| Name | Version | Summary | date |
| PyCyphORM |
0.1.3 |
A Minimalistic SQLite InMemory Encrypted ORM |
2023-06-03 02:12:23 |
| prisma-pynext |
0.8.13 |
Prisma Client Python is an auto-generated and fully type-safe database client |
2023-06-02 08:21:33 |
| sqlalchemy-libsql |
0.1.0 |
LibSQL.org for SQLAlchemy |
2023-05-25 16:26:05 |
| simply-sqlite |
0.1.16 |
A simplified version of SQLite3 |
2023-05-24 19:27:33 |
| lazy-alchemy |
1.0.3 |
Lazy-Alchemy is a Python package that loads the DB models lazily. |
2023-05-18 09:11:09 |
| sql-smith |
1.1.1 |
sql-smith is an SQL query builder with zero dependencies and a fluent interface. |
2023-05-15 15:24:50 |
| Kvsqlite |
0.2.1 |
Easy-to-use synchronous/asynchronous key-value database backed by sqlite3. |
2023-05-14 12:30:05 |
| duck-orm |
1.0.2 |
ORM Async for Python |
2023-05-13 18:37:52 |
| a-pandas-ex-read-sql |
0.11 |
Convert any SQL Database to a Pandas DataFrame |
2023-05-13 18:15:37 |
| pref |
0.2.0 |
persistent preferences store to local sqlite |
2023-04-28 05:44:17 |
| easqlite |
1.1.0 |
An executor-based async sqlite wrapper |
2023-04-27 22:35:27 |
| army-db |
0.0.1 |
Python database manager |
2023-04-24 23:22:32 |
| SQLAlchemy-Catalyst |
0.1 |
Collection of methods for base SQLAlchemy classes |
2023-04-17 21:03:06 |
| sqint |
0.1a1 |
Example package description |
2023-04-06 03:20:04 |
| xtab |
1.1.0 |
Crosstabulates data in a text file. |
2023-04-01 18:22:47 |
| csv-sqlite-converter |
0.0.1 |
A convenient tool for transferring files between SQLite database and csv files and vice versa. |
2023-03-26 07:24:34 |
| pylitedb |
1.0.5 |
Very Simple helper classes for managing sqlite databases |
2023-03-19 16:21:55 |
| apple-news-to-sqlite |
0.5.2 |
Export "Saved Stories" from Apple News to SQLite |
2023-03-16 04:29:57 |
| surfy |
1.0.1 |
This repository contains all the libraries for successful working with Surfy Ecosystem in a Python environment. |
2023-02-11 05:17:52 |
| PandaSQLite |
1.0.post1 |
PandaSQLite is a lightweight library that combines the power of SQLite databases with the ease of use of Python numerical libraries like pandas, numpy, scipy, etc. |
2023-02-10 08:44:56 |