0

datasette

A tool for exploring and publishing data

官方网站
Github 资源库
主要指标

Github星跟踪图

Datasette

PyPI
Python 3.x
Travis CI
Documentation Status
License
Code style: black
docker: datasette

A tool for exploring and publishing data

Datasette is a tool for exploring and publishing data. It helps people take data of any shape or size and publish that as an interactive, explorable website and accompanying API.

Datasette is aimed at data journalists, museum curators, archivists, local governments and anyone else who has data that they wish to share with the world.

Explore a demo, watch a video about the project or try it out by uploading and publishing your own CSV data.

News

Installation

pip3 install datasette

Datasette requires Python 3.6 or higher. We also have detailed installation instructions covering other options such as Docker.

Basic usage

datasette serve path/to/database.db

This will start a web server on port 8001 - visit http://localhost:8001/ to access the web interface.

serve is the default subcommand, you can omit it if you like.

Use Chrome on OS X? You can run datasette against your browser history like so:

 datasette ~/Library/Application\ Support/Google/Chrome/Default/History

Now visiting http://localhost:8001/History/downloads will show you a web interface to browse your downloads data:

Downloads table rendered by datasette

datasette serve options

Usage: datasette serve [OPTIONS] [FILES]...

  Serve up specified SQLite database files with a web UI

Options:
  -i, --immutable PATH      Database files to open in immutable mode
  -h, --host TEXT           Host for server. Defaults to 127.0.0.1 which means
                            only connections from the local machine will be
                            allowed. Use 0.0.0.0 to listen to all IPs and
                            allow access from other machines.
  -p, --port INTEGER        Port for server, defaults to 8001
  --debug                   Enable debug mode - useful for development
  --reload                  Automatically reload if database or code change
                            detected - useful for development
  --cors                    Enable CORS by serving Access-Control-Allow-
                            Origin: *
  --load-extension PATH     Path to a SQLite extension to load
  --inspect-file TEXT       Path to JSON file created using "datasette
                            inspect"
  -m, --metadata FILENAME   Path to JSON file containing license/source
                            metadata
  --template-dir DIRECTORY  Path to directory containing custom templates
  --plugins-dir DIRECTORY   Path to directory containing custom plugins
  --static STATIC MOUNT     mountpoint:path-to-directory for serving static
                            files
  --memory                  Make :memory: database available
  --config CONFIG           Set config option using configname:value
                            datasette.readthedocs.io/en/latest/config.html
  --version-note TEXT       Additional note to show on /-/versions
  --help-config             Show available config options
  --help                    Show this message and exit.

metadata.json

If you want to include licensing and source information in the generated datasette website you can do so using a JSON file that looks something like this:

{
    "title": "Five Thirty Eight",
    "license": "CC Attribution 4.0 License",
    "license_url": "http://creativecommons.org/licenses/by/4.0/",
    "source": "fivethirtyeight/data on GitHub",
    "source_url": "https://github.com/fivethirtyeight/data"
}

Save this in metadata.json and run Datasette like so:

datasette serve fivethirtyeight.db -m metadata.json

The license and source information will be displayed on the index page and in the footer. They will also be included in the JSON produced by the API.

datasette publish

If you have Heroku, Google Cloud Run or Zeit Now v1 configured, Datasette can deploy one or more SQLite databases to the internet with a single command:

datasette publish heroku database.db

Or:

datasette publish cloudrun database.db

This will create a docker image containing both the datasette application and the specified SQLite database files. It will then deploy that image to Heroku or Cloud Run and give you a URL to access the resulting website and API.

See Publishing data in the documentation for more details.

主要指标

概览
名称与所有者simonw/datasette
主编程语言Python
编程语言Python (语言数: 8)
平台
许可证Apache License 2.0
所有者活动
创建于2017-10-23 00:39:03
推送于2025-04-22 05:39:37
最后一次提交2022-10-26 14:34:33
发布数158
最新版本名称1.0a19 (发布于 )
第一版名称0.7 (发布于 )
用户参与
星数10k
关注者数103
派生数736
提交数2.7k
已启用问题?
问题数1854
打开的问题数574
拉请求数342
打开的拉请求数54
关闭的拉请求数111
项目设置
已启用Wiki?
已存档?
是复刻?
已锁定?
是镜像?
是私有?