ExcelToDatabase
dbd
Our great sponsors
| ExcelToDatabase | dbd | |
|---|---|---|
| 2 | 4 | |
| 46 | 55 | |
| - | - | |
| 7.7 | 0.0 | |
| 2 days ago | about 2 years ago | |
| Python | Python | |
| MIT License | BSD 3-clause "New" or "Revised" 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.
ExcelToDatabase
-
Merging data from multiple Excel files
ExcelToDatabase - Automation tool for batch importing Excel files into MySQL/Oracle/SQL Server/PostgreSQL/Access/Hive/SQLite/Dameng database
-
ExcelToDatabase: batch import excel files into database
The source code on the Github.
dbd
-
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!
-
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.
-
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.
-
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!
What are some alternatives?
mssql-cli - A command-line client for SQL Server with auto-completion and syntax highlighting
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.
sqlglot - Python SQL Parser and Transpiler
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
pgsync - Postgres to Elasticsearch/OpenSearch sync
data-toolset - Upgrade from avro-tools and parquet-tools jars to a more user-friendly Python package.
api - Moved to https://github.com/covid19india/data/
sqlmesh - Efficient data transformation and modeling framework that is backwards compatible with dbt.
pydwt - Modeling tool like DBT to use SQL Alchemy core with a DataFrame interface like
tbls - tbls is a CI-Friendly tool for document a database, written in Go.
QuickSQLConnector - SQL in one line
canmatrix - Converting Can (Controller Area Network) Database Formats .arxml .dbc .dbf .kcd ...