues (now)
- hopsworks
- 16
- awesome-mlops
- 44
Owner type
- hopsworks
- Organization
- awesome-mlops
- User
Full report
- hopsworks
- Trust report
- awesome-mlops
- Trust report
Shared compatibility
- Python · hopsworks: Python runtime · awesome-mlops: Python runtime
Choose hopsworks if…
- Tags unique to hopsworks: aws, azure, feature-store, gcp.
- Also covers Evaluation & Observability.
- 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 awesome-mlops if…
- Tags unique to awesome-mlops: ai, data-science, devops, engineering.
- If you need references covering online training and inference service architecture patterns, consider awesome-mlops.
- More GitHub stars (14k vs 1.3k) - visibility, not fit.
When NOT to use awesome-mlops
- Avoid if focused solely on a single MLOps tool or framework as this is a broad resource list.
- Not suitable for those seeking end-to-end support beyond references, like hands-on deployment assistance.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (logicalclocks/hopsworks) · observed Aug 3, 2026
- GitHub forks (logicalclocks/hopsworks) · observed Aug 3, 2026
- Last push (logicalclocks/hopsworks) · observed Feb 10, 2025
- License file (AGPL-3.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (visenger/awesome-mlops) · observed Aug 4, 2026
- GitHub forks (visenger/awesome-mlops) · observed Aug 4, 2026
- Last push (visenger/awesome-mlops) · observed Nov 21, 2024
- License file (unknown) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: hopsworks 1.3k · awesome-mlops 14k (synced Aug 3, 2026).
Common questions
- What is the difference between hopsworks and awesome-mlops?
- hopsworks: Data-Intensive AI platform with Feature Store. awesome-mlops: A curated list of references for MLOps. See the comparison table for live GitHub stats and shared categories.
- When should I choose hopsworks over awesome-mlops?
- Choose hopsworks over awesome-mlops when Tags unique to hopsworks: aws, azure, feature-store, gcp; Also covers Evaluation & Observability; When project requirements include a comprehensive feature store for AI applications.
- When should I choose awesome-mlops over hopsworks?
- Choose awesome-mlops over hopsworks when Tags unique to awesome-mlops: ai, data-science, devops, engineering; If you need references covering online training and inference service architecture patterns, consider awesome-mlops; More GitHub stars (14k vs 1.3k) - visibility, not fit.
- 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 awesome-mlops?
- Avoid if focused solely on a single MLOps tool or framework as this is a broad resource list. Not suitable for those seeking end-to-end support beyond references, like hands-on deployment assistance.
- Is hopsworks or awesome-mlops more popular on GitHub?
- awesome-mlops has more GitHub stars (14,127 vs 1,302). Stars measure visibility, not whether either tool fits your constraints.
- Are hopsworks and awesome-mlops open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to hopsworks or awesome-mlops?
- GraphCanon lists graph-backed alternatives at hopsworks alternatives and awesome-mlops alternatives (hopsworks markdown twin, awesome-mlops 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 awesome-mlops?
- hopsworks: Dormant. awesome-mlops: Dormant. 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 awesome-mlops?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: hopsworks trust report; awesome-mlops trust report.