recent_releases (view)
1 row where body_markdown = "- New experimental `sqlite-utils tui` interface for interactively building command-line invocations, powered by [Trogon](https://github.com/Textualize/trogon). This requires an optional dependency, installed using `sqlite-utils install trogon`. There is a screenshot [in the documentation](https://sqlite-utils.datasette.io/en/stable/cli.html#cli-tui). ([#545](https://github.com/simonw/sqlite-utils/issues/545)) - `sqlite-utils analyze-tables` command ([documentation](https://sqlite-utils.datasette.io/en/stable/cli.html#cli-analyze-tables)) now has a `--common-limit 20` option for changing the number of common/least-common values shown for each column. ([#544](https://github.com/simonw/sqlite-utils/issues/544)) - `sqlite-utils analyze-tables --no-most` and `--no-least` options for disabling calculation of most-common and least-common values. - If a column contains only `null` values, `analyze-tables` will no longer attempt to calculate the most common and least common values for that column. ([#547](https://github.com/simonw/sqlite-utils/issues/547)) - Calling `sqlite-utils analyze-tables` with non-existent columns in the `-c/--column` option now results in an error message. ([#548](https://github.com/simonw/sqlite-utils/issues/548)) - The `table.analyze_column()` method ([documented here](https://sqlite-utils.datasette.io/en/stable/python-api.html#python-api-analyze-column)) now accepts `most_common=False` and `least_common=False` options for disabling calculation of those values." and topics contains "datasette-io"
This data as json, CSV (advanced)
Suggested facets: date (date), published_at (date), topics (array)
rowid | repo | release | date | body_markdown | published_at | topics |
---|---|---|---|---|---|---|
140912432 | https://github.com/simonw/sqlite-utils | https://github.com/simonw/sqlite-utils/releases/tag/3.32 | 2023-05-21 |
|
2023-05-21T18:55:42Z | [ "cli", "click", "datasette", "datasette-io", "datasette-tool", "python", "sqlite", "sqlite-database" ] |
Advanced export
JSON shape: default, array, newline-delimited
CREATE VIEW recent_releases AS select repos.rowid as rowid, repos.html_url as repo, releases.html_url as release, substr(releases.published_at, 0, 11) as date, releases.body as body_markdown, releases.published_at, coalesce(repos.topics, '[]') as topics from releases join repos on repos.id = releases.repo order by releases.published_at desc;