cleora
PyO3
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cleora | PyO3 | |
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8 | 147 | |
472 | 10,997 | |
0.6% | 4.4% | |
2.4 | 9.8 | |
6 months ago | 5 days ago | |
Jupyter Notebook | Rust | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
cleora
- Cleora - an ultra fast graph embedding tool written in Rust
- Cleora.ai - open source general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data - new updates
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[R] Cleora: A Simple, Strong and Scalable Graph Embedding Scheme
Our team at Synerise AI has open sourced Cleora - an ultra fast vertex embedding tool for graphs & hypergraphs. If you've ever used node2vec, DeepWalk, LINE or similar methods - it might be worth to check it out.
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[R] Cleora - the fastest graph & hypergraph node embedding tool
A few weeks ago, our team at Synerise AI has open sourced Cleora - an ultra fast vertex embedding tool for graphs & hypergraphs. It is a tool, which can ingest any categorical, relational data and turn it into vector embeddings of entities. It is extremely fast, while offering very competitive quality of results. In fact, it may be the fastest hypergraph embedding tool possible in practice, without intentionally discarding/reducing input data.
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[D] Why I'm Lukewarm on Graph Neural Networks
Thanks for raising so many interesting points about model performance and complexity. In this context, I think our newly released graph embedding library - Cleora - might be of interest: https://github.com/Synerise/cleora Cleora has some nice performance-wise properties:
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Rusticles #20 - Wed Nov 18 2020
Synerise/cleora (Rust): Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
PyO3
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Encapsulation in Rust and Python
Integrating Rust into Python, Edward Wright, 2021-04-12 Examples for making rustpython run actual python code Calling Rust from Python using PyO3 Writing Python inside your Rust code — Part 1, 2020-04-17 RustPython, RustPython Rust for Python developers: Using Rust to optimize your Python code PyO3 (Rust bindings for Python) Musing About Pythonic Design Patterns In Rust, Teddy Rendahl, 2023-07-14
- Rust Bindings for the Python Interpreter
- Polars – A bird's eye view of Polars
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In Rust for Python: A Match from Heaven
This story unfolds as a captivating journey where the agile Flounder, representing the Python programming language, navigates the vast seas of coding under the wise guidance of Sebastian, symbolizing Rust. Central to their adventure are three powerful tridents: cargo, PyO3, and maturin.
- Segunda linguagem
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Calling Rust from Python
I would not recommend FFI + ctypes. Maintaining the bindings is tedious and error-prone. Also, Rust FFI/unsafe can be tricky even for experienced Rust devs.
Instead PyO3 [1] lets you "write a native Python module in Rust", and it works great. A much better choice IMO.
[1] https://github.com/PyO3/pyo3
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Python 3.12
Same w/ Rust and Python, this is really neat because now each thread could have a GIL without doing exactly what you said. The pyO3 commit to allow subinterpreters was merged 21 days ago, so this might "just work" today: https://github.com/PyO3/pyo3/pull/3446
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Removing Garbage Collection from the Rust Language (2013)
I expected someone to write a rust-based scripting language which tightly integrated with rust itself.
In reality, it seems like the python developers and toolchain are embracing rust enough to reduce the benefits to a new alternative.
https://github.com/PyO3/pyo3
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Bytewax: Stream processing library built using Python and Rust
Hey HN! I am one of the people working on Bytewax. Bytewax came out of our experience working with ML infrastructure at GitHub. We wanted to use Python because we could move fast, the team was very fluent in it, and the rest of our tooling was Python-native already. We didn't want to introduce JVM-based solutions into our stack because of the lack of experience and the friction we had trying to get Python-centric tooling working with existing solutions like Flink.
In our research, we found Timely Dataflow (https://timelydataflow.github.io/timely-dataflow/, https://news.ycombinator.com/item?id=24837031) and the Naiad project (https://www.microsoft.com/en-us/research/project/naiad/) as well as PyO3 (https://github.com/PyO3/pyo3) and we thought we found a match made in heaven :). Bytewax leverages both of these projects and builds on them to provide a clean API (at least we think so) and table stakes features like connectors, state recovery, and cloud-native scaling. It has been really cool to learn about the dataflow computation model, Rust, and how to wrangle the GIL with Rust and Python :P.
Would love to get your feedback :).
`pip install bytewax` to get started. We have a page of guides (https://www.bytewax.io/guides) with ready-to-run examples.
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Tell HN: Rust Is the Superglue
You can practice your Rust skills by writing performant and/or gluey extensions for higher-level language such as NodeJS (checkout napi-rs) and Python or complementing JS in the browser if you target Webassembly.
For instance, checkout Llama-node https://github.com/Atome-FE/llama-node for an involved Rust-based NodeJS extension. Python has PyO3, a Rust-Python extension toolset: https://github.com/PyO3/pyo3.
They can help you leverage your Rust for writing cool new stuff.
What are some alternatives?
i3status-rust - Very resourcefriendly and feature-rich replacement for i3status, written in pure Rust
rust-cpython - Rust <-> Python bindings
Owlyshield - Owlyshield is an EDR framework designed to safeguard vulnerable applications from potential exploitation (C&C, exfiltration and impact).
pybind11 - Seamless operability between C++11 and Python
node2vec-c - node2vec implementation in C++
RustPython - A Python Interpreter written in Rust
textsynth - A (unofficial) Rust wrapper for the TextSynth API.
milksnake - A setuptools/wheel/cffi extension to embed a binary data in wheels
finalfusion-rust - finalfusion embeddings in Rust
bincode - A binary encoder / decoder implementation in Rust.
GEM
uniffi-rs - a multi-language bindings generator for rust