1,521 posts tagged “datasette”
Datasette is an open source tool for exploring and publishing data.
2020
Personal Data Warehouses: Reclaiming Your Data
I gave a talk yesterday about personal data warehouses for GitHub’s OCTO Speaker Series, focusing on my Datasette and Dogsheep projects. The video of the talk is now available, and I’m presenting that here along with an annotated summary of the talk, including links to demos and further information.
[... 5,166 words]Intent to Remove: HTTP/2 and gQUIC server push (via) The Chrome / Blink team announce their intent to remove HTTP/2 server push support, where servers can start pushing an asset to a client before it has been requested. It’s been in browsers for over five years now and adoption is terrible. “Over the past 28 days [...] 99.97% of connections never received a pushed stream that got matched with a request [...] These numbers are exactly the same as in June 2019”. Datasette serves redirects with Link: preload headers that cause smart proxies (like Cloudflare) to push the redirected page to the client along with the redirect, but I don’t exepect to miss that optimization if it quietly stops working.
Datasette 0.51 (plus weeknotes)
I shipped Datasette 0.51 today, with a new visual design, plugin hooks for adding navigation options, better handling of binary data, URL building utility methods and better support for running Datasette behind a proxy. It’s a lot of stuff! Here are the annotated release notes.
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- Adds link to Datasette's new navigation menu, added in Datasette 0.51.
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.
[... 630 words]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).
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.
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.
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.
[... 1,879 words]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.
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”
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.
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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