Home/Compare/HPOBench vs RoBO

Comparison

HPOBench vs RoBO

Verdict

Pick HPOBench if hPOBench is useful for researchers and developers working on hyperparameter optimization techniques in automated machine learning scenarios; pick RoBO if roBO is a Python framework for robust Bayesian optimization using Gaussian processes and random forests.

Markdown twin · HPOBench alternatives · RoBO alternatives

GraphCanon updated 2w

HPOBench logo

HPOBench

automl/HPOBench

170pushed May 21, 2025
vs
RoBO logo

RoBO

automl/RoBO

492pushed Apr 30, 2019

Trust & integrity

SignalHPOBenchRoBO
Maintenance
Dormant (439d since push)
As of 2w · github_public_v1
Dormant (2653d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 2w · github_public_v1
OSV dependency advisories
Published findings
As of 1mo · osv@v1
Published findings
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

HPOBench
A collection of hyperparameter optimization benchmark problems
RoBO
A Robust Bayesian Optimization framework

Stars

HPOBench
170
RoBO
492

Forks

HPOBench
36
RoBO
129

Open issues

HPOBench
34
RoBO
25

Language

HPOBench
Python
RoBO
Python

Adopt for

HPOBench
HPOBench is useful for researchers and developers working on hyperparameter optimization techniques in automated machine learning scenarios.
RoBO
RoBO is a Python framework for robust Bayesian optimization using Gaussian processes and random forests.

Persona

HPOBench
-
RoBO
-

Runtime

HPOBench
-
RoBO
-

License

HPOBench
HPOBench is open source under the Apache-2.0 license.
RoBO
BSD-3-Clause

Last pushed

HPOBench
May 21, 2025
RoBO
Apr 30, 2019

Categories

HPOBench
Model Training
RoBO
Model Training

Trust and health

Days since push

HPOBench
439d
RoBO
2653d

Open issues (now)

HPOBench
34
RoBO
25

Full report

HPOBench
Trust report

Shared compatibility

  • Python · HPOBench: Python runtime · RoBO: Python runtime

Choose HPOBench if…

  • License: HPOBench is Apache-2.0, RoBO is BSD-3-Clause.
  • Requirements: The installation recommends, but does not strictly require singularity version 3.6, which can be an additional setup step..
  • Tags unique to HPOBench: automl, benchmark, hyperparameter-optimization.
  • When you are specifically interested in benchmarking hyperparameter optimization problems that include containerized benchmarks to ensure consistency across environments.

When NOT to use HPOBench

  • 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.

Choose RoBO if…

  • License: RoBO is BSD-3-Clause, HPOBench is Apache-2.0.
  • Tags unique to RoBO: gaussian processes, random forests.
  • For tasks requiring robust handling of noisy data in Bayesian Optimization

When NOT to use RoBO

  • Avoid if your project strictly requires open-source licenses other than BSD-3-Clause
  • Not suitable for users not comfortable installing external dependencies manually

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: HPOBench 170 · RoBO 492 (synced Aug 4, 2026).

Common questions

What is the difference between HPOBench and RoBO?
HPOBench: A collection of hyperparameter optimization benchmark problems. RoBO: A Robust Bayesian Optimization framework. See the comparison table for live GitHub stats and shared categories.
When should I choose HPOBench over RoBO?
Choose HPOBench over RoBO when License: HPOBench is Apache-2.0, RoBO is BSD-3-Clause; Requirements: The installation recommends, but does not strictly require singularity version 3.6, which can be an additional setup step.; Tags unique to HPOBench: automl, benchmark, hyperparameter-optimization; When you are specifically interested in benchmarking hyperparameter optimization problems that include containerized benchmarks to ensure consistency across environments.
When should I choose RoBO over HPOBench?
Choose RoBO over HPOBench when License: RoBO is BSD-3-Clause, HPOBench is Apache-2.0; Tags unique to RoBO: gaussian processes, random forests; For tasks requiring robust handling of noisy data in Bayesian Optimization.
When should I avoid HPOBench?
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.
When should I avoid RoBO?
Avoid if your project strictly requires open-source licenses other than BSD-3-Clause Not suitable for users not comfortable installing external dependencies manually
Is HPOBench or RoBO more popular on GitHub?
RoBO has more GitHub stars (492 vs 170). Stars measure visibility, not whether either tool fits your constraints.
Are HPOBench and RoBO open source?
Yes - both are open-source projects on GitHub (HPOBench: Apache-2.0, RoBO: BSD-3-Clause).
Where can I find alternatives to HPOBench or RoBO?
GraphCanon lists graph-backed alternatives at HPOBench alternatives and RoBO alternatives (HPOBench markdown twin, RoBO 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, HPOBench or RoBO?
HPOBench: Dormant. RoBO: 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 HPOBench and RoBO?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: HPOBench trust report; RoBO trust report.

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