dataset vs clickhouse-driver

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dataset		clickhouse-driver
	Project
1	Mentions	-
4,720	Stars	1,164
-	Growth	2.2%
4.6	Activity	7.3
8 months ago	Latest Commit	5 days ago
Python	Language	Python
MIT License	License	GNU General Public License v3.0 or later

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

dataset

Posts with mentions or reviews of dataset. We have used some of these posts to build our list of alternatives and similar projects.

What's the best process for scraping w/ the process of: Webpage -> List of Items -> Scrape Each Item Page
1 project | /r/webscraping | 31 Jan 2023

I use the package 'dataset' (https://github.com/pudo/dataset), which lets you write a list of dictionaries as a database table. Easy peasy. :)

clickhouse-driver

Posts with mentions or reviews of clickhouse-driver. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning clickhouse-driver yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing dataset and clickhouse-driver you can also consider the following projects:

pymssql - Official home for the pymssql source code.

psycopg2 - PostgreSQL database adapter for the Python programming language

apsw - Another Python SQLite wrapper

asyncpg - A fast PostgreSQL Database Client Library for Python/asyncio.

SuperSQLite - A supercharged SQLite library for Python

awesome-mysql - A curated list of awesome MySQL software, libraries, tools and resources

jaydebeapi - JayDeBeApi module allows you to connect from Python code to databases using Java JDBC. It provides a Python DB-API v2.0 to that database.