Comparison
ollama-js vs BrowserAI
Verdict
Pick ollama-js if ollama-js simplifies interactions with Ollama models in JavaScript and TypeScript projects, offering support for browser usage and streaming responses; pick BrowserAI if browserAI runs various local LLMs directly in your browser using TypeScript.
Markdown twin · ollama-js alternatives · BrowserAI alternatives
GraphCanon updated Aug 25, 2026
17views this month
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Trust & integrity
| Signal | ollama-js | BrowserAI |
|---|---|---|
| Maintenance | Slowing (176d since push) As of Aug 14, 2026 · github_public_v1 | Steady (34d since push) As of Aug 25, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Aug 14, 2026 · github_public_v1 | Not a fork · Personal account As of Aug 25, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings 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
- ollama-js
- Integrate JavaScript projects with Ollama using this TypeScript library
- BrowserAI
- Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser
Stars
- ollama-js
- 4.3k
- BrowserAI
- 1.4k
Forks
- ollama-js
- 464
- BrowserAI
- 138
Open issues
- ollama-js
- 84
- BrowserAI
- 24
Language
- ollama-js
- TypeScript
- BrowserAI
- TypeScript
Adopt for
- ollama-js
- ollama-js simplifies interactions with Ollama models in JavaScript and TypeScript projects, offering support for browser usage and streaming responses.
- BrowserAI
- BrowserAI runs various local LLMs directly in your browser using TypeScript.
Persona
- ollama-js
- -
- BrowserAI
- -
Runtime
- ollama-js
- -
- BrowserAI
- -
License
- ollama-js
- MIT
- BrowserAI
- MIT
Last pushed
- ollama-js
- Feb 18, 2026
- BrowserAI
- Jul 21, 2026
Categories
- ollama-js
- Inference & Serving
- BrowserAI
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- ollama-js
- Slowing (36%)
- BrowserAI
- Steady (60%)
Days since push
- ollama-js
- 176d
- BrowserAI
- 34d
Open issues (now)
- ollama-js
- 84
- BrowserAI
- 24
Stars delta
- ollama-js
- Unknown
- BrowserAI
- +3 (30d)
Open issues delta
- ollama-js
- Unknown
- BrowserAI
- 0 (30d)
Owner type
- ollama-js
- Organization
- BrowserAI
- User
OSV dependency advisories
- ollama-js
- Published findings
- BrowserAI
- No lockfile (source not queried)
Full report
- ollama-js
- Trust report
- BrowserAI
- Trust report
Choose ollama-js if…
- Pricing: The ollama-js library is free to download and integrate into your project under the MIT License, though using cloud models may require API key setup and adherence to Ollama's pricing for cloud usage..
- Requirements: - This library requires Node.js if not used in a browser context.; - For access to Ollama's cloud models, set up the necessary credentials as per their documentation..
- Tags unique to ollama-js: javascript.
- Use ollama-js when you need to integrate your JavaScript or TypeScript project with Ollama models for chat functionality.
When NOT to use ollama-js
- Avoid using ollama-js if your project requires complex image handling beyond base64 encoding or Uint8Array formats.
- Do not use this library if you are restricted to environments where node modules cannot be used and browser-specific imports are also not feasible.
Choose BrowserAI if…
- Tags unique to BrowserAI: agents, ai, llm-inference, local.
- Also covers LLM Frameworks.
- You need to run local models like llama, deepseek-distill, kokoro inside the browser environment.
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 (ollama/ollama-js) · observed Aug 14, 2026
- GitHub forks (ollama/ollama-js) · observed Aug 14, 2026
- Last push (ollama/ollama-js) · observed Feb 18, 2026
- License file (MIT) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (sauravpanda/BrowserAI) · observed Aug 25, 2026
- GitHub forks (sauravpanda/BrowserAI) · observed Aug 25, 2026
- Last push (sauravpanda/BrowserAI) · observed Jul 21, 2026
- License file (MIT) · observed Aug 25, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: ollama-js 4.3k · BrowserAI 1.4k (synced Aug 14, 2026).
Common questions
- What is the difference between ollama-js and BrowserAI?
- ollama-js: Integrate JavaScript projects with Ollama using this TypeScript library. 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 ollama-js over BrowserAI?
- Choose ollama-js over BrowserAI when Pricing: The ollama-js library is free to download and integrate into your project under the MIT License, though using cloud models may require API key setup and adherence to Ollama's pricing for cloud usage.; Requirements: - This library requires Node.js if not used in a browser context.; - For access to Ollama's cloud models, set up the necessary credentials as per their documentation.; Tags unique to ollama-js: javascript; Use ollama-js when you need to integrate your JavaScript or TypeScript project with Ollama models for chat functionality.
- When should I choose BrowserAI over ollama-js?
- Choose BrowserAI over ollama-js when Tags unique to BrowserAI: agents, ai, llm-inference, local; Also covers LLM Frameworks; You need to run local models like llama, deepseek-distill, kokoro inside the browser environment.
- When should I avoid ollama-js?
- Avoid using ollama-js if your project requires complex image handling beyond base64 encoding or Uint8Array formats. Do not use this library if you are restricted to environments where node modules cannot be used and browser-specific imports are also not feasible.
- 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 ollama-js or BrowserAI more popular on GitHub?
- ollama-js has more GitHub stars (4,340 vs 1,449). Stars measure visibility, not whether either tool fits your constraints.
- Are ollama-js and BrowserAI open source?
- Yes - both are open-source projects on GitHub (ollama-js: MIT, BrowserAI: MIT).
- Where can I find alternatives to ollama-js or BrowserAI?
- GraphCanon lists graph-backed alternatives at ollama-js alternatives and BrowserAI alternatives (ollama-js 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, ollama-js or BrowserAI?
- ollama-js: Slowing. 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 ollama-js and BrowserAI?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ollama-js trust report; BrowserAI trust report.