dbd
pgsync
Our great sponsors
| dbd | pgsync | |
|---|---|---|
| 4 | 1 | |
| 55 | 1,055 | |
| - | - | |
| 0.0 | 7.5 | |
| about 2 years ago | 13 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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.
dbd
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Easy loading Kaggle dataset to a database
I've created two examples of how to use the dbd tool to load Kaggle dataset data files (csv, json, xls, parquet) to your Postgres, MySQL, or SQLite database.Basically, you don't have to create any tables, nor run any SQL INSERT or COPY statements. Everything is automated. You just reference the datasets and files with a URL and execute a 'dbd run' command.The examples are here. Perhaps you find it useful. Let me know, what you think!
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Easy loading dataset files to a database
I've created two examples of how to use the [dbd](https://github.com/zsvoboda/dbd) tool to load Kaggle dataset data files (csv, json, xls, parquet) to your Postgres, MySQL, or SQLite database.
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dbd: create your database from data files on your directory
I work on the new open-sourced tool called dbd that enables you to load data from your local data files to your database and transform it using insert-from-select statements. The tool supports templating (Jinja2). It works with Postgres, MySQL, SQLite, Snowflake, Redshift, and BigQuery.
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New opensource ELT tool
I was looking for some declarative ELT tool for creating my analytics solutions, and DBT was the closest I've found. I liked its concept, but I came across quite a few limitations when I wanted to use it. I couldn't specify and create basic things like data types, indexes, primary/foreign keys, etc. In the end, I decided to implement my own - more straightforward and more flexible. I've published the result - dbd on GitHub. Perhaps, you can find it helpful. Your feedback is greatly appreciated!
pgsync
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Improving Postgres Text Search Speed 7x on Millions of Records
PGSync might be useful for those who don't mind also running Elasticsearch
https://github.com/toluaina/pgsync
What are some alternatives?
Skytrax-Data-Warehouse - A full data warehouse infrastructure with ETL pipelines running inside docker on Apache Airflow for data orchestration, AWS Redshift for cloud data warehouse and Metabase to serve the needs of data visualizations such as analytical dashboards.
cheatsheets - My Cheatsheet Repository
ethereum-etl - Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ
retake - PostgreSQL for Search [Moved to: https://github.com/paradedb/paradedb]
data-toolset - Upgrade from avro-tools and parquet-tools jars to a more user-friendly Python package.
usaspending-api - Server application to serve U.S. federal spending data via a RESTful API
api - Moved to https://github.com/covid19india/data/
django-multiple-schemas - Sample project that describes how you can handle schema within your Django application.
sqlmesh - Efficient data transformation and modeling framework that is backwards compatible with dbt.
zeek2es - A Python application to filter and transfer Zeek logs to Elastic/OpenSearch+Humio. This app can also output pure JSON logs to stdout for further processing!
pydwt - Modeling tool like DBT to use SQL Alchemy core with a DataFrame interface like
demo-opensearch-python - This repository contains code example in how to write search queries with OpenSearch Python client