Comparison
ggrun vs BrowserAI
Verdict
Pick ggrun if ggrun, an auto-tuned launcher for GGUF models using llama.cpp, offers OpenAI-compatible server support with multi-GPU tensor-split and MoE expert placement capabilities; pick BrowserAI if browserAI runs various local LLMs directly in your browser using TypeScript.
Markdown twin · ggrun alternatives · BrowserAI alternatives
GraphCanon updated Sep 20, 2026
9views this month
vs
Trust & integrity
| Signal | ggrun | BrowserAI |
|---|---|---|
| Maintenance | Very active (0d 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
- ggrun
- Auto-tuned launcher for GGUF models on llama.cpp with OpenAI-compatible server
- BrowserAI
- Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser
Stars
- ggrun
- 275
- BrowserAI
- 1.5k
Forks
- ggrun
- 18
- BrowserAI
- 136
Open issues
- ggrun
- 4
- BrowserAI
- 24
Language
- ggrun
- Go
- BrowserAI
- TypeScript
Adopt for
- ggrun
- ggrun, an auto-tuned launcher for GGUF models using llama.cpp, offers OpenAI-compatible server support with multi-GPU tensor-split and MoE expert placement capabilities.
- BrowserAI
- BrowserAI runs various local LLMs directly in your browser using TypeScript.
Persona
- ggrun
- -
- BrowserAI
- -
Runtime
- ggrun
- -
- BrowserAI
- -
License
- ggrun
- MIT License allows using ggrun freely in both open source and commercial projects, with conditions that the copyright notice and permission notice are preserved.
- BrowserAI
- MIT
Last pushed
- ggrun
- Sep 19, 2026
- BrowserAI
- Jul 21, 2026
Categories
- ggrun
- Inference & Serving
- BrowserAI
- Inference & Serving, LLM Frameworks
Trust and health
Maintenance
- ggrun
- Very active (96%)
- BrowserAI
- Steady (60%)
Days since push
- ggrun
- 0d
- BrowserAI
- 60d
Open issues (now)
- ggrun
- 4
- BrowserAI
- 24
Stars delta
- ggrun
- +11 (30d)
- BrowserAI
- +5 (30d)
Open issues delta
- ggrun
- +3 (30d)
- BrowserAI
- 0 (30d)
Full report
- ggrun
- Trust report
- BrowserAI
- Trust report
Choose ggrun if…
- ggrun is primarily Go; BrowserAI is TypeScript.
- Pricing: Free to use under MIT license; no direct costs involved in usage..
- Tags unique to ggrun: cuda, gguf, golang, inference-server.
- When developing systems that require automatic hardware optimization and tuning for GGUF models on multiple GPUs
When NOT to use ggrun
- For environments where single-GPU setups are preferred, as ggrun specializes in multi-GPU configurations and may offer limited advantage or additional complexity
- When you do not require auto-tuning capabilities for hardware performance optimization since this feature is specific to ggrun
Choose BrowserAI if…
- BrowserAI is primarily TypeScript; ggrun is Go.
- 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 (raketenkater/ggrun) · observed Sep 20, 2026
- GitHub forks (raketenkater/ggrun) · observed Sep 20, 2026
- Last push (raketenkater/ggrun) · observed Sep 19, 2026
- 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: ggrun 275 · BrowserAI 1.5k (synced Sep 20, 2026).
Common questions
- What is the difference between ggrun and BrowserAI?
- ggrun: Auto-tuned launcher for GGUF models on llama.cpp with OpenAI-compatible server. 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 ggrun over BrowserAI?
- Choose ggrun over BrowserAI when ggrun is primarily Go; BrowserAI is TypeScript; Pricing: Free to use under MIT license; no direct costs involved in usage.; Tags unique to ggrun: cuda, gguf, golang, inference-server; When developing systems that require automatic hardware optimization and tuning for GGUF models on multiple GPUs.
- When should I choose BrowserAI over ggrun?
- Choose BrowserAI over ggrun when BrowserAI is primarily TypeScript; ggrun is Go; 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 ggrun?
- For environments where single-GPU setups are preferred, as ggrun specializes in multi-GPU configurations and may offer limited advantage or additional complexity When you do not require auto-tuning capabilities for hardware performance optimization since this feature is specific to ggrun
- 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 ggrun or BrowserAI more popular on GitHub?
- BrowserAI has more GitHub stars (1,451 vs 275). Stars measure visibility, not whether either tool fits your constraints.
- Are ggrun and BrowserAI open source?
- Yes - both are open-source projects on GitHub (ggrun: MIT, BrowserAI: MIT).
- Where can I find alternatives to ggrun or BrowserAI?
- GraphCanon lists graph-backed alternatives at ggrun alternatives and BrowserAI alternatives (ggrun 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, ggrun or BrowserAI?
- ggrun: Very active. 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 ggrun and BrowserAI?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ggrun trust report; BrowserAI trust report.