# Tools > Every listed resource, editors’ picks first. The filters below can be combined. - Search: append `?q=` to the URL. Separate several keywords with spaces; all of them must match. Matches name, repository, tags, professions, description and README. - Filter by type: append `?type=` to the URL. - Filter by profession: append `?profession=` to the URL. Separate several ids with commas; a resource matches when it suits any of them. Ids are listed at https://hebbmind.com/api/v1/professions - Filter by tag: append `?tag=` to the URL. Separate several tags with commas; a resource must carry all of them. Tags are listed at https://hebbmind.com/api/v1/tags Resources for ML / AI or GIS / Surveying or Finance / Accounting or Research / Academia, Tagged `sql`: 8 items. > - ML / AI: Model training, evaluation and LLM application development. > - GIS / Surveying: Spatial data and analysis, QGIS mapping, remote sensing, geocoding, routing and map services. > - Finance / Accounting: Bookkeeping, reconciliation, financial statements, budgets and tax. > - Research / Academia: Literature search and reviews, experimental data analysis, paper writing and submission. - [Datasette](https://hebbmind.com/cli/datasette.md): [CLI] Publishes SQLite databases as browsable, queryable web pages and JSON APIs, with SQL queries, metadata and plugins, and deploys to Cloud Run and other platforms with datasette publish. Great for data exploration and data journalism. Needs Python 3.10+. - [Jupyter Notebooks](https://hebbmind.com/skill/jupyter-notebook.md): [Skill] Creates, edits and validates reproducible Python and SQL Jupyter notebooks: organizes cells as reports or tutorials, checks conclusions against actual output and reruns top to bottom before handoff. Maintained by OpenAI in the Data Analytics plugin of openai/plugins. - [GeoSQL](https://hebbmind.com/skill/geosql.md): [Skill] Helps agents write geospatial SQL for PostGIS, DuckDB, BigQuery and Snowflake: inspect schemas and keep query costs in check, then render results as interactive maps to review and correct. Needs Python and your own database or warehouse; maps use Dekart, which can run locally in Docker. - [DuckDB Skills](https://hebbmind.com/skill/duckdb-skills.md): [Skill] Official DuckDB skills: query local or S3 CSV, Parquet, Excel and JSON files with SQL or plain language, attach databases, convert formats, analyze spatial data and look up documentation. Needs the DuckDB CLI; tested only on macOS and Linux. - [Databricks Agent Skills](https://hebbmind.com/skill/databricks-agent-skills.md): [Skill] Official Databricks skills guiding agents to build Lakeflow pipelines and jobs, Apps, Lakebase, Vector Search, Model Serving and AI/BI dashboards on the lakehouse. Needs the Databricks CLI. - [NetSuite AI Companion](https://hebbmind.com/plugin/netsuite-ai-companion.md): [Plugin] Official Oracle NetSuite plugin for the AI Connector: has AI use standard reports and saved searches first, applies debit/credit, multi-subsidiary consolidation and currency rules, and safety-checks SuiteQL to avoid reporting errors. Needs NetSuite with AI Connector; finance should verify. - [beanquery](https://hebbmind.com/cli/beanquery.md): [CLI] Beancount's official query tool, bean-query: run SQL-like queries on plain-text double-entry ledgers to get balances, income and expense summaries and account details, for agent-assisted bookkeeping. Needs uv or Python 3.8+ and a Beancount ledger; have an accountant review reports. - [3DCityDB MCP Server](https://hebbmind.com/mcp/3dcitydb-mcp-server.md): [MCP] From TUM's Chair of Geoinformatics (a 3DCityDB co-developer): query CityGML 3D city models in 3DCityDB v5 in plain language, covering both spatial and semantic attributes, with read-only SQL. Needs a deployed 3DCityDB database and Python; register it from the folder with your .env config.