Open Source · Observability
Hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
Our verdict
We have not reviewed Hyperopt 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 Hyperopt
Hyperopt is a Python library for distributed asynchronous hyperparameter optimization. It uses algorithms like Tree of Parzen Estimators (TPE) and random search to find optimal model parameters. Users define a search space and objective function, and Hyperopt runs trials in parallel across multiple workers.
Best for
Python developers needing a lightweight, distributed hyperparameter tuning library for machine learning workflows
Use cases
- Tuning hyperparameters for machine learning models like neural networks or gradient boosting
- Optimizing configuration parameters for data processing pipelines
- Running distributed hyperparameter sweeps across a cluster or cloud resources
Notes
7,576 stars on GitHub. Last updated 2026-05-25.
Pros
- Supports distributed execution for scaling optimization across many workers
- Provides a simple, flexible API for defining search spaces and objectives
- Includes multiple search algorithms (TPE, random search) with proven effectiveness
Cons
- Limited to Python ecosystem and may require integration effort with non-Python tools
- Documentation and examples can be sparse or outdated for advanced use cases
- No built-in visualization or monitoring of optimization progress
Key facts
What we have checked
- Latest version
- 0.3.0 (released 24 July 2026)
- GitHub stars
- 7,597
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 Hyperopt is growing
7,576 to 7,597
Sources
Where this comes from
- GitHubOfficial
- github api via nightly crawl, recovered from git history 20e874270887c1008f860ee0198e461a23c9e438Registry
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
Released 0.3.0
Released 0.3.0-pre
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