id,page,ref,title,content,breadcrumbs,references ecosystem:sqlite-utils,ecosystem,sqlite-utils,sqlite-utils,"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: 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. Configure tables for use with SQLite full-text search, including creating triggers needed to keep the search index up-to-date. 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. Adding foreign keys to existing database tables. Extracting columns of data into a separate lookup table.","[""The Datasette Ecosystem""]","[{""href"": ""https://sqlite-utils.datasette.io/"", ""label"": ""sqlite-utils""}]" ecosystem:dogsheep,ecosystem,dogsheep,Dogsheep,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.,"[""The Datasette Ecosystem""]","[{""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""}]"