Comparison
omlx vs SiliconScope
Verdict
Pick omlx if omlx is an LLM inference server tailored for Apple Silicon that emphasizes continuous batching and SSD caching capabilities, accessible through macOS menu bar control or Homebrew installation; pick SiliconScope if siliconScope is a sudoless system monitor for Apple Silicon, featuring detailed GUI tracking of ANE/Media Engine usage and memory bandwidth in SwiftUI applications.
Markdown twin · omlx alternatives · SiliconScope alternatives
GraphCanon updated Aug 14, 2026
12views this month
Trust & integrity
| Signal | omlx | SiliconScope |
|---|---|---|
| Maintenance | Very active (0d since push) As of Aug 14, 2026 · github_public_v1 | Very active (1d since push) As of Aug 12, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Aug 14, 2026 · github_public_v1 | Not a fork · Personal account As of Aug 12, 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 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
- omlx
- LLM inference server with continuous batching and SSD caching for Apple Silicon
- SiliconScope
- Sudoless Apple Silicon system monitor with ANE/Media Engine/memory-bandwidth tracking
Stars
- omlx
- 19k
- SiliconScope
- 828
Forks
- omlx
- 1.6k
- SiliconScope
- 52
Open issues
- omlx
- 855
- SiliconScope
- 1
Language
- omlx
- Python
- SiliconScope
- Swift
Adopt for
- omlx
- omlx is an LLM inference server tailored for Apple Silicon that emphasizes continuous batching and SSD caching capabilities, accessible through macOS menu bar control or Homebrew installation.
- SiliconScope
- SiliconScope is a sudoless system monitor for Apple Silicon, featuring detailed GUI tracking of ANE/Media Engine usage and memory bandwidth in SwiftUI applications.
Persona
- omlx
- -
- SiliconScope
- -
Runtime
- omlx
- -
- SiliconScope
- -
License
- omlx
- omlx is available under the Apache License, Version 2.0 (Apache-2.0), a permissive free software license.
- SiliconScope
- SiliconScope is distributed under the MIT License, allowing for free use, modification, and distribution with full acknowledgment of origin.
Last pushed
- omlx
- Aug 14, 2026
- SiliconScope
- Aug 11, 2026
Categories
- omlx
- Inference & Serving
- SiliconScope
- Evaluation & Observability, Model Training
Trust and health
Days since push
- omlx
- 0d
- SiliconScope
- 1d
Open issues (now)
- omlx
- 855
- SiliconScope
- 1
Stars delta
- omlx
- +839 (30d)
- SiliconScope
- Unknown
Open issues delta
- omlx
- +141 (30d)
- SiliconScope
- Unknown
Full report
- omlx
- Trust report
- SiliconScope
- Trust report
Choose omlx if…
- omlx is primarily Python; SiliconScope is Swift.
- License: omlx is Apache-2.0, SiliconScope is MIT.
- Tags unique to omlx: inference-server.
- Also covers Inference & Serving.
- If your primary computing environment is based on Apple Silicon devices, omlx offers optimized performance for running large language model inferences.
When NOT to use omlx
- If your development infrastructure relies on non-Apple Silicon hardware, omlx's specific optimizations will not be as beneficial.
- Teams that require cross-platform compatibility or run servers predominantly on non-macOS operating systems should consider alternatives with broader support.
- For environments where direct control through the menu bar is not practical or desired.
Choose SiliconScope if…
- SiliconScope is primarily Swift; omlx is Python.
- License: SiliconScope is MIT, omlx is Apache-2.0.
- Pricing: While the core monitoring functionality comes at no cost due to its open-source nature, additional features or support may require a premium purchase..
- Requirements: Min 4 GB RAM.
- Tags unique to SiliconScope: gpu, llama-cpp, lm-studio, local-llm.
- Also covers Evaluation & Observability, Model Training.
- When you are working on Swift-based projects targeting Apple Silicon devices and need precise monitoring of the Neural Engine and Media Engine performance
When NOT to use SiliconScope
- If your development environment is not centered around macOS or other Apple Silicon-based systems, as this tool lacks cross-platform compatibility
- For general-purpose benchmarking that does not involve Apple-specific subsystems like ANE and the Media Engine, as its focus limits broader hardware analysis
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (jundot/omlx) · observed Aug 14, 2026
- GitHub forks (jundot/omlx) · observed Aug 14, 2026
- Last push (jundot/omlx) · observed Aug 14, 2026
- License file (Apache-2.0) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (kennss/SiliconScope) · observed Aug 12, 2026
- GitHub forks (kennss/SiliconScope) · observed Aug 12, 2026
- Last push (kennss/SiliconScope) · observed Aug 11, 2026
- License file (MIT) · observed Aug 12, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: omlx 19k · SiliconScope 828 (synced Aug 14, 2026).
Common questions
- What is the difference between omlx and SiliconScope?
- omlx: LLM inference server with continuous batching and SSD caching for Apple Silicon. SiliconScope: Sudoless Apple Silicon system monitor with ANE/Media Engine/memory-bandwidth tracking. See the comparison table for live GitHub stats and shared categories.
- When should I choose omlx over SiliconScope?
- Choose omlx over SiliconScope when omlx is primarily Python; SiliconScope is Swift; License: omlx is Apache-2.0, SiliconScope is MIT; Tags unique to omlx: inference-server; Also covers Inference & Serving; If your primary computing environment is based on Apple Silicon devices, omlx offers optimized performance for running large language model inferences.
- When should I choose SiliconScope over omlx?
- Choose SiliconScope over omlx when SiliconScope is primarily Swift; omlx is Python; License: SiliconScope is MIT, omlx is Apache-2.0; Pricing: While the core monitoring functionality comes at no cost due to its open-source nature, additional features or support may require a premium purchase.; Requirements: Min 4 GB RAM; Tags unique to SiliconScope: gpu, llama-cpp, lm-studio, local-llm; Also covers Evaluation & Observability, Model Training; When you are working on Swift-based projects targeting Apple Silicon devices and need precise monitoring of the Neural Engine and Media Engine performance.
- When should I avoid omlx?
- If your development infrastructure relies on non-Apple Silicon hardware, omlx's specific optimizations will not be as beneficial. Teams that require cross-platform compatibility or run servers predominantly on non-macOS operating systems should consider alternatives with broader support. For environments where direct control through the menu bar is not practical or desired.
- When should I avoid SiliconScope?
- If your development environment is not centered around macOS or other Apple Silicon-based systems, as this tool lacks cross-platform compatibility For general-purpose benchmarking that does not involve Apple-specific subsystems like ANE and the Media Engine, as its focus limits broader hardware analysis
- Is omlx or SiliconScope more popular on GitHub?
- omlx has more GitHub stars (18,679 vs 828). Stars measure visibility, not whether either tool fits your constraints.
- Are omlx and SiliconScope open source?
- Yes - both are open-source projects on GitHub (omlx: Apache-2.0, SiliconScope: MIT).
- Where can I find alternatives to omlx or SiliconScope?
- GraphCanon lists graph-backed alternatives at omlx alternatives and SiliconScope alternatives (omlx markdown twin, SiliconScope 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, omlx or SiliconScope?
- omlx: Very active. SiliconScope: 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 omlx and SiliconScope?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: omlx trust report; SiliconScope trust report.