Comparison
mobilegym vs awesome-llm-apps
Verdict
Pick mobilegym if mobileGym specializes in browser-hosted Android simulation for reinforcing learning training of mobile GUI agents. It is licensed under Apache-2.0 and written in Python; pick awesome-llm-apps if awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Markdown twin · mobilegym alternatives · awesome-llm-apps alternatives
GraphCanon updated Sep 20, 2026
12views this month
vs
Trust & integrity
| Signal | mobilegym | awesome-llm-apps |
|---|---|---|
| Maintenance | Active (22d since push) As of Sep 20, 2026 · github_public_v1 | Very active (4d since push) As of Sep 7, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 7, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- mobilegym
- Browser-hosted Android Simulator for Mobile GUI Agent Research
- awesome-llm-apps
- Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.
Stars
- mobilegym
- 795
- awesome-llm-apps
- 136k
Forks
- mobilegym
- 136
- awesome-llm-apps
- 20k
Open issues
- mobilegym
- 9
- awesome-llm-apps
- 10
Language
- mobilegym
- Python
- awesome-llm-apps
- Python
Adopt for
- mobilegym
- MobileGym specializes in browser-hosted Android simulation for reinforcing learning training of mobile GUI agents. It is licensed under Apache-2.0 and written in Python.
- awesome-llm-apps
- awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python.
Persona
- mobilegym
- -
- awesome-llm-apps
- -
Runtime
- mobilegym
- -
- awesome-llm-apps
- -
License
- mobilegym
- Apache-2.0
- awesome-llm-apps
- The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license.
Last pushed
- mobilegym
- Aug 28, 2026
- awesome-llm-apps
- Sep 2, 2026
Categories
- mobilegym
- AI Agents, Model Training
- awesome-llm-apps
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- mobilegym
- Active (82%)
- awesome-llm-apps
- Very active (96%)
Days since push
- mobilegym
- 22d
- awesome-llm-apps
- 4d
Open issues (now)
- mobilegym
- 9
- awesome-llm-apps
- 10
Stars delta
- mobilegym
- +40 (30d)
- awesome-llm-apps
- +5.2k (30d)
Open issues delta
- mobilegym
- +2 (30d)
- awesome-llm-apps
- -3 (30d)
Full report
- mobilegym
- Trust report
- awesome-llm-apps
- Trust report
Choose mobilegym if…
- Tags unique to mobilegym: agent, ai, android, automation.
- Also covers Model Training.
- You require a browser-based solution to simulate Android environments for testing and training mobile graphical user interface (GUI) agents.
When NOT to use mobilegym
- Your project does not involve mobile GUI agent research or development; MobileGym's specialty is in this specific application and may not be useful for general-purpose simulation。
- You are looking for a solution that runs exclusively on local servers rather than browser-hosted environments.
Choose awesome-llm-apps if…
- Pricing: Free with open-source licensing, but commercial exploitation is allowed..
- Tags unique to awesome-llm-apps: agents, applications, customizable, deployable.
- Also covers Data & Retrieval.
- When you need quick implementations of various real-world use cases for AI Agents and RAG.
When NOT to use awesome-llm-apps
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch.
- When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Purewhiter/mobilegym) · observed Sep 20, 2026
- GitHub forks (Purewhiter/mobilegym) · observed Sep 20, 2026
- Last push (Purewhiter/mobilegym) · observed Aug 28, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Shubhamsaboo/awesome-llm-apps) · observed Sep 20, 2026
- GitHub forks (Shubhamsaboo/awesome-llm-apps) · observed Sep 20, 2026
- Last push (Shubhamsaboo/awesome-llm-apps) · observed Sep 2, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mobilegym 795 · awesome-llm-apps 136k (synced Sep 20, 2026).
Common questions
- What is the difference between mobilegym and awesome-llm-apps?
- mobilegym: Browser-hosted Android Simulator for Mobile GUI Agent Research. awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. See the comparison table for live GitHub stats and shared categories.
- When should I choose mobilegym over awesome-llm-apps?
- Choose mobilegym over awesome-llm-apps when Tags unique to mobilegym: agent, ai, android, automation; Also covers Model Training; You require a browser-based solution to simulate Android environments for testing and training mobile graphical user interface (GUI) agents.
- When should I choose awesome-llm-apps over mobilegym?
- Choose awesome-llm-apps over mobilegym when Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; Also covers Data & Retrieval; When you need quick implementations of various real-world use cases for AI Agents and RAG.
- When should I avoid mobilegym?
- Your project does not involve mobile GUI agent research or development; MobileGym's specialty is in this specific application and may not be useful for general-purpose simulation。 You are looking for a solution that runs exclusively on local servers rather than browser-hosted environments.
- When should I avoid awesome-llm-apps?
- If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction.
- Is mobilegym or awesome-llm-apps more popular on GitHub?
- awesome-llm-apps has more GitHub stars (136,444 vs 795). Stars measure visibility, not whether either tool fits your constraints.
- Are mobilegym and awesome-llm-apps open source?
- Yes - both are open-source projects on GitHub (mobilegym: Apache-2.0, awesome-llm-apps: Apache-2.0).
- Where can I find alternatives to mobilegym or awesome-llm-apps?
- GraphCanon lists graph-backed alternatives at mobilegym alternatives and awesome-llm-apps alternatives (mobilegym markdown twin, awesome-llm-apps 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, mobilegym or awesome-llm-apps?
- mobilegym: Active. awesome-llm-apps: Very active. 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 mobilegym and awesome-llm-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mobilegym trust report; awesome-llm-apps trust report.