| Name | Version | Summary | date |
| llm-anthropic |
0.21.1 |
LLM access to models by Anthropic, including the Claude series |
2025-10-29 16:49:46 |
| datasette-pretty-traces |
0.6 |
Prettier formatting for ?_trace=1 traces |
2025-10-24 17:25:33 |
| pytest-unused-port |
0.2 |
pytest fixture finding an unused local port |
2025-10-22 21:54:04 |
| datasette-events-forward |
0.1a2 |
Forward Datasette events to another instance |
2025-10-21 22:29:37 |
| datasette-remote-actors |
0.1a6 |
Datasette plugin for fetching details of actors from a remote endpoint |
2025-10-21 20:46:28 |
| datasette-events-db |
0.1a1 |
Log Datasette events to a database table |
2025-10-21 20:46:19 |
| datasette-query-assistant |
0.1a4 |
Query databases and tables with AI assistance |
2025-10-21 20:46:14 |
| datasette-checkbox |
0.1a3 |
Add interactive checkboxes to columns in Datasette |
2025-10-21 20:45:42 |
| datasette-remove-database |
0.1a1 |
Remove a database from Datasette |
2025-10-21 00:59:09 |
| datasette-profiles |
0.1a4 |
Editable user profile pages for Datasette |
2025-10-21 00:57:38 |
| datasette-llm-usage |
0.1a1 |
Track usage of LLM tokens in a SQLite table |
2025-10-21 00:56:59 |
| datasette-enrichments-llm |
0.1a1 |
Enrich data by prompting LLMs |
2025-10-21 00:56:24 |
| datasette-debug-events |
0.1a1 |
Print Datasette events to standard error |
2025-10-21 00:55:35 |
| datasette-acl |
0.4a5 |
Advanced permission management for Datasette |
2025-10-21 00:50:43 |
| llm-gemini |
0.26.1 |
LLM plugin to access Google's Gemini family of models |
2025-10-11 05:37:53 |
| asyncinject |
0.6.1 |
Run async workflows using pytest-fixtures-style dependency injection |
2025-10-09 03:23:11 |
| datasette-os-info |
0.1 |
Provide information about the current OS at /-/os |
2025-10-08 22:51:42 |
| llm-openai-plugin |
0.7 |
LLM plugin for OpenAI |
2025-10-06 19:43:32 |
| datasette-demo-dbs |
0.1.1 |
Fetch missing demo DBs from URLs when Datasette first starts |
2025-08-14 20:22:55 |
| llm |
0.27.1 |
CLI utility and Python library for interacting with Large Language Models from organizations like OpenAI, Anthropic and Gemini plus local models installed on your own machine. |
2025-08-12 05:17:46 |
Simon Willison