{"data":{"slug":"quelmap-inc-quelmap","name":"quelmap","tagline":"Open Source Local Data Analysis Assistant","github_url":"https://github.com/quelmap-inc/quelmap","owner":"quelmap-inc","repo":"quelmap","owner_avatar_url":"https://avatars.githubusercontent.com/u/177920714?v=4","primary_language":"TypeScript","stars":200,"forks":21,"topics":["data-analysis","data-analysis-agent","data-science","local-ai-agents","local-llm","open-source"],"archived":false,"github_pushed_at":"2025-10-20T13:21:40+00:00","maintenance_label":"Slowing","stars_delta_30d":-2,"url":"https://www.graphcanon.com/tools/quelmap-inc-quelmap","markdown_url":"https://www.graphcanon.com/tools/quelmap-inc-quelmap.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/quelmap-inc-quelmap","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=quelmap-inc-quelmap","description":"Open Source Local Data Analysis Assistant.","homepage_url":"https://quelmap.com","license":"Apache-2.0","open_issues":4,"watchers":3,"ai_summary":"An open-source local tool for data analysis that operates with AI agents.","readme_excerpt":"# Quick Start\n\nIntroduce you how to run **quelmap** on your machine.\n\n1. Ensure Docker is installed and running on your system.\n\n2. Clone the quelmap repository:\n```bash\ngit clone https://github.com/quelmap-inc/quelmap.git\n```\n\n3. After cloning, navigate to the directory containing the project files.\n```bash\ncd quelmap\n```\n\n4. Start the application\n```bash\ndocker compose up --build -d\n```\nThis command sets up 3 containers(Application, Python Sandbox, PostgresDB). Wait for starting up all containers, Access \"http://localhost:3030\".\nYou can use any LLM provider’s model by setting the base_url and api_key from the settings icon in the top right (by default, Ollama is used).\n- ollama (default)\n- llama.cpp\n- LM Studio\n- vllm\n- OpenAI\n- Anthropic\n- Groq\n- (And more)\n\n**If you don't know what is base_url and api_key, please google \"(Provider Name such as llama.cpp) openai compatible\"*\n\nIf you set an LLM provider such as OpenAI or Groq, your dataset schema will be sent. If you want to run everything completely locally, please proceed to the LLM setup steps below.","github_created_at":"2025-09-12T13:17:04+00:00","created_at":"2026-07-15T11:00:47.79134+00:00","updated_at":"2026-09-20T05:06:04.12598+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"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"}],"tags":[{"slug":"data-analysis","name":"data-analysis"},{"slug":"local-ai-agents","name":"local-ai-agents"},{"slug":"open-source","name":"open-source"}],"trust":{"provenance":{"is_fork":false,"github_id":1055571740,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-20T05:06:01.713Z","maintenance":{"label":"Slowing","score":36,"methodology":"github_public_v1","releases_90d":0,"days_since_push":334,"last_release_at":null,"stars_delta_30d":-2,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-15T11:00:49.052Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-20T05:06:02.744Z"},"deploy":{"source":"dockerfile:docker-compose.yml","self_host":true,"observed_at":"2026-09-20T05:06:02.744Z","managed_saas":false},"languages":{"value":["typescript"],"source":"github.language","observed_at":"2026-09-20T05:06:02.744Z"},"has_docker":{"value":true,"source":"dockerfile:docker-compose.yml","observed_at":"2026-09-20T05:06:02.744Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-09-20T05:06:02.744Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["Use Quelmap when you require an open-source solution for local data analysis with the support of AI functionalities.","Consider Quelmap if your project involves local AI agent operations and requires modifications to its inner workings due to it being open source."],"when_not_to_use":["Avoid using Quelmap in scenarios where a closed-source, fully-supported commercial tool is preferred for data analysis tasks.","Do not use Quelmap if you do not have the technical capability to make modifications or troubleshoot an open-source project."],"source":"enrich:decision_facts","observed_at":"2026-07-17T09:10:56.844Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Quelmap is an open-source tool designed for performing data analysis locally utilizing AI agents."}]}}