Comparison
react-native-transformers vs BrowserAI
Verdict
Pick react-native-transformers if react Native transformers facilitates seamless integration of Huggingface models in React-Native apps using ONNX Runtime with TypeScript support; pick BrowserAI if browserAI runs various local LLMs directly in your browser using TypeScript.
Markdown twin · react-native-transformers alternatives · BrowserAI alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | react-native-transformers | BrowserAI |
|---|---|---|
| Maintenance | Dormant (434d since push) As of Sep 20, 2026 · github_public_v1 | Steady (60d since push) As of Sep 19, 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 19, 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
- react-native-transformers
- Run local LLM from Huggingface in React-Native using onnxruntime with TypeScript
- BrowserAI
- Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser
Stars
- react-native-transformers
- 135
- BrowserAI
- 1.5k
Forks
- react-native-transformers
- 16
- BrowserAI
- 136
Open issues
- react-native-transformers
- 7
- BrowserAI
- 24
Language
- react-native-transformers
- TypeScript
- BrowserAI
- TypeScript
Adopt for
- react-native-transformers
- React Native transformers facilitates seamless integration of Huggingface models in React-Native apps using ONNX Runtime with TypeScript support.
- BrowserAI
- BrowserAI runs various local LLMs directly in your browser using TypeScript.
Persona
- react-native-transformers
- -
- BrowserAI
- -
Runtime
- react-native-transformers
- -
- BrowserAI
- -
License
- react-native-transformers
- MIT
- BrowserAI
- MIT
Last pushed
- react-native-transformers
- Jul 13, 2025
- BrowserAI
- Jul 21, 2026
Categories
- react-native-transformers
- Inference & Serving, LLM Frameworks
- BrowserAI
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- react-native-transformers
- Dormant (18%)
- BrowserAI
- Steady (60%)
Days since push
- react-native-transformers
- 434d
- BrowserAI
- 60d
Open issues (now)
- react-native-transformers
- 7
- BrowserAI
- 24
Stars delta
- react-native-transformers
- +2 (30d)
- BrowserAI
- +5 (30d)
Full report
- react-native-transformers
- Trust report
- BrowserAI
- Trust report
Shared compatibility
- Node.js · react-native-transformers: Node.js runtime · BrowserAI: Node.js runtime
Choose react-native-transformers if…
- Tags unique to react-native-transformers: expo, huggingface, local-llm, onnx.
- If you are developing a React Native application and require local execution of Huggingface LLMs using ONNX Runtime for optimized performance.
- Leaner open-issue backlog (7).
When NOT to use react-native-transformers
- For projects not involving React Native or Expo development, as this library provides no direct value outside of these frameworks.
- If your application does not require local execution of LLMs from Huggingface and can manage with cloud-based inference services.
Choose BrowserAI if…
- Tags unique to BrowserAI: agents, ai, llm-inference, local.
- You need to run local models like llama, deepseek-distill, kokoro inside the browser environment.
- More GitHub stars (1.5k vs 135) - visibility, not fit.
When NOT to use BrowserAI
- You require a server-based solution instead of in-browser execution for LLMs.
- The project involves extensive training tasks that are unsuitable for browser environments.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (daviddaytw/react-native-transformers) · observed Sep 20, 2026
- GitHub forks (daviddaytw/react-native-transformers) · observed Sep 20, 2026
- Last push (daviddaytw/react-native-transformers) · observed Jul 13, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (sauravpanda/BrowserAI) · observed Sep 19, 2026
- GitHub forks (sauravpanda/BrowserAI) · observed Sep 19, 2026
- Last push (sauravpanda/BrowserAI) · observed Jul 21, 2026
- License file (MIT) · observed Sep 19, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: react-native-transformers 135 · BrowserAI 1.5k (synced Sep 20, 2026).
Common questions
- What is the difference between react-native-transformers and BrowserAI?
- react-native-transformers: Run local LLM from Huggingface in React-Native using onnxruntime with TypeScript. BrowserAI: Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser. See the comparison table for live GitHub stats and shared categories.
- When should I choose react-native-transformers over BrowserAI?
- Choose react-native-transformers over BrowserAI when Tags unique to react-native-transformers: expo, huggingface, local-llm, onnx; If you are developing a React Native application and require local execution of Huggingface LLMs using ONNX Runtime for optimized performance; Leaner open-issue backlog (7).
- When should I choose BrowserAI over react-native-transformers?
- Choose BrowserAI over react-native-transformers when Tags unique to BrowserAI: agents, ai, llm-inference, local; You need to run local models like llama, deepseek-distill, kokoro inside the browser environment; More GitHub stars (1.5k vs 135) - visibility, not fit.
- When should I avoid react-native-transformers?
- For projects not involving React Native or Expo development, as this library provides no direct value outside of these frameworks. If your application does not require local execution of LLMs from Huggingface and can manage with cloud-based inference services.
- When should I avoid BrowserAI?
- You require a server-based solution instead of in-browser execution for LLMs. The project involves extensive training tasks that are unsuitable for browser environments.
- Is react-native-transformers or BrowserAI more popular on GitHub?
- BrowserAI has more GitHub stars (1,451 vs 135). Stars measure visibility, not whether either tool fits your constraints.
- Are react-native-transformers and BrowserAI open source?
- Yes - both are open-source projects on GitHub (react-native-transformers: MIT, BrowserAI: MIT).
- Where can I find alternatives to react-native-transformers or BrowserAI?
- GraphCanon lists graph-backed alternatives at react-native-transformers alternatives and BrowserAI alternatives (react-native-transformers markdown twin, BrowserAI 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, react-native-transformers or BrowserAI?
- react-native-transformers: Dormant. BrowserAI: Steady. 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 react-native-transformers and BrowserAI?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: react-native-transformers trust report; BrowserAI trust report.