Comparison
awesome-mlops vs hopsworks
Verdict
Pick awesome-mlops if awesome MLOps is a curated list of tools encompassing AutoML to CI/CD for ML; pick hopsworks if hopsworks, an ML platform with robust data management and model serving capabilities, supports multiple cloud environments like AWS, Azure, and GCP.
Markdown twin · awesome-mlops alternatives · hopsworks alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | awesome-mlops | hopsworks |
|---|---|---|
| Maintenance | Slowing (97d since push) As of 2w · github_public_v1 | Dormant (539d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 2w · github_public_v1 | Not a fork · Organization account As of 3w · 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
- awesome-mlops
- A curated list of awesome MLOps tools.
- hopsworks
- Data-Intensive AI platform with Feature Store
Stars
- awesome-mlops
- 5.2k
- hopsworks
- 1.3k
Forks
- awesome-mlops
- 762
- hopsworks
- 160
Open issues
- awesome-mlops
- 71
- hopsworks
- 16
Language
- awesome-mlops
- Python
- hopsworks
- Java
Adopt for
- awesome-mlops
- Awesome MLOps is a curated list of tools encompassing AutoML to CI/CD for ML.
- hopsworks
- Hopsworks, an ML platform with robust data management and model serving capabilities, supports multiple cloud environments like AWS, Azure, and GCP.
Persona
- awesome-mlops
- -
- hopsworks
- -
Runtime
- awesome-mlops
- -
- hopsworks
- -
License
- awesome-mlops
- -
- hopsworks
- AGPL-3.0
Last pushed
- awesome-mlops
- Apr 29, 2026
- hopsworks
- Feb 10, 2025
Categories
- awesome-mlops
- Developer Tools, Evaluation & Observability, Inference & Serving, Model Training
- hopsworks
- Evaluation & Observability, Inference & Serving, Model Training
Trust and health
Maintenance
- awesome-mlops
- Slowing (36%)
- hopsworks
- Dormant (18%)
Days since push
- awesome-mlops
- 97d
- hopsworks
- 539d
Open issues (now)
- awesome-mlops
- 71
- hopsworks
- 16
Owner type
- awesome-mlops
- User
- hopsworks
- Organization
Full report
- awesome-mlops
- Trust report
- hopsworks
- Trust report
Shared compatibility
- Python · awesome-mlops: Python runtime · hopsworks: Python runtime
Choose awesome-mlops if…
- awesome-mlops is primarily Python; hopsworks is Java.
- Tags unique to awesome-mlops: ai, awesome, data-science, machine-learning.
- Also covers Developer Tools.
- You need resources across multiple facets of the machine-learning pipeline, from data validation to model serving.
When NOT to use awesome-mlops
- In search of a single comprehensive tool for end-to-end ML project management; Awesome MLOps is a repository of links rather than a standalone platform.
- Looking for proprietary solutions or detailed vendor-specific documentation as it focuses on broad, open-source offerings.
Choose hopsworks if…
- hopsworks is primarily Java; awesome-mlops is Python.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (kelvins/awesome-mlops) · observed Aug 4, 2026
- GitHub forks (kelvins/awesome-mlops) · observed Aug 4, 2026
- Last push (kelvins/awesome-mlops) · observed Apr 29, 2026
- License file (unknown) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: awesome-mlops 5.2k · hopsworks 1.3k (synced Aug 4, 2026).
Common questions
- What is the difference between awesome-mlops and hopsworks?
- awesome-mlops: A curated list of awesome MLOps tools.. hopsworks: Data-Intensive AI platform with Feature Store. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-mlops over hopsworks?
- Choose awesome-mlops over hopsworks when awesome-mlops is primarily Python; hopsworks is Java; Tags unique to awesome-mlops: ai, awesome, data-science, machine-learning; Also covers Developer Tools; You need resources across multiple facets of the machine-learning pipeline, from data validation to model serving.
- When should I choose hopsworks over awesome-mlops?
- Choose hopsworks over awesome-mlops when hopsworks is primarily Java; awesome-mlops is Python; Tags unique to hopsworks: aws, azure, feature-store, gcp; When project requirements include a comprehensive feature store for AI applications.
- When should I avoid awesome-mlops?
- In search of a single comprehensive tool for end-to-end ML project management; Awesome MLOps is a repository of links rather than a standalone platform. Looking for proprietary solutions or detailed vendor-specific documentation as it focuses on broad, open-source offerings.
- 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
- Is awesome-mlops or hopsworks more popular on GitHub?
- awesome-mlops has more GitHub stars (5,229 vs 1,302). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-mlops and hopsworks open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-mlops or hopsworks?
- GraphCanon lists graph-backed alternatives at awesome-mlops alternatives and hopsworks alternatives (awesome-mlops markdown twin, hopsworks 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, awesome-mlops or hopsworks?
- awesome-mlops: Slowing. hopsworks: 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 awesome-mlops and hopsworks?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-mlops trust report; hopsworks trust report.