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Decision brief
HPOBench is useful for researchers and developers working on hyperparameter optimization techniques in automated machine learning scenarios.
Good fit when
- When you are specifically interested in benchmarking hyperparameter optimization problems that include containerized benchmarks to ensure consistency across environments.
- If your work requires a comprehensive library of challenges that mirror real-world issues in tuning parameters for machine learning models.
Avoid when
- Avoid HPOBench if your project does not require Python or you are looking for a platform that exclusively focuses on the automation of model selection without hyperparameter optimization.
- If you prefer tools with built-in support for multiple programming languages, rather than focusing solely on Python as is the case with HPOBench.
- Pricing:
- freemium
- Requirements:
- The installation recommends, but does not strictly require singularity version 3.6, which can be an additional setup step.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Dormant (439d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- 8 low (8 low)
- As of 1mo
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Install
pip install HPOBenchSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
HPOBench provides benchmarking problems for hyperparameter optimization using Python and is centered around facilitating research in automated machine learning.
Capability facts
- Languages
- python
Source: github.language · Aug 4, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Tags
README
Installation
We recommend using a virtual environment. To install HPOBench, please run the following:
git clone https://github.com/automl/HPOBench.git
cd HPOBench
pip install .
Note: This does not install singularity (version 3.6). Please follow the steps described here: user-guide.
If you run into problems, using the most recent singularity version might help: here
For agents
This page has a .md twin and JSON over the API.