# Tools

> Every listed resource, editors’ picks first. The filters below can be combined.

- Search: append `?q=<keywords>` 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=<cli|skill|plugin|mcp>` to the URL.
- Filter by profession: append `?profession=<profession id>` 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
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Resources for Data analysis or Security, Tagged `python`, `sql`: 8 items.

> - Data analysis: Querying, statistical analysis, reporting and visualization.
> - Security: Code audits, vulnerability triage, penetration testing and compliance.

- [mycli](https://hebbmind.com/de/cli/mycli.md): [CLI] MySQL terminal client with smart autocompletion and syntax highlighting, also compatible with MariaDB and TiDB. Supports --execute and batch mode with CSV or table output, so agents can run SQL directly.
- [Datasette](https://hebbmind.com/de/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+.
- [SQLFluff](https://hebbmind.com/de/cli/sqlfluff.md): [CLI] Linter and formatter for 20+ SQL dialects that auto-fixes most issues and handles Jinja templating and dbt projects (dbt needs a plugin), suited to warehouse code review and CI.
- [Jupyter Notebooks](https://hebbmind.com/de/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.
- [SQLMesh](https://hebbmind.com/de/cli/sqlmesh.md): [CLI] Framework for writing data transformation models in SQL or Python, with a Terraform-like plan/apply flow, virtual data environments, unit tests and table diffs, and transpilation across 10+ SQL dialects. A Linux Foundation project and an alternative to dbt.
- [sqlite-utils](https://hebbmind.com/de/cli/sqlite-utils.md): [CLI] A CLI and Python library by Simon Willison: imports JSON and CSV straight into SQLite with automatic table creation, runs in-memory SQL queries over files, and supports full-text search and table transformations.
- [MySQL MCP Server](https://hebbmind.com/de/mcp/mysql-mcp-server.md): [MCP] Gives agents controlled access to MySQL: list databases and tables, inspect schemas and sample data, and run SQL, with multi-database mode, SSL and SSH tunnels. Configure your own database user, ideally with least privilege.
- [Apache Doris MCP Server](https://hebbmind.com/de/mcp/doris-mcp-server.md): [MCP] Apache Doris's official MCP: gives agents read-only access to explore table metadata, run and explain SQL, diagnose slow queries, and check cluster status, load jobs and data governance info. Needs Python 3.12+ and Doris 2.0 or later.