Our verdict
We have not reviewed AutoGL 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 AutoGL
AutoGL is an open-source AutoML framework for graph machine learning. It automates tasks like model selection, hyperparameter tuning, and graph feature engineering. Users define a graph dataset and a task, and AutoGL searches for the best pipeline.
Best for
Researchers and developers who want to automate graph neural network experimentation
Use cases
- Automate graph neural network model selection and tuning
- Benchmark different graph learning pipelines on custom datasets
- Rapidly prototype graph-based ML solutions without manual tuning
Notes
1,134 stars on GitHub. Last updated 2025-11-20. Licensed Apache-2.0.
Pros
- Reduces manual effort in graph ML pipeline design
- Open-source with active community support
- Supports a variety of graph tasks and datasets
Cons
- Limited to graph-structured data, not general AutoML
- May require understanding of graph ML concepts to interpret results
- Performance depends on search space and computational resources
Key facts
What we have checked
- Latest version
- 0.4.0 (released 30 Dec 2022)
- GitHub stars
- 1,142
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 AutoGL is growing
1,134 to 1,142
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 0.4.0
Released 0.3.1
Released 0.1.1
Released 0.1.0
Pairs with
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