Simon Willison’s Weblog

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Items tagged projects in Oct

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DALL-E 3, GPT4All, PMTiles, sqlite-migrate, datasette-edit-schema

I wrote a lot this week. I also did some fun research into new options for self-hosting vector maps and pushed out several new releases of plugins.

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Execute Jina embeddings with a CLI using llm-embed-jina

Berlin-based Jina AI just released a new family of embedding models, boasting that they are the “world’s first open-source 8K text embedding model” and that they rival OpenAI’s text-embedding-ada-002 in quality.

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Weeknotes: the Datasette Cloud API, a podcast appearance and more

Datasette Cloud now has a documented API, plus a podcast appearance, some LLM plugins work and some geospatial excitement.

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Datasette 0.63: The annotated release notes

I released Datasette 0.63 today. These are the annotated release notes.

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Weeknotes: DjangoCon, SQLite in Django, datasette-gunicorn

I spent most of this week at DjangoCon in San Diego—my first outside-of-the-Bay-Area conference since the before-times.

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Measuring traffic during the Half Moon Bay Pumpkin Festival

This weekend was the 50th annual Half Moon Bay Pumpkin Festival.

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Half Moon Bay Pumpkin Festival traffic on Saturday 15th October 2022 (via) It’s the Half Moon Bay Pumpkin Festival this weekend... and its impact on the traffic between our little town of El Granada and Half Moon Bay—8 minutes drive away—is notorious. So I built a git scraper that archives estimated driving times from the Google Maps Navigation API, and used git-history to turn that scraped data into a SQLite database and visualize it on a chart. # 16th October 2022, 3:56 am

shot-scraper 1.0 (via) Only a minor release in terms of features, but I decided that I’m comfortable enough with the CLI design at this point that I’m ready to stamp a 1.0 on it and commit to not making backwards-incompatible changes (at least without shipping a 2.0 release, which I’d like to avoid if possible). # 15th October 2022, 9:28 pm

Weeknotes: Publishing data using Datasette Cloud

My initial preview releases of Datasette Cloud (the SaaS version of my Datasette open source project) have focused on private data collaboration.

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Weeknotes: incremental improvements

I’ve been writing my talk for PyCon Argentina this week, which has proved surprisingly time consuming. I hope to have that wrapped up soon—I’m pre-recording it, which it turns out is much more work than preparing a talk to stream live.

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Weeknotes: evernote-to-sqlite, Datasette Weekly, scrapers, csv-diff, sqlite-utils

This week I built evernote-to-sqlite (see Building an Evernote to SQLite exporter), launched the Datasette Weekly newsletter, worked on some scrapers and pushed out some small improvements to several other projects.

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Building an Evernote to SQLite exporter

I’ve been using Evernote for over a decade, and I’ve long wanted to export my data from it so I can do interesting things with it.

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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

Datasette 0.50: The annotated release notes

I released Datasette 0.50 this morning, with a new user-facing column actions menu feature and a way for plugins to make internal HTTP requests to consume the JSON API of their parent Datasette instance.

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Git scraping: track changes over time by scraping to a Git repository

Git scraping is the name I’ve given a scraping technique that I’ve been experimenting with for a few years now. It’s really effective, and more people should use it.

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Weeknotes: Datasette column actions, plus three new plugins

A renewed emphasis on building out Datasette Cloud has produced three new plugins this week: datasette-dateutil, datasette-import-table and datasette-edit-schema, plus a major improvement to Datasette’s default interface for browsing tables.

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Weeknotes: Niche Museums, Kepler, Trees and Streaks

Every now and then someone will ask “so when are you going to build Museums Near Me then?”, based on my obsession with niche museums and websites like www.owlsnearme.com.

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Weeknotes: The Squirrel Census, Genome SQL query

This week was mostly about incremental improvements. And squirrels.

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Weeknotes: PG&E outages, and Open Source works!

My big focus this week was the PG&E outages project. I’m really pleased with how this turned out: the San Francisco Chronicle used data from it for their excellent PG&E outage interactive (mixing in data on wind conditions) and it earned a bunch of interest on Twitter and some discussion on Hacker News.

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Tracking PG&E outages by scraping to a git repo

PG&E have cut off power to several million people in northern California, supposedly as a precaution against wildfires.

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SQL Murder Mystery in Datasette (via) “A crime has taken place and the detective needs your help. The detective gave you the  crime scene report, but you somehow lost it. You vaguely remember that the crime  was a murder that occurred sometime on ​Jan.15, 2018 and that it took place in SQL  City. Start by retrieving the corresponding crime scene report from the police  department’s database.”—Really fun game to help exercise your skills with SQL by the NU Knight Lab. I loaded their SQLite database into Datasette so you can play in your browser. # 7th October 2019, 11:37 pm

Weeknotes: Dogsheep

Having figured out my Stanford schedule, this week I started getting back into the habit of writing some code.

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twitter-to-sqlite 0.6, with track and follow. I shipped a new release of my twitter-to-sqlite command-line tool this evening. It now includes experimental features for subscribing to the Twitter streaming API: you can track keywords or follow users and matching Tweets will be written to a SQLite database in real-time as they come in through the API. Since Datasette supports mutable databases now you can run Datasette against the database and run queries against the tweets as they are inserted into the tables. # 6th October 2019, 4:54 am

The interesting ideas in Datasette

Datasette (previously) is my open source tool for exploring and publishing structured data. There are a lot of ideas embedded in Datasette. I realized that I haven’t put many of them into writing.

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Implementing faceted search with Django and PostgreSQL

I’ve added a faceted search engine to this blog, powered by PostgreSQL. It supports regular text search (proper search, not just SQL“like” queries), filter by tag, filter by date, filter by content type (entries vs blogmarks vs quotation) and any combination of the above. Some example searches:

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Tweetersation. Nat and my latest side project: a JSONP API powered tool to more easily follow conversations between people on Twitter, by combining their tweets in to a single timeline. # 2nd October 2008, 5:08 pm

Get Lat Lon. I finally got fed up of hunting around for simple latitude/longitude tools when messing around with mapping APIs, so I built my own with a memorable URL. I plan to add new features as and when I need them. # 12th October 2007, 2:14 pm