alchemy-utils 0.1a0
Release: alchemy-utils 0. 1a0 I've long pondered what a database agnostic version of my sqlite-utils Python library and CLI utility might look like.
Release: datasette-upload-dbs 0. 5a0 This plugin has been around for a while - it lets users upload a brand new SQLite database to a hosted Datasette instance, at which point that database will start being served by that instance.
Release: alchemy-utils 0. 1a0 I've long pondered what a database agnostic version of my sqlite-utils Python library and CLI utility might look like.
The article announces the release of github-to-sqlite version 2.9.1. It includes a fix that ensures compatibility with sqlite-utils 4.x. The update is relevant for users integrating GitHub data into SQLite databases.
Release: sqlite-utils 4. 2 Lots of improvements in this one relating to the table.
The article announces the release of Datasette 1.0a40, which includes a security fix identical to that in version 0.65.5, new features such as the ability for plugins to launch and manage background tasks via the datasette.add_background_task() method, and a migration to httpx2 to support features like datasette.client.get(). The update also contains numerous bug fixes, many of which were addressed during a recent triage effort for the upcoming 1.0 stable release.
Simon Willison released commit-rewriter 0.1, a web app that lets users edit commit messages for a repository. The tool is useful for cleaning up commits that contain internal references or unwanted code before publication. After editing, it creates a timestamped branch to preserve the original state and rewrites the selected commits.
Datasette 1.0a39 and 0.65.4 are new security patch releases for the current alpha series and the stable 0.65.x family. The updates address security fixes that are important for public-facing Datasette instances, especially those that mix public and private tables. The patches were developed after an extensive audit using advanced AI models and collaborative review, and the process will be incorporated into future development work.
The article announces the release of datasette-publish-fly version 1.4. It highlights new features such as setting force_https=true in fly.toml, a fix for the "Volume could not be found" bug, and compatibility with app‑scoped deploy tokens. The release is tagged under datasette and fly.
Simon Willison released web-edit 0.1a0, a Python web app that offers a web UI for viewing and editing files within a folder. The app was built using Codex Remote and GPT‑6 Astra Extra High, and it utilizes CodeMirror 6 for editing, chosen over Monaco for better mobile support. Designed to run over Tailscale, the tool allows the author to edit files directly from his phone without routing credentials through the LLM.
The article announces the release of Datasette version 1.0a39, noting that it includes security updates. It references the Datasette blog for details on the 1.0a39 release and the 0.65.4 security releases. The release is tagged with security and datasette.
The article announces the release of Datasette version 0.65.4, noting that it includes security updates. It references the Datasette blog for more details on the 1.0a39 and 0.65.4 security releases. The release is tagged as a security update for the Datasette project.
The article announces the release of datasette-explain version 0.2.2, noting that the plugin’s plan explanations now work on read‑only stored‑query pages. The author upgraded the demo site to Datasette 1.0a40, which motivated the new plugin version. The release is tagged for sqlite and datasette users.
Git4Data introduces a database-native version‑control layer that treats a database as a repository and each table as a versioned object, exposing Git‑style operations—snapshot/tag, branch, diff, and merge—through SQL extensions. Implemented in MatrixOne, it leverages immutable object storage and MVCC so that operation costs depend on the size of the change rather than the entire dataset. In agentic branching workloads, Git4Data outperforms DoltDB by up to an order of magnitude, demonstrating efficient versioning for AI agents.