# datasette-pytables

**Repository Path**: mirrors_PyTables/datasette-pytables

## Basic Information

- **Project Name**: datasette-pytables
- **Description**: Datasette connector for dealing with PyTables and pandas/HDF5 files
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-18
- **Last Updated**: 2026-08-01

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

[![Build Status](https://travis-ci.org/PyTables/datasette-pytables.svg?branch=master)](https://travis-ci.org/PyTables/datasette-pytables)


# 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](https://github.com/simonw/datasette), which provides a web interface for SQLite files. Thanks to [Datasette-Connectors](https://github.com/PyTables/datasette-connectors), Datasette 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

Run `pip install datasette-pytables` to install both Datasette and the PyTables connector. Easy as pie!

## How to serve PyTables files

    datasette serve path/to/data.h5

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.

See how a typical Table query looks like in the Datasette-PyTables web interface:

![Datasette Screenshot](/images/Datasette-Screenshot.png)