cyclone
datafusion-ballista
cyclone | datafusion-ballista | |
---|---|---|
8 | 12 | |
812 | 1,308 | |
- | 6.0% | |
8.5 | 8.2 | |
23 days ago | 5 days ago | |
Scheme | Rust | |
MIT License | 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.
cyclone
- Rust vs. Go in 2023
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Best implementation for standalone + browser executable?
Wow, thanks a lot! I hit a snag running cyclone's repl on a M1 Mac, but found the fix here: https://github.com/justinethier/cyclone/issues/464
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How to Detect a Cycle in a Linked List
When developing Cyclone Scheme I discovered the latest R7RS Scheme language specification requires that several procedures handle circular lists.
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Which Scheme for compiling C to use in WASM?
Cyclone Scheme transpiles to C and can run in the browser using WASM.
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Tail Call Optimization by Base Jumping off the Stack
Over the years various solutions have been developed to meet this requirement such as trampolines, goto's, compiler optimizations, etc. One of the most unusual was proposed by Henry Baker in his paper CONS Should Not CONS Its Arguments, Part II: Cheney on the M.T.A. (PDF).
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Oldest Scheme Implementations
And its successor, Cyclone, began in 2014, and is actively developed.
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If you had to pick a Scheme to write a standalone application which would you choose?
Gambit, and consequently Gerbil, are not very mature and still need a bit more of a environment. Stklos could also be interesting, as well as Cyclone.
- Cyclone Scheme: A R7RS Scheme Compiler
datafusion-ballista
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Polars
Not super on topic because this is all immature and not integrated with one another yet, but there is a scaled-out rust data-frames-on-arrow implementation called ballista that could maybe? form the backend of a polars scale out approach: https://github.com/apache/arrow-ballista
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Rust vs. Go in 2023
> Is Rust's compile-time GC about something other than performance somehow?
AFAIK, memory safety and language features as RAII is also available in C++, for instance. About the reasons for slow compilation, take a look at https://www.reddit.com/r/rust/comments/xna9mb/why_are_rust_p...
Not having a GC is also about not having a runtime as you mention (e.g. nice for creating Python extensions and embedded systems programming) and also more runtime deterministic performance: on that, if I'm not mistaken that was the reason for Discourse switching to Rust and also, e.g.: "the choice of Rust as the main execution language avoids the overhead of GC pauses and results in deterministic processing times" https://github.com/apache/arrow-ballista/blob/main/README.md
- Ballista (Rust) vs Apache Spark. A Tale of Woe.
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Evolution and Trends of Data Engineering 2022/23
Ballista (Arrow-Rust), which is largely inspired by Apache Spark, there are some interesting differences.
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Data Engineering with Rust
https://github.com/jorgecarleitao/arrow2 https://github.com/apache/arrow-datafusion https://github.com/apache/arrow-ballista https://github.com/pola-rs/polars https://github.com/duckdb/duckdb
- Any job processing framework like Spark but in Rust?
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Is Apache Arrow DataFusion and Ballista the future of big data engineering/science?
Source: https://github.com/apache/arrow-ballista
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Pure Python Distributed SQL Engine
Can you explain how this might differ from something like https://github.com/apache/arrow-ballista
I've seen several variants of "next-gen" spark, but nowhere have I really seen the different tradeoffs/advantages/disadvantages between them.
- Scala or Rust? which one will rule in future?
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Welcome to Comprehensive Rust
Rust has amazing integration with Python through PyO3 [1] so see it like a safe alternative for high performance calculations. The ecosystem itself is starting to come together exciting projects like Polars [2] (Pandas alternative), nalgebra [3], Datafusion [4] and Ballista [5]
[1] https://github.com/PyO3/pyo3
[2] https://github.com/pola-rs/polars/
[3] https://docs.rs/nalgebra/latest/nalgebra/
[4] https://github.com/apache/arrow-datafusion
[5] https://github.com/apache/arrow-ballista
What are some alternatives?
hy - A dialect of Lisp that's embedded in Python
duckdb - DuckDB is an in-process SQL OLAP Database Management System
cli-command - cli-command template
lance - Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..
r6rs-pffi - Portable Foreign Function Interface (FFI) for R6RS
seafowl - Analytical database for data-driven Web applications 🪶
r7expander - R7RS expander
connector-x - Fastest library to load data from DB to DataFrames in Rust and Python
7GUI - the 7 gui project
opteryx - 🦖 A SQL-on-everything Query Engine you can execute over multiple databases and file formats. Query your data, where it lives.
guile-json - JSON module for Guile
sqlglot - Python SQL Parser and Transpiler