obsidian-dataview

You can query Obsidian notes to extract metadata by using declarative DQL queries to list, filter, and aggregate note data for building reading lists and research indexes. Dataview supports List, Table, Task, and Calendar views to summarize and structure your notes.

DQL provides declarative queries for listing and filtering note data, while DataviewJS enables custom scripting for advanced rendering and computations. Both extract Obsidian note metadata, but DataviewJS offers deeper flexibility for custom project dashboards and knowledge graphs.

Yes, inline fields and metadata extraction are fully supported for task tracking and knowledge graphs in Obsidian. By embedding inline fields within your notes, you can structure scattered data into searchable insights and query them directly using DQL or DataviewJS.

The best way to scope Dataview queries is by using the FROM clause to target specific folders or tags in Obsidian. This ensures your DQL queries only extract metadata from the relevant notes, maintaining performance and keeping your project dashboards focused.

Yes, Dataview includes recommended usage patterns and performance safeguards for large Obsidian knowledge bases. Using FROM scoping and declarative DQL queries prevents performance bottlenecks when extracting metadata and indexing logs across extensive note collections.

Dataview queries may fail if note metadata is not properly structured or if FROM scoping is misconfigured. Ensure your inline fields are correctly formatted and that your DQL or DataviewJS syntax aligns with the recommended patterns for extracting and analyzing Obsidian note data.