fugue
sqlfluff
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| fugue | sqlfluff | |
|---|---|---|
| 11 | 35 | |
| 1,876 | 7,199 | |
| 2.3% | 2.1% | |
| 6.7 | 9.6 | |
| 7 days ago | 7 days ago | |
| Python | Python | |
| Apache License 2.0 | 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.
fugue
- FLaNK Stack Weekly 22 January 2024
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Daft: A High-Performance Distributed Dataframe Library for Multimodal Data
Please integrate it with Fugue.
https://github.com/fugue-project/fugue
- Fugue: A unified interface for distributed computing
- [Discussion] Open Source beats Google's AutoML for Time series
- Ask HN: How do you test SQL?
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Replacing Pandas with Polars. A Practical Guide
Fugue is an interesting library in this space , though I haven’t tried it
https://github.com/fugue-project/fugue
A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark, Dask and Ray without any rewrites.
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The hand-picked selection of the best Python libraries and tools of 2022
fugue — distributed computing done easy
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[P] Open data transformations in Python, no SQL required
This looks similar to fugue, am I right? How do they compare?
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What the Duck?!
I am looking forward to how Substrait could help removing this friction. It aims to provide a standardised intermediate query language (lower level than SQL) to connect frontend user interfaces like SQL or data frame libraries with backend analytical computing engines. It is linked to the Arrow ecosystem. Something like Ibis or Fugue could become the front and DuckDB the backend engine.
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Pyspark now provides a native Pandas API
There's dask-sql, but I think it is being abandoned for fugue-project. I'm actually excited for this project as it is trying to provide a backend agnostic solution, which would seem like a difficult, lofty goal. I wish them luck.
sqlfluff
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🐍🐍 23 issues to grow yourself as an exceptional open-source Python expert 🧑💻 🥇
Repo : https://github.com/sqlfluff/sqlfluff
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SQL Reserved Words – The Empirical List
I'm surprised sqlfluff hasn't been mentioned yet. Perhaps not a comprehensive list, but it's worked for everything I've thrown at it. There's an ANSI keyword list [0], and then dialect-specific lists for everything from DB2 [1] to Snowflake [2].
[0]: https://github.com/sqlfluff/sqlfluff/blob/main/src/sqlfluff/...
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Show HN: Postgres Language Server
It has tons of annoying quirks, but I couldn't imagine running a DBT project without it: https://github.com/sqlfluff/sqlfluff
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Front page news headline scraping data engineering project
Move SQL queries to sql files and read from files (Use sqlfluff to lint the code https://github.com/sqlfluff/sqlfluff)
- Anything like SQLFluff written in Rust?
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Code autoformatter for SQL in VSCode that plays nicely with dbt
SQLFluff is a good CLI tool for this and includes support for jinja and dbt. I don't think there's a VSCode plugin for it yet.
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Ask HN: How do you test SQL?
This linter can really enforce some best practices https://github.com/sqlfluff/sqlfluff
A list of best practices:
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What is something you would learn at college but not a bootcamp (hard skills)
BigQuery SQL and SQLFluff
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Is the knowledge on how Compilers work applicable to the role of a Data Engineer?
There's a SQL parser/linter called SQLFluff that my team uses for our CI/CD. I've made a few pull requests to fix the parser for the particular SQL dialect we used, and my college compiler classes definitely helped.
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sqlfluff VS ANTLR - a user suggested alternative
2 projects | 12 Dec 2022
What are some alternatives?
modin - Modin: Scale your Pandas workflows by changing a single line of code
vscode-sqlfluff - An extension to use the sqlfluff linter in vscode.
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
sqlparse - A non-validating SQL parser module for Python
Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
dbt-utils - Utility functions for dbt projects.
mlToolKits - learningOrchestra is a distributed Machine Learning integration tool that facilitates and streamlines iterative processes in a Data Science project.
ale - Check syntax in Vim/Neovim asynchronously and fix files, with Language Server Protocol (LSP) support
xarray - N-D labeled arrays and datasets in Python
soda-sql - Data profiling, testing, and monitoring for SQL accessible data.
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Metabase - The simplest, fastest way to get business intelligence and analytics to everyone in your company :yum: