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https://github.com/pudo/dataset
Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.
https://github.com/pudo/dataset
database python sql
Last synced: 5 days ago
JSON representation
Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.
- Host: GitHub
- URL: https://github.com/pudo/dataset
- Owner: pudo
- License: mit
- Created: 2013-04-01T14:57:55.000Z (over 11 years ago)
- Default Branch: master
- Last Pushed: 2023-09-06T13:18:04.000Z (about 1 year ago)
- Last Synced: 2024-09-08T11:57:18.134Z (about 2 months ago)
- Topics: database, python, sql
- Language: Python
- Homepage: https://dataset.readthedocs.org/
- Size: 781 KB
- Stars: 4,753
- Watchers: 101
- Forks: 299
- Open Issues: 41
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Funding: .github/FUNDING.yml
- License: LICENSE.txt
Awesome Lists containing this project
- best-of-python - GitHub - 12% open · ⏱️ 12.07.2023): (Database Clients)
- awesome-starred - pudo/dataset - Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions. (database)
- awesome-list - dataset - Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions. (Data Management & Processing / Database & Cloud Management)
- starred-awesome - dataset - Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions. (Python)
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README
dataset: databases for lazy people
==================================![build](https://github.com/pudo/dataset/workflows/build/badge.svg)
In short, **dataset** makes reading and writing data in databases as simple as reading and writing JSON files.
[Read the docs](https://dataset.readthedocs.io/)
To install dataset, fetch it with ``pip``:
```bash
$ pip install dataset
```**Note:** as of version 1.0, **dataset** is split into two packages, with the
data export features now extracted into a stand-alone package, **datafreeze**.
See the relevant repository [here](https://github.com/pudo/datafreeze).