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datasette-ports

PyPI Changelog Tests License

Find all currently running Datasette instances on your machine and list their ports, databases, versions and plugins.

Installation

Install this as a plugin in the same environment as Datasette.

datasette install datasette-ports

Or run it directly using uvx:

uvx datasette-ports

Or install it as a standalone tool:

uv tool install datasette-ports
datasette-ports

Usage

If installed as a Datasette plugin:

datasette ports

Or as a standalone command:

datasette-ports

This uses lsof to find all Python processes listening on TCP ports, then probes each one to check if it is a Datasette instance. For each instance found it displays the URL, Datasette version, attached databases and installed plugins.

Example output:

http://127.0.0.1:8007/ - v1.0a26
  Directory: /Users/simon/dev/blog
  Databases:
    simonwillisonblog: /Users/simon/dev/blog/simonwillisonblog.db
  Plugins:
    datasette-llm
    datasette-secrets
http://127.0.0.1:8001/ - v1.0a26
  Directory: /Users/simon/dev/creatures
  Databases:
    creatures: /tmp/creatures.db
  Plugins:
    datasette-extract
    datasette-llm
    datasette-secrets
http://127.0.0.1:8900/ - v0.65.2
  Databases:
    logs: /Users/simon/Library/Application Support/io.datasette.llm/logs.db
http://0.0.0.0:8014/ - v1.0a26
  Directory: /Users/simon/dev/datasette
  Databases:
    content: /Users/simon/dev/datasette/content.db
    trees: /Users/simon/dev/datasette/trees.db
    _internal
  Plugins:
    datasette-llm
    datasette-visible-internal-db

Database paths come from each instance's /-/databases.json endpoint. Where the process working directory can be determined (via /proc/<pid>/cwd on Linux or lsof on macOS), relative paths are resolved to absolute ones. On platforms where the working directory cannot be determined the Directory: line is omitted and paths are shown as reported by Datasette.

JSON output

Use --json to get machine-readable output:

datasette ports --json
# or
datasette-ports --json
[
  {
    "url": "http://127.0.0.1:8007/",
    "host": "127.0.0.1",
    "port": 8007,
    "pid": 42373,
    "cwd": "/Users/simon/dev/blog",
    "version": "1.0a26",
    "databases": [
      {"name": "simonwillisonblog", "path": "/Users/simon/dev/blog/simonwillisonblog.db"}
    ],
    "plugins": [
      "datasette-llm",
      "datasette-secrets"
    ]
  },
  {
    "url": "http://127.0.0.1:8900/",
    "host": "127.0.0.1",
    "port": 8900,
    "pid": 12345,
    "cwd": null,
    "version": "0.65.2",
    "databases": [
      {"name": "logs", "path": "/Users/simon/Library/Application Support/io.datasette.llm/logs.db"}
    ],
    "plugins": []
  }
]

Development

To set up this project locally, first checkout the code. You can confirm it is available like this:

cd datasette-ports
uv run datasette-ports --help
# Or:
uv run datasette ports --help

To run the tests:

uv run pytest

Release files for datasette-ports 0.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for datasette-ports 0.3
File Size Uploaded
datasette_ports-0.3.tar.gz 9.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for datasette-ports 0.3
File Interpreter ABI Platform
datasette_ports-0.3-py3-none-any.whl Python 3 none any Details

Total release size: 19.0 kB

Release files / datasette_ports-0.3.tar.gz

Download URL datasette_ports-0.3.tar.gz
Size 9.9 kB
Tags Source
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05a59fa1a8c4fb0ec6f86d0b4845980bff64baaa3f4835bd3adbe75a94c0a05e
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Yes
Uploaded via twine/6.1.0 CPython/3.13.12

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PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Apr 15, 2026.

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Release files / datasette_ports-0.3-py3-none-any.whl

Download URL datasette_ports-0.3-py3-none-any.whl
Size 9.1 kB
Tags Python 3
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How to use checksums
25fd64d8e27b7c921b6b9b4e8ac861cfaf8a914214de73cd4f414fb86ae9cc7e
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8125f4e68639834aac7f8f7e2587e4bac5ed3fc9fa4dde35bc5d42074eaabbb5
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Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/6.1.0 CPython/3.13.12

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Apr 15, 2026.

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This release

0.3 This release

2 release files

0.2

2 release files

0.1

2 release files

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