# datasette-pytables
-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-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)).
## Installation
This will start a web server on port 8001; then you can access to your data visiting [http://localhost:8001/](http://localhost:8001/)
Read the [Datasette documentation](http://datasette.readthedocs.io/en/latest/) for more advanced options.
-
-# TODO
-
-* Allow a clickable link when browsing tables with nested fields or multi-dimensional arrays
-
-* Show the columns that can be sorted by instead of just raising an exception.
projects / datasette-pytables.git / blobdiff