X-Git-Url: https://git.jsancho.org/?p=datasette-pytables.git;a=blobdiff_plain;f=ANNOUNCE.md;h=71eff2dddcded3aaad4deee7c9384090437f8d28;hp=220af828be9acb06bc7cd6c0b20264944268abbd;hb=54aeb4a8918f31b273875646d7a56a1c4da34564;hpb=9e19923af68689f7679d2dfb6407d52010759236

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-# Announcing datasette-pytables 1.0.0
+# Announcing datasette-pytables 1.1.0
 
 ## What's new
 
-This is the first public release.  Many things are working, most specially:
-
-* Filters (e.g. `temp >= 3`) are working.
-
-* Sorted by is working for columns with CSI indexes.
-
-* Pagination is implemented for the first dimension of tables or arrays.
-
-* Arrays can be visualized (at least when they are small).
+This new release of datasette-pytables stops using datasette-core (a Datasette fork for supporting external connectors like this one) and starts using datasette-connectors.
 
 ## What it is
 
-Datasette-PyTables provides a web interface and a JSON API for [PyTables](https://github.com/PyTables/PyTables) files, allowing them to be accessible for e.g. Javascript programs. It works in conjunction with [Datasette-Core](https://github.com/PyTables/datasette-core), a trivial fork of the original [Datasette](https://github.com/simonw/datasette), which provides a web interface for SQLite files.  This fork is able to work with SQLite files, like the original project, but can accept external connectors for any kind of database files, so you can develop your own connector for your favourite data container if you want (read [developers doc](https://github.com/PyTables/datasette-pytables/blob/master/DEVELOPERS.md)).
+Datasette-PyTables provides a web interface and a JSON API for [PyTables](https://github.com/PyTables/PyTables) files, allowing them to be accessible for e.g. Javascript programs. It works in conjunction with [Datasette-Connectors](https://github.com/PyTables/datasette-connectors), a module that patches [Datasette](https://github.com/simonw/datasette), which provides a web interface for SQLite files. With this patch, it's possible to work with SQLite files in the usual way but external connectors are accepted for any kind of database files, so you can develop your own connector for your favourite data container if you want (read [developers doc](https://github.com/PyTables/datasette-connectors/blob/master/DEVELOPERS.md)).
 
 ## Resources