https://github.com/hay/dataknead

Effortless conversion between data formats like JSON, XML and CSV
https://github.com/hay/dataknead

csv data-analysis data-conversion json python python3

Last synced: 13 days ago
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Effortless conversion between data formats like JSON, XML and CSV

• Host: GitHub
• URL: https://github.com/hay/dataknead
• Owner: hay
• License: mit
• Created: 2018-02-12T00:32:01.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2022-05-16T18:01:53.000Z (over 2 years ago)
• Last Synced: 2024-12-18T22:08:21.244Z (21 days ago)
• Topics: csv, data-analysis, data-conversion, json, python, python3
• Language: Python
• Homepage: https://hay.github.io/dataknead/
• Size: 595 KB
• Stars: 121
• Watchers: 7
• Forks: 12
• Open Issues: 9
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

        
# dataknead

**Fluent conversion between data formats like JSON, XML and CSV**

[Read the docs](https://hay.github.io/dataknead/)

Ever sighed when you wrote code to convert CSV to JSON for the thousandth time?

```python

import csv

import json

data = []

with open("cities.csv") as f:

    reader = csv.DictReader(f)

    for row in reader:

        data.append(row)

with open("cities.json", "w") as f:

    json.dump(data, f)

```

Stop sighing and use `dataknead`. Fetch it with `pip`:

```bash

$ pip install dataknead

```

And use it like this:

```python

from dataknead import Knead

Knead("cities.csv").write("cities.json")

```

Or make it even easier on the command line:

```bash

knead cities.csv cities.json

```

`dataknead` has inbuilt loaders for CSV, Excel, JSON, TOML and XML and you can easily write your own.

Piqued your interest? [Read the docs!](https://hay.github.io/dataknead/).