Using Polars in Rust for high-performance data analysis

1. axum

   1 158 20,015 9.5 Rust

   Ergonomic and modular web framework built with Tokio, Tower, and Hyper

   

   We’ll use Axum with Tokio to build a web backend, Tracing for logging, and Serde for serialization and deserialization.

2. SaaSHub

   www.saashub.com featured

   SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

   

3. tracing

   2 55 5,639 7.6 Rust

   Application level tracing for Rust.

   

   We’ll use Axum with Tokio to build a web backend, Tracing for logging, and Serde for serialization and deserialization.

4. rust-polars-example

   3 1 1 3.7 Rust

   A basic example of using polars to build a data analysis pipeline exposed via REST in Rust

   You can find the full code for this example on GitHub (this doesn’t include the data files — you’ll have to fetch them on your own from the links mentioned below).

5. tokio

   4 212 27,689 9.5 Rust

   A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...

   

   We’ll use Axum with Tokio to build a web backend, Tracing for logging, and Serde for serialization and deserialization.

6. serde

   5 196 9,370 9.2 Rust

   Serialization framework for Rust

   

   We’ll use Axum with Tokio to build a web backend, Tracing for logging, and Serde for serialization and deserialization.

7. Pandas

   6 416 44,267 9.9 Python

   Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

   

   One of the main selling points of Polars over similar solutions such as Pandas is performance. Polars is written in highly optimized Rust and uses the Apache Arrow container format.

8. polars

   7 149 31,328 10.0 Rust

   Dataframes powered by a multithreaded, vectorized query engine, written in Rust

   

   If you want to get into Polars, the library is very well documented, and I’d recommend you check out their getting started tutorial, their API docs, and when you’re all set up, you can also check out their Cookbooks to learn about many of the standard operations within Polars.

9. libcurl

   8 325 36,523 10.0 C

   A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP, SMTPS, TELNET, TFTP, WS and WSS. libcurl offers a myriad of powerful features

   

   We’ll start the server using the RUST_LOG=info cargo run command and send requests to it using curl.

10. Apache Arrow

    9 83 14,854 9.9 C++

    Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics

    

    One of the main selling points of Polars over similar solutions such as Pandas is performance. Polars is written in highly optimized Rust and uses the Apache Arrow container format.

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