sea-query
polars
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sea-query | polars | |
---|---|---|
23 | 144 | |
979 | 25,298 | |
4.7% | 5.7% | |
9.1 | 10.0 | |
19 days ago | 6 days ago | |
Rust | Rust | |
GNU General Public License v3.0 or later | 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.
sea-query
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Hey Rustaceans! Got a question? Ask here (8/2023)!
The main limitation of prepared statement is that you can only insert values, so you cannot dynamically construct the query depending on the parameters. For that, you can use a query builder such as sea-query, which should handle that.
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What's new in SeaQuery 0.27.0
🎉 We are pleased to release SeaQuery 0.27.0! Here are some feature highlights 🌟:
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Using Rust as my Backend
SeaORM or SeaQuery are also very good instead of diesel/sqlx
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Celebrating 3,000+ GitHub Stars 🎉
SeaQL.org was founded back in 2020. We devoted ourselves into developing open source libraries that help Rust developers to build data intensive applications. In the past two years, we published and maintained four open source libraries: SeaQuery, SeaSchema, SeaORM and StarfishQL. Each library is designed to fill a niche in the Rust ecosystem, and they are made to play well with other Rust libraries.
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What's new in SeaORM 0.9.0
Upgrade sea-query to 0.26
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Introducing StarfishQL - visualizing the dependency network on crates.io
As the new member of the SeaQL family, it's a stellar example of what could be done with Rust and the SeaORM / SeaQuery / SeaSchema suite of tools. We couldn't be more excited to see applications being built on Rust and the SeaQL ecosystem!
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SeaORM in GSoC 2022
The first piece of tool we released is SeaQuery, a query builder with a fluent API. It has a simplified AST that reflects SQL syntax. It frees you from stitching strings together in case you needed to construct SQL dynamically and safely, with the advantages of Rust typings.
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An async & dynamic ORM for Rust!
Built upon SeaQuery, SeaORM allows you to build complex queries without 'fighting the ORM'.
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Rust and Sqlite
I wrote a first bridge for sea-query to diesel https://github.com/SeaQL/sea-query/discussions/168. With the indications of /u/weiznich I think I can make it better and probably it's own crate. Maybe even reduce the boilerplate by generating the Iden directly from the diesel schema.
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🎉 We are pleased to release SeaORM 0.6.0! Here are some feature highlights 🌟
Related Issue & PR - https://github.com/SeaQL/sea-orm/issues/499 - https://github.com/SeaQL/sea-query/pull/256
polars
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Polars
- handling of categoricals in polars seemed a little underbaked, though my main complaint, that categories cannot be pre-defined, seems to have been recently addressed: https://github.com/pola-rs/polars/issues/10705
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Stuff I Learned during Hanukkah of Data 2023
That turned out to be related to pola-rs/polars#11912, and this linked comment provided a deceptively simple solution - use PARSE_DECLTYPES when creating the connection:
- Segunda linguagem
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Summing columns in remote Parquet files using DuckDB
Looks like somebody requested it after reading your TIL. https://github.com/pola-rs/polars/issues/12493#issuecomment-...
It will be in the next release. (later today?)
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What are you rewriting in rust?
I am a maintainer for a dataframe interface called polars
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[Crowdsourcing] Is there any code you really wished used named function arguments?
For example with polars, the python library extensively uses named arguments, but in rust we have to use either a builder pattern or macros. The builder pattern tends to be much more verbose than the named argument equivalent. There is currently a draft PR implementing python style named arguments for some of the most common functions.
- Polars cookbook (Jupyter)
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Working with Rust
Seeing a lot of great libraries coming out with python bindings in the data world e.g delta-rs Polars. I see it growing in this space as a C++ alternative
What are some alternatives?
vaex - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
modin - Modin: Scale your Pandas workflows by changing a single line of code
arrow-datafusion - Apache Arrow DataFusion SQL Query Engine
DataFrames.jl - In-memory tabular data in Julia
datatable - A Python package for manipulating 2-dimensional tabular data structures
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
db-benchmark - reproducible benchmark of database-like ops
rust-numpy - PyO3-based Rust bindings of the NumPy C-API
sqlx - general purpose extensions to golang's database/sql
hdf5-rust - HDF5 for Rust
tidypolars - Tidy interface to polars
arrow2 - Transmute-free Rust library to work with the Arrow format