Open Source
MOE
A global, black box optimization engine for real world metric optimization.
Our verdict
We have not reviewed MOE yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About MOE
MOE is a C++ black box optimization engine for tuning real world metrics. It uses Bayesian optimization to find optimal configurations with minimal evaluations.
Best for
Developers needing a fast, embeddable optimizer for metric-driven tuning tasks
Use cases
- Optimizing hyperparameters for machine learning models
- Tuning latency or throughput in distributed systems
- Maximizing conversion rates in A/B testing experiments
Notes
1,320 stars on GitHub. Last updated 2023-03-24.
Pros
- Proven Bayesian optimization approach for efficient search
- Lightweight C++ implementation with no external dependencies
- Active community with over 1300 stars on GitHub
Cons
- Limited to black box optimization, not a general observability platform
- No built-in visualization or dashboarding
- Requires manual integration with existing monitoring pipelines
Key facts
What we have checked
- Latest version
- 0.2.2 (released 5 Dec 2014)
- Days since the last commit
- 1,317
- GitHub forks
- 138
- GitHub stars
- 1,321
- Days to a first reply on issues
- 2835.7
- Open issues
- 170
- Releases in the last 90 days
- 0
Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.
Stars and usage
How MOE is growing
1,320 to 1,321
Health and security
Is MOE looked after, and what do its setup files show
Health score
0 out of 100
| Part | Points | What we saw |
|---|---|---|
| Archived | 0 | Repository is archived |
Sources
Where this comes from
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
Shut down
Released 0.2.2
Released 0.2.1
Released 0.2.0
Released 0.1.0
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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