Simon Willison’s Weblog

175 items tagged “datasette”

2020

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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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

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

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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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

Weeknotes: Mainly Datasette 0.50

Most of what I’ve been up to this week is covered in Datasette 0.50: The annotated release notes and Git scraping: track changes over time by scraping to a Git repository.

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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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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

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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datasette-dateutil (via) New Datasette plugin exposing date/time parsing custom SQL functions powered by the classic dateutil Python library. # 28th September 2020, 12:33 am

Weeknotes: software carpentry, compiling modules for SQLite

This week I completed the Software Carpentry instructor training course, added two foundational features to sqlite-utils and learned how to compile modules for SQLite.

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Weeknotes: datasette-seaborn, fivethirtyeight-polls

This week I released Datasette 0.49 and tinkered with datasette-seaborn, dogsheep-beta and polling data from FiveThirtyEight.

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Datasette 0.49: The annotated release notes

Datasette 0.49 is out. Some notes on what’s new.

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Weeknotes: datasette-dump, sqlite-backup, talks

I spent some time this week digging into Python’s sqlite3 internals. I also gave two talks and recorded a third, due to air at PyGotham in October.

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The “await me maybe” pattern for Python asyncio

I’ve identified a pattern for handling potentially-asynchronous callback functions in Python which I’m calling the “await me maybe” pattern. It works by letting you return a value, a callable function that returns a value OR an awaitable function that returns that value.

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Weeknotes: California Protected Areas in Datasette

This week I built a geospatial search engine for protected areas in California, shipped datasette-graphql 1.0 and started working towards the next milestone for Datasette Cloud.

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California Protected Areas Database in Datasette (via) I built this yesterday: it’s a Datasette interface on top of the CPAD 2020 GIS database of protected areas in California maintained by GreenInfo Network. This was a useful excuse to build a GitHub Actions flow that builds a SpatiaLite database using my shapefile-to-sqlite tool, and I fixed a few bugs in my datasette-leaflet-geojson plugin as well. # 21st August 2020, 11:15 pm

Weeknotes: Rocky Beaches, Datasette 0.48, a commit history of my database

This week I helped Natalie launch Rocky Beaches, shipped Datasette 0.48 and several releases of datasette-graphql, upgraded the CSRF protection for datasette-upload-csvs and figured out how to get a commit log of changes to my blog by backing up its database to a GitHub repository.

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Weeknotes: Installing Datasette with Homebrew, more GraphQL, WAL in SQLite

This week I’ve been working on making Datasette easier to install, plus wide-ranging improvements to the Datasette GraphQL plugin.

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Datasette 0.46 (via) I just released Datasette 0.46 with a security fix for an issue involving CSRF tokens on canned query pages, plus a new debugging tool, improved file downloads and a bunch of other smaller improvements. # 9th August 2020, 4:57 pm

GraphQL in Datasette with the new datasette-graphql plugin

This week I’ve mostly been building datasette-graphql, a plugin that adds GraphQL query support to Datasette.

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Fun with binary data and SQLite

This week I’ve been mainly experimenting with binary data storage in SQLite. sqlite-utils can now insert data from binary files, and datasette-media can serve content over HTTP that originated as binary BLOBs in a database file.

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datasette-media 0.4. datasette-media is my Datasette plugin for serving media (e.g. images) directly from Datasette. The first version used file paths saved in a column and served the data from disk—this new version adds the ability to serve content from BLOB columns, such as those created by the new “sqlite-utils insert-files” command. It also adds configurable support for resizing images based on querystring parameters like ?w=100. # 28th July 2020, 2:22 am

Weeknotes: datasette-copyable, datasette-insert-api

Two new Datasette plugins this week: datasette-copyable, helping users copy-and-paste data from Datasette into other places, and datasette-insert-api, providing a JSON API for inserting and updating data and creating tables.

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Weeknotes: datasette-auth-passwords, a Datasette logo and a whole lot more

All sorts of project updates this week.

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