semvec/pypi-packages huggingface dataset:
fooddata 0.1.1
Download, build, and query the USDA food database
License: MIT
Requires Python: >=3.8,<4.0

# fooddata

Download, build, and query the USDA food database.

Do you know what you are putting in your body?

## Installation

```shell script
$ pip install fooddata --upgrade
```

## Usage

```shell script
$ fooddata build
```

```shell script
$ fooddata query "SELECT * from foods WHERE category_id IS NOT NULL LIMIT 100;" --json | jq .
```

```shell script
$ fooddata query "SELECT * from foods WHERE category_id IS NOT NULL LIMIT 100;" --json > output2.json
```

```shell script
$ fooddata query "SELECT * from food_nutrients_v WHERE food_type IS NOT NULL AND food_category IS NOT NULL LIMIT 1000;" --json | jq .
```

## Update Database

To update the database, just run the first command again:

```shell script
$ fooddata build
```

## Note

The data comes from the USDA website:
[https://fdc.nal.usda.gov/download-datasets.html](https://fdc.nal.usda.gov/download-datasets.html)
unusualvolume 0.1.2
Monitor stock market transactions for unusual volume and (possibly) make millions
License: MIT
Requires Python: >=3.8,<4.0

# unusualvolume

Monitor stock market transactions for unusual volume and (possibly) make millions.

## Demo

![](unusualvolume_demo.gif)

## About

A simple command line tool to retrieve stock market data (US-only) and analyze trading volumes for anomalies.

## Use Cases

1. Mining valuable trading information and getting ahead of possible large changes in stock prices
2. Transaction monitoring for OSINT (open source intelligence) purposes
3. Collecting data to train your own ML model


## Installation

```shell script
$ pip install unusualvolume --upgrade
```

## Usage

```shell script
$ unusualvolume scan
```