river
pyinfra
river | pyinfra | |
---|---|---|
17 | 31 | |
4,775 | 3,330 | |
1.3% | 22.3% | |
9.1 | 9.0 | |
7 days ago | 1 day ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | 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.
river
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🔍Underrated Open Source Projects You Should Know About đź§
River is a Python library for online machine learning. Online machine learning can dynamically adapt to new patterns in the data, or when the data itself is generated as a function of time, e.g., stock price prediction, content personalization.
- Ask HN: What Underrated Open Source Project Deserves More Recognition?
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Unexpected Expected Thriller: A Tale of Coding Curiosity
Today, I'm going to take you on a thrilling coding adventure inspired by a LinkedIn code snippet, where I tangled with FastAPI, River, Watchdog, and Tenacity. Ready? Buckle up!
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Elevate Your Python Skills: Machine Learning Packages That Transformed My Journey as ML Engineer
Complimentary: river and skorch
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What are your favorite tools or components in the Kafka ecosystem?
River - https://github.com/online-ml/river (Online machine learning, best used with Bytewax for Kafka integration)
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Show HN: Want something better than k-means? Try BanditPAM
Hey, great work. Do you think this algorithm would be amenable to be done online? I'm the author of River (https://riverml.xyz) where we're looking for good online clustering algorithms.
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Python's “Disappointing” Superpowers
If you don't know Rust, but know Python, you can install Python libraries written in Rust with pip. Like, pip install polars or pip install robyn. In this case you follow the two bottom links. But then you don't write your own libraries and stuff so.. I guess that's not what you want.
But, if you want to learn Rust, you probably wouldn't start out with pyo3. You first install Rust with https://rustup.rs/ and then check out the official book, and the book rust by example, that you can find here https://www.rust-lang.org/learn - and maybe write some code on the Rust playground https://play.rust-lang.org/ - then, you use pyo3 to build Python libraries in Rust, and then use maturin https://www.maturin.rs/ to build and publish them to Pypi.
But if you still prefer to begin with Rust by writing Python libraries (it's a valid strategy if you are very comfortable with working with multiple stacks), the Maturin link has a tutorial that setups a program that is half written in python, half written in Rust, https://www.maturin.rs/tutorial.html (well the pyo3 link I sent also has one too. You should refer to the documentation of both, because you will use the two together)
After learning Rust, the next step is looking for libraries that you could leverage to make Python programs ultra fast. Here https://github.com/rayon-rs/rayon is an obvious choice, see some examples from the Rust cookbook https://rust-lang-nursery.github.io/rust-cookbook/concurrenc... - when you create a parallel iterator, it will distribute the processing to many threads (by default, one per core). The rust cookbook, by the way, is a nice reference to see the most used crates (Rust libraries) in the Rust ecosystem.
Anyway there are some posts about pyo3 on the web, like this blog post https://boring-guy.sh/posts/river-rust/ (note: it uses an outdated version of pyo3, and doesn't seem to use maturin which is a newer tool). This post was written by the developers of https://github.com/online-ml/river - another Python library written in Rust
- [D] Is it possible to update random forest parameters with new data instead of retraining on all data?
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If ChatGPT that could browse to the internet, what would you ask it to do?
Oh they definitely can be incrementally updated, there is just added complexity. Online learning has been used with more classical machine learning methods in real-time analytics for a while now. River is a library that handles that.
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[D] Good online learning-to-rank models
We have both bandits and FTRL implemented in River (https://riverml.xyz) if that helps.
pyinfra
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This Week In Python
pyinfra – automates infrastructure using Python
- Pyinfra: Automate Infrastructure Using Python
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Show HN: A new open-source automation tool as an alternative to Ansible/Salt
There is https://pyinfra.com/
As a sidenote, I also made a small experiment a while ago : https://github.com/linkdd/tricorder/
But it's a bit of a chicken-and-egg problem. Without users, I don't know how it should be used, without features I won't get any users. So for now, it's in a state of "I'll address bug reports and feature requests, but I won't actively develop it".
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Ask HN: What Underrated Open Source Project Deserves More Recognition?
I like https://github.com/pyinfra-dev/pyinfra. "pyinfra automates infrastructure using Python"
Only played with it for a little but it seems well designed an simpler alternative to ansible, chef and other such things.
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Interesting Uses of Ansible's ternary filter
Haven't used it in anger yet, but I have high hopes for PyInfra: https://github.com/pyinfra-dev/pyinfra
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How to manage multiple Wagtail sites from central point
pyinfra - https://pyinfra.com/ - Pyinfra is simpler for me than Ansible. I completed the entire deployment in one afternoon, from installing and configuring the VPS server from scratch to deploying the application and automatically restoring the database from a backup.
- Pyinfra: Pyinfra automates infrastructure super fast at scale
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How do you guys handle server automation?
I’ve replaced Ansible with PyInfra where ever possible. https://pyinfra.com/ is very clean, and fast but lacks the shear amount of automation that can be found with Ansible.
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What Ansible is capable to do that Python doesn't?
Some folks don't like YAML all that well, and I can understand where they are coming from. I wish Ansible provided a good Python API so that playbooks could be written in Python easier. But there is a project called PyInfra that is trying to do something similiar to Ansible, using Python as the configuration language. https://pyinfra.com/ It is still pretty new so not got nearly as many modules written for it yet.
- Pyinfra automates infrastructure super fast at scale
What are some alternatives?
alibi-detect - Algorithms for outlier, adversarial and drift detection
Ansible - Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
python-tidal - Python API for TIDAL music streaming service
Fabric - Simple, Pythonic remote execution and deployment.
wayfire - A modular and extensible wayland compositor
psutil - Cross-platform lib for process and system monitoring in Python
PySyft - Perform data science on data that remains in someone else's server
Docker Compose - Define and run multi-container applications with Docker
edl - Inofficial Qualcomm Firehose / Sahara / Streaming / Diag Tools :)
letsencrypt - Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server. It can also act as a client for any other CA that uses the ACME protocol.
makinage - Stream Processing Made Easy
SaltStack - Software to automate the management and configuration of any infrastructure or application at scale. Get access to the Salt software package repository here: