{"data":{"slug":"kennss-siliconscope","name":"SiliconScope","tagline":"Sudoless Apple Silicon system monitor with ANE/Media Engine/memory-bandwidth tracking","github_url":"https://github.com/kennss/SiliconScope","owner":"kennss","repo":"SiliconScope","owner_avatar_url":"https://avatars.githubusercontent.com/u/77983942?v=4","primary_language":"Swift","stars":955,"forks":62,"topics":["apple-silicon","gpu","llama-cpp","llm","lm-studio","local-llm","macos","menubar","mlx","neural-engine","ollama","on-device-ai","performance-monitoring","swiftui","system-monitor"],"archived":false,"github_pushed_at":"2026-09-14T13:36:52+00:00","maintenance_label":"Very active","stars_delta_30d":127,"url":"https://www.graphcanon.com/tools/kennss-siliconscope","markdown_url":"https://www.graphcanon.com/tools/kennss-siliconscope.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/kennss-siliconscope","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=kennss-siliconscope","description":"Sudoless Apple Silicon system monitor (native SwiftUI GUI) with ANE / Media Engine / memory-bandwidth tracking","homepage_url":"https://siliconscope.calidalab.ai/","license":"MIT","open_issues":9,"watchers":7,"ai_summary":"Provides monitoring of Apple Silicon systems including tracking of ANE, Media Engine performance, and memory bandwidth.","readme_excerpt":"## Install\n\n**Homebrew** — the easiest way:\n\n```sh\nbrew install --cask siliconscope\n```\n\nOr grab the DMG: **[⬇ Download the latest DMG](https://github.com/kennss/SiliconScope/releases/latest)**, then:\n\n1. Open the downloaded `SiliconScope-*.dmg`\n2. Drag **SiliconScope** into **Applications**\n3. Launch it\n\nSigned with a Developer ID and **notarized by Apple** — it opens with no Gatekeeper\nprompt. Requires **macOS 14+ on Apple Silicon**. It **updates itself** from here on\n(Sparkle) — this is the last DMG you download by hand.\n\n> **Pre-release macOS is not supported.** This project has one Mac and it runs the release\n> version, so a developer beta cannot be reproduced or verified here. Reports from one are\n> still welcome and have already been useful — SiliconScope reads private IOReport interfaces\n> that Apple renames between builds, and a rename found early is a rename fixed before it\n> reaches everyone — but fixes land when the OS ships, not against a beta seed.\n\nPrefer to build it yourself? See [Build & run](#build--run).\n\n---\n\n## License\n\nMIT © 2026 Kennt Kim — see [LICENSE](LICENSE).","github_created_at":"2026-06-08T17:19:50+00:00","created_at":"2026-07-15T10:58:57.521555+00:00","updated_at":"2026-09-20T05:01:21.369338+00:00","categories":[{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"apple-silicon","name":"apple-silicon"},{"slug":"gpu","name":"gpu"},{"slug":"llama-cpp","name":"llama-cpp"},{"slug":"llm","name":"llm"},{"slug":"lm-studio","name":"lm-studio"},{"slug":"local-llm","name":"local-llm"},{"slug":"macos","name":"macos"},{"slug":"menubar","name":"menubar"}],"trust":{"provenance":{"is_fork":false,"github_id":1263158313,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-20T05:01:19.567Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":28,"days_since_push":5,"last_release_at":"2026-09-14T05:00:19Z","stars_delta_30d":127,"open_issues_delta_30d":8},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-15T10:58:58.785Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-20T05:01:20.598Z"},"languages":{"value":["swift"],"source":"github.language","observed_at":"2026-09-20T05:01:20.598Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-09-20T05:01:20.598Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"freemium","summary":"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_ram_gb":4,"requires_docker":false},"constraints":{"min_ram_gb":4,"pricing_model":"freemium","requires_docker":false},"when_to_use":["When you are working on Swift-based projects targeting Apple Silicon devices and need precise monitoring of the Neural Engine and Media Engine performance","In scenarios where you require a user-friendly SwiftUI interface for analyzing system resource utilization without administrative privileges"],"when_not_to_use":["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"],"source":"enrich:decision_facts","observed_at":"2026-07-17T12:15:55.730Z"},"constraint_facets":{"min_ram_gb":4,"pricing_model":"freemium","requires_docker":false},"decision_summary":[{"label":"Pricing","value":"freemium - While the core monitoring functionality comes at no cost due to its open-source nature, additional features or support may require a premium purchase."},{"label":"Requirements","value":"Min 4 GB RAM"},{"label":"Adopt for","value":"SiliconScope is a sudoless system monitor for Apple Silicon, featuring detailed GUI tracking of ANE/Media Engine usage and memory bandwidth in SwiftUI applications."},{"label":"License detail","value":"SiliconScope is distributed under the MIT License, allowing for free use, modification, and distribution with full acknowledgment of origin."}]}}