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datasette-ocr.txt · GitHub
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```markdown | |
# Datasette | |
## An ecosystem of tools for finding stories in data | |
### Datasette | |
Datasette is a tool for exploring and publishing data. It helps data journalists (and everyone else) take data of any shape, analyze and explore it, and publish it as an interactive website with an accompanying API. | |
#### Features | |
- Datasette-cluster-map | |
- Datasette-graphql | |
- Datasette-publish-cloudrun | |
- Datasette-comments | |
- Datasette-query-assistant | |
- Datasette-extract | |
### sqlite-utils | |
sqlite-utils is a Python library and CLI tool for manipulating SQLite databases. It aims to make the gap from "I have data" to "that data is in SQLite" as small as possible. | |
#### Usage | |
```python | |
from sqlite_utils import Database | |
db = Database("chickens.db") | |
db.table("chickens").insert_all([ | |
{"name": "Duke", "color": "brown"}, | |
{"name": "Diana", "color": "gold"}, | |
{"name": "Daisy", "color": "white"}, | |
]) | |
db.table("chickens").enable_fts() | |
``` | |
### LLM | |
LLM is a Python library and CLI tool for interacting with Large Language Models. It provides a plugin-based abstraction over hundreds of different models, both local and hosted, and logs every interaction with them to SQL. | |
#### Usage | |
```python | |
lm = llm.clouds.J3.haiku.functions.generate_text(prompt="I love") | |
def extract_numbers(s): | |
return re.findall(r'\d+', s) | |
r = "I love (1.23) and 456" | |
m = extract_numbers(r) | |
``` | |
### Resources | |
- [sqlite-utils](https://github.com/simonw/sqlite-utils) | |
- [LLM](https://github.com/datasets/llm) | |
``` |
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