In the Crest catalog
pytorch/executorch
On-device AI across mobile, embedded and edge for PyTorch
- Stars
- 5.1K
- Forks
- 1.2K
- Language
- Python
- Last push
- 22d ago
- Last release
- 31d ago
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
Package · Maven Central
org.pytorch:executorch-android-qnn
Maven Central · v1.5.1 · BSD 3-Clause
ExecuTorch Android API
- AI & Machine Learning (primary)
- Mobile
- Embedded, IoT & Hardware
- ML Frameworks & Training · Tentative
- Graphics & 3D · Tentative
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
Install
<dependency>
<groupId>org.pytorch</groupId>
<artifactId>executorch-android-qnn</artifactId>
<version>1.5.1</version>
</dependency>Adoption
- Adoption
- Not published by Maven Central
- Not published
- Popularity
- Not published by Maven Central
- Not published
- Dependents
- Not published by Maven Central
- Not published
- Maintenance
- 0.95
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 16
- 17 versions over its life
Growth by period
Maven Central publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
- 7 days
- Not published by Maven Central
- Not published
- 30 days
- Not published by Maven Central
- Not published
- 90 days
- Not published by Maven Central
- Not published
- 1 year
- Not published by Maven Central
- Not published
Adoption history
Adoption history
Maven Central publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
Facts from the registry
- Latest version
- v1.5.1
- 17 versions
- First published
- AUG 27, 2025
- Last release
- OCT 1, 2026
- 23d ago
- Licence
- BSD 3-Clause
Repository
Dependencies latest version · v1.5.1
Runtime 5
- androidx.core:core-ktx
1.13.1 - com.facebook.fbjni:fbjni
0.7.0 - com.facebook.soloader:nativeloader
0.10.5 - com.qualcomm.qti:qnn-runtime
2.37.0 - org.jetbrains.kotlin:kotlin-stdlib
1.9.23
Related packages
- executorchOn-device AI across mobile, embedded and edge for PyTorchPublished from the same repository
- org.pytorch:executorch-androidExecuTorch Android APIPublished from the same repository
- org.pytorch:executorch-android-vulkanExecuTorch Android APIPublished from the same repository
- pytorch-tokenizersA package with common tokenizers in Python and C++Published from the same repository
- matrx-aiUnified multi-provider AI client, orchestration, and tool systemSame primary category
- autogluon-multimodalFast and Accurate ML in 3 Lines of CodeSame primary category
- autogluon-tabularFast and Accurate ML in 3 Lines of CodeSame primary category
- autogluon-featuresFast and Accurate ML in 3 Lines of CodeSame primary category
- autogluon-coreFast and Accurate ML in 3 Lines of CodeSame primary category
- autogluon-commonFast and Accurate ML in 3 Lines of CodeSame primary category
Related news
No published news event mentions this package or its repository yet.