--- title: "ollama-js vs BrowserAI" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ollama-ollama-js-vs-sauravpanda-browserai" tools: ["ollama-ollama-js", "sauravpanda-browserai"] --- # ollama-js vs BrowserAI *GraphCanon updated Sep 20, 2026* ## 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. [ollama-js](https://ollama.com) reports 4.4k GitHub stars, 477 forks, and 92 open issues, last pushed Feb 18, 2026. [BrowserAI](https://browserai.dev) has 1.5k stars, 136 forks, and 24 open issues, last pushed Jul 21, 2026. Figures are from public GitHub metadata via [ollama-js's repository](https://github.com/ollama/ollama-js) and [BrowserAI's repository](https://github.com/sauravpanda/BrowserAI). | | [ollama-js](/tools/ollama-ollama-js.md) | [BrowserAI](/tools/sauravpanda-browserai.md) | | --- | --- | --- | | Tagline | Integrate JavaScript projects with Ollama using this TypeScript library | Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser | | Stars | 4,370 | 1,451 | | Forks | 477 | 136 | | Open issues | 92 | 24 | | Language | TypeScript | TypeScript | | Adopt for | ollama-js simplifies interactions with Ollama models in JavaScript and TypeScript projects, offering support for browser usage and streaming responses. | BrowserAI runs various local LLMs directly in your browser using TypeScript. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Inference & Serving | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ollama-js](/tools/ollama-ollama-js.md) | [BrowserAI](/tools/sauravpanda-browserai.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 213d | 60d | | Open issues (now) | 92 | 24 | | Stars delta | +30 (30d) | +5 (30d) | | Open issues delta | +8 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/ollama-ollama-js/trust.md) | [trust report](/tools/sauravpanda-browserai/trust.md) | ## Decision facts: ollama-js - **Pricing:** freemium - 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. - **Adopt for:** ollama-js simplifies interactions with Ollama models in JavaScript and TypeScript projects, offering support for browser usage and streaming responses. ## Decision facts: BrowserAI - **Adopt for:** BrowserAI runs various local LLMs directly in your browser using TypeScript. ## Choose when ### 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. ### 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 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 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. ## 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 (4,370 vs 1,451). 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](/tools/ollama-ollama-js/alternatives) and [BrowserAI alternatives](/tools/sauravpanda-browserai/alternatives) ([ollama-js markdown twin](/tools/ollama-ollama-js/alternatives.md), [BrowserAI markdown twin](/tools/sauravpanda-browserai/alternatives.md)), 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](/compare/ollama-ollama-js-vs-sauravpanda-browserai.md) 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](/tools/ollama-ollama-js/trust); [BrowserAI trust report](/tools/sauravpanda-browserai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ollama-ollama-js`](/api/graphcanon/graph?tool=ollama-ollama-js) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_