Comparison
local-llms-on-android vs recurrentgemma
Verdict
Pick local-llms-on-android if local-llms-on-android enables offline deployment and execution of large language models on Android devices using LiteRT and ONNX Runtime for applications requiring real-time conversation; pick recurrentgemma if recurrentGemma is an open-source language model from Google DeepMind, utilizing the Griffin architecture and supporting JAX and PyTorch for efficient neural network training and inference on TPUs, CPUs, and GPUs.
Markdown twin · local-llms-on-android alternatives · recurrentgemma alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | local-llms-on-android | recurrentgemma |
|---|---|---|
| Maintenance | Very active (1d since push) As of 1w · github_public_v1 | Slowing (181d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- local-llms-on-android
- Run local LLMs for offline chat and question answering on Android.
- recurrentgemma
- Open weights language model from Google DeepMind, based on Griffin
Stars
- local-llms-on-android
- 381
- recurrentgemma
- 684
Forks
- local-llms-on-android
- 45
- recurrentgemma
- 40
Open issues
- local-llms-on-android
- 12
- recurrentgemma
- 4
Language
- local-llms-on-android
- Kotlin
- recurrentgemma
- Python
Adopt for
- local-llms-on-android
- local-llms-on-android enables offline deployment and execution of large language models on Android devices using LiteRT and ONNX Runtime for applications requiring real-time conversation.
- recurrentgemma
- RecurrentGemma is an open-source language model from Google DeepMind, utilizing the Griffin architecture and supporting JAX and PyTorch for efficient neural network training and inference on TPUs, CPUs, and GPUs.
Persona
- local-llms-on-android
- -
- recurrentgemma
- -
Runtime
- local-llms-on-android
- -
- recurrentgemma
- -
License
- local-llms-on-android
- MIT
- recurrentgemma
- The codebase is distributed under the permissive Apache License, version 2.0, allowing for broad usage but with no warranties expressed or implied.
Last pushed
- local-llms-on-android
- Aug 11, 2026
- recurrentgemma
- Feb 6, 2026
Categories
- local-llms-on-android
- Inference & Serving, Model Training
- recurrentgemma
- Inference & Serving, Model Training
Trust and health
Maintenance
- local-llms-on-android
- Very active (96%)
- recurrentgemma
- Slowing (36%)
Days since push
- local-llms-on-android
- 1d
- recurrentgemma
- 181d
Open issues (now)
- local-llms-on-android
- 12
- recurrentgemma
- 4
Owner type
- local-llms-on-android
- User
- recurrentgemma
- Organization
Full report
- local-llms-on-android
- Trust report
- recurrentgemma
- Trust report
Choose local-llms-on-android if…
- local-llms-on-android is primarily Kotlin; recurrentgemma is Python.
- License: local-llms-on-android is MIT, recurrentgemma is Apache-2.0.
- Requirements: Supports deployment on Android devices using Kotlin programming language with LiteRT engine and ONNX Runtime for inference..
- Tags unique to local-llms-on-android: android, chatbot, gemma4, huggingface-tokenizers.
- To enable offline chat and question answering capabilities, particularly when Gemma, Qwen, or LLaMA are the preferred model architectures.
When NOT to use local-llms-on-android
- If real-time connection with internet-based services is necessary for chatbot operation and interaction.
- In scenarios where the model's computational requirements exceed the capabilities of the target Android device, possibly leading to performance issues or excessive battery drain.
Choose recurrentgemma if…
- recurrentgemma is primarily Python; local-llms-on-android is Kotlin.
- License: recurrentgemma is Apache-2.0, local-llms-on-android is MIT.
- Requirements: Optimized for TPU using the Flax implementation.; Supports CPU and GPU environments via JAX and PyTorch..
- Tags unique to recurrentgemma: deep-learning, flax, jax, language-model.
- If you require high efficiency in neural network training or inferencing specifically optimized for TPUs using the Flax implementation
When NOT to use recurrentgemma
- Do not use if your infrastructure does not support TensorFlow, since RecurrentGemma optimizes efficiency mostly on TPUs which are tightly coupled with TensorFlow's ecosystem
- Avoid using this tool if you are working in a restricted environment where setting up virtual environments with tools like Poetry or manually managing dependencies with pip is challenging
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dineshsoudagar/local-llms-on-android) · observed Aug 13, 2026
- GitHub forks (dineshsoudagar/local-llms-on-android) · observed Aug 13, 2026
- Last push (dineshsoudagar/local-llms-on-android) · observed Aug 11, 2026
- License file (MIT) · observed Aug 13, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (google-deepmind/recurrentgemma) · observed Aug 7, 2026
- GitHub forks (google-deepmind/recurrentgemma) · observed Aug 7, 2026
- Last push (google-deepmind/recurrentgemma) · observed Feb 6, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: local-llms-on-android 381 · recurrentgemma 684 (synced Aug 13, 2026).
Common questions
- What is the difference between local-llms-on-android and recurrentgemma?
- local-llms-on-android: Run local LLMs for offline chat and question answering on Android.. recurrentgemma: Open weights language model from Google DeepMind, based on Griffin. See the comparison table for live GitHub stats and shared categories.
- When should I choose local-llms-on-android over recurrentgemma?
- Choose local-llms-on-android over recurrentgemma when local-llms-on-android is primarily Kotlin; recurrentgemma is Python; License: local-llms-on-android is MIT, recurrentgemma is Apache-2.0; Requirements: Supports deployment on Android devices using Kotlin programming language with LiteRT engine and ONNX Runtime for inference.; Tags unique to local-llms-on-android: android, chatbot, gemma4, huggingface-tokenizers; To enable offline chat and question answering capabilities, particularly when Gemma, Qwen, or LLaMA are the preferred model architectures.
- When should I choose recurrentgemma over local-llms-on-android?
- Choose recurrentgemma over local-llms-on-android when recurrentgemma is primarily Python; local-llms-on-android is Kotlin; License: recurrentgemma is Apache-2.0, local-llms-on-android is MIT; Requirements: Optimized for TPU using the Flax implementation.; Supports CPU and GPU environments via JAX and PyTorch.; Tags unique to recurrentgemma: deep-learning, flax, jax, language-model; If you require high efficiency in neural network training or inferencing specifically optimized for TPUs using the Flax implementation.
- When should I avoid local-llms-on-android?
- If real-time connection with internet-based services is necessary for chatbot operation and interaction. In scenarios where the model's computational requirements exceed the capabilities of the target Android device, possibly leading to performance issues or excessive battery drain.
- When should I avoid recurrentgemma?
- Do not use if your infrastructure does not support TensorFlow, since RecurrentGemma optimizes efficiency mostly on TPUs which are tightly coupled with TensorFlow's ecosystem Avoid using this tool if you are working in a restricted environment where setting up virtual environments with tools like Poetry or manually managing dependencies with pip is challenging
- Is local-llms-on-android or recurrentgemma more popular on GitHub?
- recurrentgemma has more GitHub stars (684 vs 381). Stars measure visibility, not whether either tool fits your constraints.
- Are local-llms-on-android and recurrentgemma open source?
- Yes - both are open-source projects on GitHub (local-llms-on-android: MIT, recurrentgemma: Apache-2.0).
- Where can I find alternatives to local-llms-on-android or recurrentgemma?
- GraphCanon lists graph-backed alternatives at local-llms-on-android alternatives and recurrentgemma alternatives (local-llms-on-android markdown twin, recurrentgemma 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, local-llms-on-android or recurrentgemma?
- local-llms-on-android: Very active. recurrentgemma: Slowing. 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 local-llms-on-android and recurrentgemma?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: local-llms-on-android trust report; recurrentgemma trust report.