river
paperless-ngx
river | paperless-ngx | |
---|---|---|
17 | 212 | |
4,775 | 16,882 | |
1.3% | 3.8% | |
9.1 | 9.9 | |
7 days ago | 4 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 only |
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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šUnderrated Open Source Projects You Should Know About š§
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 āDisappointingā 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.
paperless-ngx
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I accidentally built a meme search engine
I steered a friend towards Paperless (and away from an LLM solution) as a way of searching/accessing GBs of architectural PDFs recently - so far, itās apparently working well for them.
https://github.com/paperless-ngx/paperless-ngx
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šUnderrated Open Source Projects You Should Know About š§
Paperless-ngx is a document management system that transforms your physical documents into a searchable online archive so you can find your physical documents easier. With features such as tags, full text search, multi-user permissions system, this is a dream for those who like to keep an organized folder of files and documents.
- Paperless-Ngx
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Home Lab Guide
Since last year Iāve been configuring and maintaining my homelab setup and it is just amazing.
Iāve learned so much about containers, virtual machines and networking. Some of the self hosted applications like paperless-ngx [1] and immich [2] are much superior in terms of features than the proprietary cloud solutions.
With the addition of VPN services like tailscale [3] now I can access my homelab from anywhere in the world.
The only thing missing is to setup a low powered machine like NUC or any mini PC so I can offload the services I need 24/7 and save electricity costs.
If you can maintain it and have enough energy on weekends to perform routine maintenance and upgrades. I would 100% recommend setting up your own homelab.
[1] https://docs.paperless-ngx.com/
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Ask HN: What Underrated Open Source Project Deserves More Recognition?
This has been posted a few times already, but I cannot tell you how life changing Paperless NGX is for organizing PDFs. As someone who wrangles all of the insurance and bills for my house, this open source software is so damn good.
https://docs.paperless-ngx.com/
I maintain Bash script to quickly set it up locally on Linux with Podman. Give it a spin if you want to kick the tires.
https://github.com/jdoss/ppngx
- Daily Price Tracking for Trader Joes
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Taking (Back?) My Internet Privacy and Presence
Personally, I use https://github.com/joeyates/imap-backup to archive all my emails and then only keep them on the remote server for as long as I need to (basically until I read them and respond or download an attachment into https://docs.paperless-ngx.com )
- Paperless-NGX: transform your physical documents into a searchable archive
- Paperless-ngx: open-source document management system
What are some alternatives?
alibi-detect - Algorithms for outlier, adversarial and drift detection
Papermerge - Open Source Document Management System for Digital Archives (Scanned Documents)
python-tidal - Python API for TIDAL music streaming service
Paperless-ng - A supercharged version of paperless: scan, index and archive all your physical documents
wayfire - A modular and extensible wayland compositor
Docspell - Assist in organizing your piles of documents, resulting from scanners, e-mails and other sources with miminal effort.
PySyft - Perform data science on data that remains in someone else's server
Mayan EDMS - Free Open Source Document Management System (mirror, no pull request or issues)
edl - Inofficial Qualcomm Firehose / Sahara / Streaming / Diag Tools :)
Nextcloud - āļø Nextcloud server, a safe home for all your data
makinage - Stream Processing Made Easy
Nginx Proxy Manager - Docker container for managing Nginx proxy hosts with a simple, powerful interface