{"data":{"slug":"spiceai-spiceai","name":"spiceai","tagline":"A real-time analytics node for data-grounded AI applications","github_url":"https://github.com/spiceai/spiceai","owner":"spiceai","repo":"spiceai","owner_avatar_url":"https://avatars.githubusercontent.com/u/73862742?v=4","primary_language":"Rust","stars":3069,"forks":222,"topics":["artificial-intelligence","data","data-federation","developers","full-text-search","infrastructure","llm-inference","machine-learning","sql"],"archived":false,"github_pushed_at":"2026-08-24T17:16:22+00:00","maintenance_label":"Very active","stars_delta_30d":22,"url":"https://www.graphcanon.com/tools/spiceai-spiceai","markdown_url":"https://www.graphcanon.com/tools/spiceai-spiceai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/spiceai-spiceai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=spiceai-spiceai","description":"Add a real-time analytics node to your operational database. Spice is a portable, accelerated SQL query, search, and LLM-inference engine in Rust for data-grounded AI apps and agents.","homepage_url":"https://docs.spiceai.org","license":"Apache-2.0","open_issues":662,"watchers":24,"ai_summary":"SpiceAI provides an accelerated SQL query, search, and LLM-inference engine in Rust for integrating with operational databases to enhance data-grounded AI applications and agents.","readme_excerpt":"### Installation\n\nInstall the Spice CLI:\n\nOn **macOS, Linux, and WSL**:\n\n```bash\ncurl https://install.spiceai.org | /bin/bash\n```\n\nOr using `brew`:\n\n```bash\nbrew install spiceai/spiceai/spice\n```\n\nOn **Windows** using PowerShell:\n\n```powershell\niex ((New-Object System.Net.WebClient).DownloadString(\"https://install.spiceai.org/Install.ps1\"))\n```\n\n> **Note:** Native Windows runtime builds are not provided in v2.0+. Use [WSL](https://learn.microsoft.com/en-us/windows/wsl/) for local development.\n\n---\n\n### Docker\n\n```bash\ndocker pull spiceai/spiceai\n```\n\n```dockerfile\nFROM spiceai/spiceai:latest\n```","github_created_at":"2021-08-08T23:26:13+00:00","created_at":"2026-07-11T11:43:01.156573+00:00","updated_at":"2026-08-24T18:01:30.950044+00:00","categories":[{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"accelerated-sql","name":"accelerated sql"},{"slug":"llm-inference","name":"llm-inference"},{"slug":"operational-database-integration","name":"operational database integration"},{"slug":"real-time-analytics","name":"real-time analytics"},{"slug":"rust-programming-language","name":"rust programming language"}],"trust":{"provenance":{"is_fork":false,"github_id":394089041,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-24T18:01:30.031Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":9,"days_since_push":0,"last_release_at":"2026-08-12T19:15:33Z","stars_delta_30d":22,"open_issues_delta_30d":238},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:43:02.299Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-24T18:01:30.555Z"},"deploy":{"source":"dockerfile:Dockerfile","self_host":true,"observed_at":"2026-08-24T18:01:30.555Z","managed_saas":false},"languages":{"value":["rust"],"source":"github.language","observed_at":"2026-08-24T18:01:30.555Z"},"has_docker":{"value":true,"source":"dockerfile:Dockerfile","observed_at":"2026-08-24T18:01:30.555Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-08-24T18:01:30.555Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you need real-time data-grounded AI applications that require fast SQL query execution, search capabilities, or LLM-inference","For scenarios where performance and efficiency are critical due to its implementation in Rust"],"when_not_to_use":["If your project already has a robust solution for real-time analytics that does not benefit from being rewritten in Rust","Where the ecosystem preference is not Rust, as SpiceAI's accelerated query engine and integration features are tied closely with Rust"],"source":"enrich:decision_facts","observed_at":"2026-07-17T04:17:11.784Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"SpiceAI is designed for real-time analytics and operates in Rust to integrate seamlessly with operational databases."}]}}