fugue
sqlx
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fugue | sqlx | |
---|---|---|
11 | 144 | |
1,876 | 11,822 | |
2.3% | 4.0% | |
6.7 | 9.2 | |
7 days ago | about 9 hours ago | |
Python | Rust | |
Apache License 2.0 | Apache License 2.0 |
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.
sqlx
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Rust as a general application language
What exactly are you missing? I haven't really written "boring corporate backend stuff" in a few years but something like sqlx provides everything I've ever needed there.
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Hey Rustaceans! Got a question? Ask here (49/2023)!
Badges are the little rectangles you typically see at the top of a crate's README: https://github.com/launchbadge/sqlx/blob/main/README.md
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A new F# compiler feature: graph-based type-checking
SQLX has entered the chat [1].
[1] https://github.com/launchbadge/sqlx
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Grimoire - A recipe management application.
Database : SqLite (using sqlx).
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SQLX MSSQL Connection String Problem
The current (well, removed) MSSQL sqlx driver also doesn't support encrypted connections (https://github.com/launchbadge/sqlx/issues/1552), so it might work locally on an unnamed instance but not over the network until they add in the newer driver (which will be closed source but for an OSS project you should be able to request a free license I think)
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Introducing SQLPage : write websites entirely in SQL
I'm considering making my own wrapper over lower-level database drivers. There are a lot of features in sqlx that I don't need, and the latest version seems to have removed useful data structures that SQLPage is using. It also removed support for SQL Server.
- SQLx 0.7 released! Offline mode usability improvements, performance fixes and major upgrades across the board!
- Is ORM still an anti-pattern?
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MariaDB / SQLx - "Unknown Authentication Plugin"
add Ed25519 to AuthPlugin enum on https://github.com/launchbadge/sqlx/blob/061fdcabd72896d9bc3abb4ea4af6712a04bc0a8/sqlx-core/src/mysql/connection/auth.rs and implement them using these crates:
- PHP to Golang
What are some alternatives?
modin - Modin: Scale your Pandas workflows by changing a single line of code
diesel - A safe, extensible ORM and Query Builder for Rust
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.
sea-orm - 🐚 An async & dynamic ORM for Rust
Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
tokio - A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
mlToolKits - learningOrchestra is a distributed Machine Learning integration tool that facilitates and streamlines iterative processes in a Data Science project.
rust-postgres - Native PostgreSQL driver for the Rust programming language
xarray - N-D labeled arrays and datasets in Python
rbatis - Rust Compile Time ORM robustness,async, pure Rust Dynamic SQL
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
actix-web - Actix Web is a powerful, pragmatic, and extremely fast web framework for Rust.