Skip to main content

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, process ID, attached databases and installed plugins.

Example output:

http://127.0.0.1:8007/ - v1.0a26 - PID: 42373
  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 - PID: 42374
  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 - PID: 12345
  Databases:
    logs: /Users/simon/Library/Application Support/io.datasette.llm/logs.db
http://0.0.0.0:8014/ - v1.0a26 - PID: 42375
  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

Metadata

Release files for datasette-ports 0.4

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 0.4
File Size Uploaded Provenance Actions
datasette_ports-0.4.tar.gz 10.5 kB With provenance Details for datasette_ports-0.4.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for datasette-ports 0.4
File Interpreter ABI Platform Actions
datasette_ports-0.4-py3-none-any.whl Python 3 none any Details for datasette_ports-0.4-py3-none-any.whl

Total release size: 19.6 kB

Release files / datasette_ports-0.4.tar.gz

Download URL datasette_ports-0.4.tar.gz
Size 10.5 kB
Tags Source
SHA-256 checksum
How to use checksums
c63fd96b8cab8def4dde76934a3ecfc217398e787e206616a8764dd41b03ffe9
BLAKE2b-256 checksum
How to use checksums
01401a18b21d4b88bd38deaec99b3d54da55795427cc859a0334ecd33a55a0a1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 Oct 12, 2026.

Transparency log

Release files / datasette_ports-0.4-py3-none-any.whl

Download URL datasette_ports-0.4-py3-none-any.whl
Size 9.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
226f96f8a95eae4441a011cc3e9d8ca78a0be97878d56543839170461f7f2f89
BLAKE2b-256 checksum
How to use checksums
13e00376b6a5593bdc55b3011feb11164cfc78e7f72bf2c6d18399448d9d4bb9
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

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 Oct 12, 2026.

Transparency log

Security for datasette-ports 0.4

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.

Full provenance

Both files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for datasette_ports-0.4.tar.gz

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 Oct 12, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page