csv2clickhouse
ibis
Our great sponsors
| csv2clickhouse | ibis | |
|---|---|---|
| 1 | 23 | |
| 4 | 4,208 | |
| - | 10.9% | |
| 5.0 | 10.0 | |
| about 1 year ago | 3 days ago | |
| Python | Python | |
| - | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
csv2clickhouse
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Fast way to upload several CSV files -> ClickHouse with create a database and tables
This is how this script was born, which I want to share. I hope it saves you some time, and it will give me the opportunity to receive a couple of feedbacks and ideas from you for improvement.
ibis
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Show HN: Hashquery, a Python library for defining reusable analysis
I really don't understand the appeal of dbt vs a proper programming language. The templating approach leads to massive spaghetti. I look forward to trying out something like Ibis [0]
0: https://ibis-project.org/
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This Week In Python
ibis – portable Python dataframe library
- Ibis: The portable Python dataframe library
- FLaNK Stack 26 February 2024
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Quarto
The main benefit is that you get a Python (or R, Julia or Rust) interpreter. So you can evaluate code. A good example of the value of this is the Ibis docs which use Quarto: https://ibis-project.org/
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Polars – A bird's eye view of Polars
Ive found polars quite intuitive, though for python, I lean more towards [ibis](https://ibis-project.org/). The interface is nearly identical, but ibis has the benefit if building sql queries before pulling any actual data (like dbplyr) — whereas polars requires the data to be in-memory (at least for rdb’s, though correct me if Im wrong)
this to me seems like a good argument for only using ibis, but Im happy to be convinced otherwise
- Ibis – Universal Interface for Data Wrangling
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Vanna.ai: Chat with your SQL database
Please add Ibis Birdbrain https://ibis-project.github.io/ibis-birdbrain/ to the list. Birdbrain is an AI-powered data bot, built on Ibis and Marvin, supporting more than 18 database backends.
See https://github.com/ibis-project/ibis and https://ibis-project.org for more details.
- Ibis
What are some alternatives?
clickhouse-driver - ClickHouse Python Driver with native interface support
snowflake-connector-python - Snowflake Connector for Python
dbt-clickhouse - The Clickhouse plugin for dbt (data build tool)
PySpark-Boilerplate - A boilerplate for writing PySpark Jobs
django-clickhouse - This project's goal is to build Yandex ClickHouse database into Django project.
Apache Impala - Apache Impala
sqlglot - Python SQL Parser and Transpiler
pangres - SQL upsert using pandas DataFrames for PostgreSQL, SQlite and MySQL with extra features
jupysql - Better SQL in Jupyter. 📊
sqlite_scanner - DuckDB extension to read and write to SQLite databases
katacoda
nodejs-polars - nodejs front-end of polars