Comparison
whichllm vs Atomic-Chat
Verdict
Pick whichllm if whichllm is designed to help users identify and benchmark local large language models that perform well on their specific hardware configuration via real-time benchmarks; pick Atomic-Chat if atomic-Chat is a local AI app and inference engine for agents that runs open-weight LLMs privately offline.
Markdown twin · whichllm alternatives · Atomic-Chat alternatives
GraphCanon updated Sep 20, 2026
7views this month
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Trust & integrity
| Signal | whichllm | Atomic-Chat |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d 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 · Organization 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
- whichllm
- Command-line tool to find and benchmark local LLM performance
- Atomic-Chat
- Local AI app and inference engine for agents
Stars
- whichllm
- 6.7k
- Atomic-Chat
- 1.5k
Forks
- whichllm
- 368
- Atomic-Chat
- 178
Open issues
- whichllm
- 13
- Atomic-Chat
- 55
Language
- whichllm
- Python
- Atomic-Chat
- TypeScript
Adopt for
- whichllm
- whichllm is designed to help users identify and benchmark local large language models that perform well on their specific hardware configuration via real-time benchmarks.
- Atomic-Chat
- Atomic-Chat is a local AI app and inference engine for agents that runs open-weight LLMs privately offline.
Persona
- whichllm
- -
- Atomic-Chat
- -
Runtime
- whichllm
- -
- Atomic-Chat
- -
License
- whichllm
- MIT
- Atomic-Chat
- Other
Last pushed
- whichllm
- Sep 19, 2026
- Atomic-Chat
- Sep 19, 2026
Categories
- whichllm
- Evaluation & Observability, Inference & Serving
- Atomic-Chat
- Developer Tools, Inference & Serving
Trust and health
Open issues (now)
- whichllm
- 13
- Atomic-Chat
- 55
Stars delta
- whichllm
- +441 (30d)
- Atomic-Chat
- +368 (30d)
Open issues delta
- whichllm
- -9 (30d)
- Atomic-Chat
- +11 (30d)
Owner type
- whichllm
- User
- Atomic-Chat
- Organization
Full report
- whichllm
- Trust report
- Atomic-Chat
- Trust report
Choose whichllm if…
- whichllm is primarily Python; Atomic-Chat is TypeScript.
- License: whichllm is MIT, Atomic-Chat is Other.
- Tags unique to whichllm: ai, apple-silicon, benchmarks, cli.
- Also covers Evaluation & Observability.
- When you need to quickly discover which locally available LLM runs most efficiently on your Apple Silicon or GPU infrastructure using Python scripts
When NOT to use whichllm
- In scenarios where extensive customization of benchmarking criteria beyond what this tool offers is required
- When you are working in a non-Python environment and prefer not to introduce Python scripts into your workflow
Choose Atomic-Chat if…
- Atomic-Chat is primarily TypeScript; whichllm is Python.
- License: Atomic-Chat is Other, whichllm is MIT.
- Requirements: Atomic-Chat requires TypeScript for development.; Ensure you have the necessary hardware and setup to run open-weight LLM models locally..
- Tags unique to Atomic-Chat: ai-agent, local-first, open-source.
- Also covers Developer Tools.
- When you need to run large language models (LLMs) locally with full privacy and no internet connectivity required.
When NOT to use Atomic-Chat
- Avoid Atomic-Chat when you need cloud-based AI services that offer automatic updates and maintenance, as it focuses on local offline deployment.
- Do not choose this tool if your project does not require deep-seek capabilities or self-hosted solutions but prefers more mainstream LLMs like Qwen.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Andyyyy64/whichllm) · observed Sep 20, 2026
- GitHub forks (Andyyyy64/whichllm) · observed Sep 20, 2026
- Last push (Andyyyy64/whichllm) · 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 (AtomicBot-ai/Atomic-Chat) · observed Sep 19, 2026
- GitHub forks (AtomicBot-ai/Atomic-Chat) · observed Sep 19, 2026
- Last push (AtomicBot-ai/Atomic-Chat) · observed Sep 19, 2026
- License file (Other) · observed Sep 19, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: whichllm 6.7k · Atomic-Chat 1.5k (synced Sep 20, 2026).
Common questions
- What is the difference between whichllm and Atomic-Chat?
- whichllm: Command-line tool to find and benchmark local LLM performance. Atomic-Chat: Local AI app and inference engine for agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose whichllm over Atomic-Chat?
- Choose whichllm over Atomic-Chat when whichllm is primarily Python; Atomic-Chat is TypeScript; License: whichllm is MIT, Atomic-Chat is Other; Tags unique to whichllm: ai, apple-silicon, benchmarks, cli; Also covers Evaluation & Observability; When you need to quickly discover which locally available LLM runs most efficiently on your Apple Silicon or GPU infrastructure using Python scripts.
- When should I choose Atomic-Chat over whichllm?
- Choose Atomic-Chat over whichllm when Atomic-Chat is primarily TypeScript; whichllm is Python; License: Atomic-Chat is Other, whichllm is MIT; Requirements: Atomic-Chat requires TypeScript for development.; Ensure you have the necessary hardware and setup to run open-weight LLM models locally.; Tags unique to Atomic-Chat: ai-agent, local-first, open-source; Also covers Developer Tools; When you need to run large language models (LLMs) locally with full privacy and no internet connectivity required.
- When should I avoid whichllm?
- In scenarios where extensive customization of benchmarking criteria beyond what this tool offers is required When you are working in a non-Python environment and prefer not to introduce Python scripts into your workflow
- When should I avoid Atomic-Chat?
- Avoid Atomic-Chat when you need cloud-based AI services that offer automatic updates and maintenance, as it focuses on local offline deployment. Do not choose this tool if your project does not require deep-seek capabilities or self-hosted solutions but prefers more mainstream LLMs like Qwen.
- Is whichllm or Atomic-Chat more popular on GitHub?
- whichllm has more GitHub stars (6,666 vs 1,526). Stars measure visibility, not whether either tool fits your constraints.
- Are whichllm and Atomic-Chat open source?
- Yes - both are open-source projects on GitHub (whichllm: MIT, Atomic-Chat: Other).
- Where can I find alternatives to whichllm or Atomic-Chat?
- GraphCanon lists graph-backed alternatives at whichllm alternatives and Atomic-Chat alternatives (whichllm markdown twin, Atomic-Chat 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, whichllm or Atomic-Chat?
- whichllm: Very active. Atomic-Chat: Very 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 whichllm and Atomic-Chat?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: whichllm trust report; Atomic-Chat trust report.