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PyO3 Alternatives
Similar projects and alternatives to PyO3
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maturin
Build and publish crates with pyo3, rust-cpython and cffi bindings as well as rust binaries as python packages
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SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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surrealdb
A scalable, distributed, collaborative, document-graph database, for the realtime web
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Rustlings
:crab: Small exercises to get you used to reading and writing Rust code!
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polars
Fast multi-threaded, hybrid-out-of-core DataFrame library in Rust | Python | Node.js
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better PyO3 alternative or higher similarity.
PyO3 reviews and mentions
Posts with mentions or reviews of PyO3.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-01.
- Python's “Disappointing” Superpowers
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Am I dumb in thinking I can use Rust as a Fast Python and leave it at that?
Just in case you haven't heard of PyO3, here's a link to their GitHub. Very cool and useful project for mixing rust and python
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Robyn – one of the fastest Python Web framework's – plans for 2023
Hey @alanwreath , we are using something called PyO3 - https://pyo3.rs/
- Run python scripts before compilation using Cargo?
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Numba: A High Performance Python Compiler
As a side note, now it is easy to write Rust code, which can be directly used in Python - https://github.com/PyO3/pyo3.
It cannot use NumPy and other libraries (since it is Rust), but at the same time, I see its potential in creating high-performance code to be used in Python numerical environment.
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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/
Rust has the upper hand for incrementally replacing Python modules. With PyO3[0], you can seamlessly replace existing Python code with native extensions written in Rust.
If your use case is to replace entire tools, and your team isn't familiar with static languages, then Go is probably the better option. There's no denying that it's much easier to learn.
[0] https://pyo3.rs/
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What language to move to from python to speed up algo?
I wouldn't recommend using Rust for ML (at least not as a full Python replacement). Rust is a strong contender for ML deployments using some DL runtime library like ONNX. Using a combination of Python and Rust may be the safest bet now. Rust offers a very good Python interface https://github.com/PyO3/pyo3 too.
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Is the statement true, that Python and its ecosystem lacks speed for mission-critical large-scale applications?
Rust: https://github.com/PyO3/pyo3
Why not both? Rust bindings for the Python interpreter
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A note from our sponsor - InfluxDB
www.influxdata.com | 2 Feb 2023
Stats
Basic PyO3 repo stats
104
7,462
9.6
2 days ago
PyO3/pyo3 is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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