shillelagh
q
shillelagh | q | |
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7 | 46 | |
354 | 10,126 | |
- | - | |
8.0 | 2.1 | |
6 days ago | 13 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 only |
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shillelagh
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Apache Superset
It should be possible (have not tried myself):
https://preset.io/blog/accessing-apis-with-superset/
"Shillelagh (ʃɪˈleɪlɪ) is a Python library and CLI that allows you to query many resources (APIs, files, in memory objects) using SQL. It's both user and developer friendly, making it trivial to access resources and easy to add support for new ones"
https://github.com/betodealmeida/shillelagh
- Python: Making it easy to query APIs via SQL (Shillelagh)
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Need inspo
Shillelagh (https://github.com/betodealmeida/shillelagh) is a wrapper that allows users to query APIs using SQL. You can join weather data with a Google spreadsheet, for example. It always need more help in adding adapters for new data sources.
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A library for querying APIs and files using SQL
You can read more about it in the architecture document.
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Easy way of copying web data to excel.
I'm adding this to Apache Superset today!
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ELIA5: Spark/Hive syntactical SQL
- Shillelagh (https://github.com/betodealmeida/shillelagh): query API's .. using SQL!
q
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I wrote this iCalendar (.ics) command-line utility to turn common calendar exports into more broadly compatible CSV files.
CSV utilities (still haven't pick a favorite one...): https://github.com/harelba/q https://github.com/BurntSushi/xsv https://github.com/wireservice/csvkit https://github.com/johnkerl/miller
- Segítség kérés Excel automatizáláshoz
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Show HN: ClickHouse-local – a small tool for serverless data analytics
I think they're talking about https://github.com/harelba/q, which is not very fast.
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sqly - execute SQL against CSV / JSON with shell
Apparently, there were many who thought the same thing; Tools to execute SQL against CSV were trdsql, q, csvq, TextQL. They were highly functional, hoewver, had many options and no input completion. I found it just a little difficult to use.
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Q – Run SQL Directly on CSV or TSV Files
Hi, author of q here.
Regarding the error you got, q currently does not autodetect headers, so you'd need to add -H as a flag in order to use the "country" column name. You're absolutely correct on failing-fast here - It's a bug which i'll fix.
In general regarding speed - q supports automatic caching of the CSV files (through the "-C readwrite" flag). Once it's activated, it will write the data into another file (with a .qsql extension), and will use it automatically in further queries in order to speed things considerably.
Effectively, the .qsql files are regular sqlite3 files (with some metadata), and q can be used to query them directly (or any regular sqlite3 file), including the ability to seamlessly join between multiple sqlite3 files.
http://harelba.github.io/q/#auto-caching-examples
- PostgreSQL alternative for Large amounts of data
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q VS trdsql - a user suggested alternative
2 projects | 25 Jun 2022
- One-liner for running queries against CSV files with SQLite
What are some alternatives?
superset - Apache Superset is a Data Visualization and Data Exploration Platform
textql - Execute SQL against structured text like CSV or TSV
PyAthena - PyAthena is a Python DB API 2.0 (PEP 249) client for Amazon Athena.
csvq - SQL-like query language for csv
sqlalchemy-filters-plus - Lightweight library for providing filtering mechanism for your APIs using SQLAlchemy
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
pyodbc - Python ODBC bridge
InquirerPy - :snake: Python port of Inquirer.js (A collection of common interactive command-line user interfaces)
fastapi-crudrouter - A dynamic FastAPI router that automatically creates CRUD routes for your models
xsv - A fast CSV command line toolkit written in Rust.
PyHive - Python interface to Hive and Presto. 🐝
ledger - Double-entry accounting system with a command-line reporting interface