{"id": "ecosystem:dogsheep", "page": "ecosystem", "ref": "dogsheep", "title": "Dogsheep", "content": "Dogsheep  is a collection of tools for personal analytics using SQLite and Datasette. The project provides tools like  github-to-sqlite  and  twitter-to-sqlite  that can import data from different sources in order to create a personal data warehouse.  Personal Data Warehouses: Reclaiming Your Data  is a talk that explains Dogsheep and demonstrates it in action.", "breadcrumbs": "[\"The Datasette Ecosystem\"]", "references": "[{\"href\": \"https://dogsheep.github.io/\", \"label\": \"Dogsheep\"}, {\"href\": \"https://datasette.io/tools/github-to-sqlite\", \"label\": \"github-to-sqlite\"}, {\"href\": \"https://datasette.io/tools/twitter-to-sqlite\", \"label\": \"twitter-to-sqlite\"}, {\"href\": \"https://simonwillison.net/2020/Nov/14/personal-data-warehouses/\", \"label\": \"Personal Data Warehouses: Reclaiming Your Data\"}]"}
{"id": "ecosystem:sqlite-utils", "page": "ecosystem", "ref": "sqlite-utils", "title": "sqlite-utils", "content": "sqlite-utils  is a key building block for the wider Datasette ecosystem. It provides a collection of utilities for manipulating SQLite databases, both as a Python library and a command-line utility. Features include: \n             \n                 \n                     Insert data into a SQLite database from JSON, CSV or TSV, automatically creating tables with the correct schema or altering existing tables to add missing columns. \n                 \n                 \n                     Configure tables for use with SQLite full-text search, including creating triggers needed to keep the search index up-to-date. \n                 \n                 \n                     Modify tables in ways that are not supported by SQLite's default  ALTER TABLE  syntax - for example changing the types of columns or selecting a new primary key for a table. \n                 \n                 \n                     Adding foreign keys to existing database tables. \n                 \n                 \n                     Extracting columns of data into a separate lookup table.", "breadcrumbs": "[\"The Datasette Ecosystem\"]", "references": "[{\"href\": \"https://sqlite-utils.datasette.io/\", \"label\": \"sqlite-utils\"}]"}