Comparison
BrowserAI vs anubis-oss
Verdict
Pick BrowserAI if browserAI runs various local LLMs directly in your browser using TypeScript; pick anubis-oss if anubis-oss, specifically tailored for Apple Silicon devices using Swift, is distinguished by its focus on local large language model evaluation and testing within the macOS environment.
Markdown twin · BrowserAI alternatives · anubis-oss alternatives
GraphCanon updated Sep 20, 2026
8views this month
vs
Trust & integrity
| Signal | BrowserAI | anubis-oss |
|---|---|---|
| Maintenance | Steady (60d since push) As of Sep 19, 2026 · github_public_v1 | Active (15d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 19, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 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
- BrowserAI
- Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser
- anubis-oss
- Local LLM Testing & Benchmarking for Apple Silicon
Stars
- BrowserAI
- 1.5k
- anubis-oss
- 207
Forks
- BrowserAI
- 136
- anubis-oss
- 15
Open issues
- BrowserAI
- 24
- anubis-oss
- 1
Language
- BrowserAI
- TypeScript
- anubis-oss
- Swift
Adopt for
- BrowserAI
- BrowserAI runs various local LLMs directly in your browser using TypeScript.
- anubis-oss
- Anubis-oss, specifically tailored for Apple Silicon devices using Swift, is distinguished by its focus on local large language model evaluation and testing within the macOS environment.
Persona
- BrowserAI
- -
- anubis-oss
- -
Runtime
- BrowserAI
- -
- anubis-oss
- -
License
- BrowserAI
- MIT
- anubis-oss
- GPL-3.0 license ensures that any derivative works related to anubis-oss must also be open source under the same licensing terms.
Last pushed
- BrowserAI
- Jul 21, 2026
- anubis-oss
- Sep 5, 2026
Categories
- BrowserAI
- Inference & Serving, LLM Frameworks
- anubis-oss
- Evaluation & Observability, Inference & Serving
Trust and health
Maintenance
- BrowserAI
- Steady (60%)
- anubis-oss
- Active (82%)
Days since push
- BrowserAI
- 60d
- anubis-oss
- 15d
Open issues (now)
- BrowserAI
- 24
- anubis-oss
- 1
Stars delta
- BrowserAI
- +5 (30d)
- anubis-oss
- +9 (30d)
Open issues delta
- BrowserAI
- 0 (30d)
- anubis-oss
- -3 (30d)
Full report
- BrowserAI
- Trust report
- anubis-oss
- Trust report
Choose BrowserAI if…
- BrowserAI is primarily TypeScript; anubis-oss is Swift.
- License: BrowserAI is MIT, anubis-oss is GPL-3.0.
- 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.
Choose anubis-oss if…
- anubis-oss is primarily Swift; BrowserAI is TypeScript.
- License: anubis-oss is GPL-3.0, BrowserAI is MIT.
- Pricing: The tool is free and open-source with no monetary costs for usage or distribution..
- Requirements: Min 8 GB RAM.
- Tags unique to anubis-oss: apple-silicon, benchmarking, gpu, inference.
- Also covers Evaluation & Observability.
- When developing and evaluating large language models intended to run natively on Apple Silicon hardware.
When NOT to use anubis-oss
- If your development does not involve Apple Silicon or macOS environments as Anubis-oss is tightly integrated with these platforms.
- When preferring a language other than Swift, since Anubis-oss depends on this for its operations.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (uncSoft/anubis-oss) · observed Sep 20, 2026
- GitHub forks (uncSoft/anubis-oss) · observed Sep 20, 2026
- Last push (uncSoft/anubis-oss) · observed Sep 5, 2026
- License file (GPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: BrowserAI 1.5k · anubis-oss 207 (synced Sep 19, 2026).
Common questions
- What is the difference between BrowserAI and anubis-oss?
- BrowserAI: Run local LLMs like llama, deepseek-distill, kokoro and more inside your browser. anubis-oss: Local LLM Testing & Benchmarking for Apple Silicon. See the comparison table for live GitHub stats and shared categories.
- When should I choose BrowserAI over anubis-oss?
- Choose BrowserAI over anubis-oss when BrowserAI is primarily TypeScript; anubis-oss is Swift; License: BrowserAI is MIT, anubis-oss is GPL-3.0; 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 choose anubis-oss over BrowserAI?
- Choose anubis-oss over BrowserAI when anubis-oss is primarily Swift; BrowserAI is TypeScript; License: anubis-oss is GPL-3.0, BrowserAI is MIT; Pricing: The tool is free and open-source with no monetary costs for usage or distribution.; Requirements: Min 8 GB RAM; Tags unique to anubis-oss: apple-silicon, benchmarking, gpu, inference; Also covers Evaluation & Observability; When developing and evaluating large language models intended to run natively on Apple Silicon hardware.
- 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.
- When should I avoid anubis-oss?
- If your development does not involve Apple Silicon or macOS environments as Anubis-oss is tightly integrated with these platforms. When preferring a language other than Swift, since Anubis-oss depends on this for its operations.
- Is BrowserAI or anubis-oss more popular on GitHub?
- BrowserAI has more GitHub stars (1,451 vs 207). Stars measure visibility, not whether either tool fits your constraints.
- Are BrowserAI and anubis-oss open source?
- Yes - both are open-source projects on GitHub (BrowserAI: MIT, anubis-oss: GPL-3.0).
- Where can I find alternatives to BrowserAI or anubis-oss?
- GraphCanon lists graph-backed alternatives at BrowserAI alternatives and anubis-oss alternatives (BrowserAI markdown twin, anubis-oss 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, BrowserAI or anubis-oss?
- BrowserAI: Steady. anubis-oss: 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 BrowserAI and anubis-oss?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: BrowserAI trust report; anubis-oss trust report.