2 مستودعات
Mechanisms for selecting data sources based on origin attributes like tags and paths.
Distinguishing note: None of the candidates describe selecting files/tasks based on their source attributes like tags or bidirectional links.
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This project is a Python-based web scraping tool and command line image downloader designed to automate the retrieval of images from Google Images. It functions as an image dataset collector, allowing users to gather large sets of images for data analysis or research through a terminal interface or programmatic scripts. The tool features advanced search filtering to restrict results by file format, color, size, aspect ratio, and usage rights. It also supports reverse image search to find visually similar media based on a provided URL and offers search scope expansion to increase result volume
Allows restricting image retrieval to specific websites based on the source origin.
This project is a metadata query engine and indexer for markdown files, designed to transform YAML frontmatter and inline fields into dynamic tables and lists. It provides a background process that extracts tags and custom fields into a searchable database, enabling the automated indexing of notes. The system is distinguished by its dual approach to data retrieval: a dedicated query language for SQL-like filtering and grouping, and a JavaScript data API. This API allows for programmatic metadata extraction and the creation of custom views and extensions using TypeScript typings. Its broader
Retrieves files, sections, or tasks based on tags, folder paths, or bidirectional links.