Simon Willison’s Weblog

Defining Data Intuition. Ryan T. Harter, Principal Data Scientist at Mozilla defines data intuition as “a resilience to misleading data and analyses”. He also introduces the term “data-stink” as a similar term to “code smell”, where your intuition should lead you to distrust analysis that exhibits certain characteristics without first digging in further. I strongly believe that data reports should include a link the raw methodology and numbers to ensure they can be more easily vetted—so that data-stink can be investigated with the least amount of resistance. # 29th October 2020, 3:14 pm

OCTO Speaker Series: Simon Willison—Personal Data Warehouses: Reclaiming Your Data. I’m giving a talk in the GitHub OCTO (Office of the CTO) speaker series about Datasette and my Dogsheep personal analytics project. You can register for free here—the stream will be on Thursday November 12, 2020 at 8:30am PST (4:30pm GMT). # 23rd October 2020, 3 am

CG-SQL (via) This is the toolkit the Facebook Messenger team wrote to bring stored procedures to SQLite. It implements a custom version of the T-SQL language which it uses to generate C code that can then be compiled into a SQLite module. # 22nd October 2020, 6:25 pm

Project LightSpeed: Rewriting the Messenger codebase for a faster, smaller, and simpler messaging app (via) Facebook rewrote their iOS messaging app earlier this year, dropping it from 1.7m lines of code to 360,000 and reducing the binary size to a quarter of what it was. A key part of the new app’s architecture is much heavier reliance on SQLite to coordinate data between views, and to dynamically configure how different views are displayed. They even built their own custom system to add stored procedures to SQLite so they could execute portable business logic inside the database. # 22nd October 2020, 6:22 pm

Proof of concept: sqlite_utils magic for Jupyter (via) Tony Hirst has been experimenting with building a Jupyter “magic” that adds special syntax for using sqlite-utils to insert data and run queries. Query results come back as a Pandas DataFrame, which Jupyter then displays as a table. # 21st October 2020, 5:26 pm

Pikchr. Interesting new project from SQLite creator D. Richard Hipp. Pikchr is a new mini language for describing visual diagrams, designed to be embedded in Markdown documentation. It’s already enabled for the SQLite forum. Implementation is a no-dependencies C library and output is SVG. # 21st October 2020, 4:02 pm

This page is a truly naked, brutalist html quine. (via) I love it. # 19th October 2020, 6:46 pm

Dogsheep: Personal analytics with Datasette. The second edition of my new Datasette Weekly newsletter, talks about Dogsheep, Dogsheep Beta, Datasette 1.0 and features datasette-cluster-map as the plugin of the week. # 19th October 2020, 4:38 pm

xml-analyser. In building evernote-to-sqlite I dusted off an ancient (2009) project I built that scans through an XML file and provides a summary of what elements are present in the document and how they relate to each other. I’ve now packaged it up as a CLI app and published it on PyPI. # 12th October 2020, 12:41 am

evernote-to-sqlite (via) The latest tool in my Dogsheep series of utilities for personal analytics: evernote-to-sqlite takes Evernote note exports en their ENEX XML format and loads them into a SQLite database. Embedded images are loaded into a BLOB column and the output of their cloud-based OCR system is added to a full-text search index. Notes have a latitude and longitude which means you can visualize your notes on a map using Datasette and datasette-cluster-map. # 12th October 2020, 12:38 am

Datasette Weekly: Datasette 0.50, git scraping, extracting columns (via) The first edition of the new Datasette Weekly newsletter—covering Datasette 0.50, Git scraping, extracting columns with sqlite-utils and featuring datasette-graphql as the first “plugin of the week” # 10th October 2020, 9 pm

Datasette Weekly (via) I’m trying something new: I’ve decided to start an email newsletter called the Datasette Weekly (I’m already worried I’ll regret that weekly promise) which will share news about Datasette and the Datasette ecosystem, plus tips and tricks for getting the most out of Datasette and SQLite. # 10th October 2020, 7:05 pm

Animating a commit based Sudoku game using Puppeteer (via) This is really clever. There’s a GitHub repo that tracks progress in a game of Sudoku: Anish Karandikar wrote code which iterates through the game board state commit by commit, uses that state to generate an HTML table, passes that table to Puppeteer using a data: URI, renders a PNG of each stage and then concatenates those PNGs together into an animated GIF using the gifencoder Node.js library. # 9th October 2020, 10:28 pm

Bedrock: The SQLitening (via) Back in March 2018 www.mozilla.org switched over to running on Django using SQLite! They’re using the same pattern I’ve been exploring with Datasette: their SQLite database is treated as a read-only cache by their frontend servers, and a new SQLite database is built by a separate process and fetched onto the frontend machines every five minutes by a scheduled task. They have a healthcheck page which shows the latest version of the database and when it was fetched, and even lets you download the 25MB SQLite database directly (I’ve been exploring it using Datasette). # 7th October 2020, 11:47 pm

Running Datasette on DigitalOcean App Platform (via) I spent some time with DigitalOcean’s new App Platform today, which is a Heroku-style PaaS that starts at $5/month. It looks like it could be a really good fit for Datasette. Disk is ephemeral, but if you’re publishing read-only data that doesn’t matter since you can build the SQLite database as part of the deployment and bundle it up in the Docker/Kubernetes container. # 7th October 2020, 2:52 am

Potential new elevator pitch / tagline for Datasette: The best way to publish data online (via) One of the biggest challenges I’ve had with Datasette is compressing it into a single elevator pitch or tagline that helps answer the question “what does this software do?”—the project does a lot of different things, so finding the right angle for explaining it has proved really difficult. I’m workshopping a new tagline over on the Datasette discussion forum—feedback, suggestions and challenges very welcome! # 4th October 2020, 12:03 am