orange
cosmopolitan
Our great sponsors
orange | cosmopolitan | |
---|---|---|
27 | 201 | |
4,604 | 15,067 | |
1.7% | - | |
9.6 | 9.8 | |
8 days ago | 5 days ago | |
Python | C | |
ISC 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.
orange
-
Hierarchical Clustering
I know I've tooted its horn before, but Orange3 is a pretty neat Python-based GUI platform that makes this and a metric buttload of other statistical/ML techniques available to non-programmer types.
Just watch out for null character `x00` in the corpus. That always seems to kill it stone dead.
https://orangedatamining.com/
https://orange3.readthedocs.io/projects/orange-visual-progra...
- Orange Data Mining
-
The Graph of Wikipedia [video]
For all you folks who aren't ace programmer types, the Orange3[1] platform gives you a very miniaturized[2] ability to turn out these sorts of visualizations very rapidly. It's not the most stable thing in the world, but the node-based ML workflow designer is worth the price of admission all by itself.
[1] https://orangedatamining.com/
[2] The Wikipedia extension in Text limits each search result to 25 articles, so sucking all of Wikipedia is . . well, Orange text analytics crashes when I look at it sideways with a null character, so let's not think about what would happen.
- Ask HN: What Underrated Open Source Project Deserves More Recognition?
-
Taxonomy Management?
First is identifying the "similar" things in a corpus. Best way I know to do that, for non-programmer audiences, is the Orange Data Mining tool, which gives you a node-based text mining interface to perform statistical analysis on text. Hierarchical Clustering shows - very rapidly - how similar your "modules" are, which ones are most similar. There's many other techniques (semantic viewer, similarity hash, etc) as well - the right one will depend on how your content is laying about.
- Orange: Open-source machine learning and data visualization
-
What exactly is AutoGPT?
Both tools are ripoffs of a data mining framework named Orange 3
-
Why don't more people use Altair for python Visualizations instead of Plotly?
You should also check out Orange Data Mining, it allows to create a lot of charts, filter data from a chart to another, build ML models, predictions and a lot more. And you can do it with zero code.
-
Advice on Transitioning to Data Science/ML/AI without Coding Experience
You can start with a free GUI based tool Orange. It is a component based data science workflow tool, which you can use to handle 60-75% of the traditional data science tasks from classification, regression, to basic neural networks.
- Has anybody used Orange?
cosmopolitan
-
Python Is Portable
The reality is a bit different, the work on Python 3.6 was checked into the Cosmopolitan repo and I have been able to use it for production workloads that are in pure python. [0]
As Cosmopolitan Libc has evolved, it has been possible to compile more software without modifications, and that includes latest Python through a project called superconfigure[1].
Last person who tried to reproduce it from scratch did it last week (granted it too them a few days of solid work) but in the end they ended with a portable binary with Python 3.11.9, brotli, ssl and asyncio for their work related project.[2]
[0] https://github.com/jart/cosmopolitan/tree/master/third_party...
-
Ask HN: What Underrated Open Source Project Deserves More Recognition?
Cosmopolitan https://github.com/jart/cosmopolitan and https://justine.lol/cosmopolitan/index.html
Some genius realized that you can actually embed valid win32 programs inside valid posix shell scripts, and found a way to make a C cross-platform solution out of it, meaning that you can write C programs that compile to a single executable that will run on (quoting the site) Linux + Mac + Windows + FreeBSD + OpenBSD + NetBSD + BIOS
It all started from this post.
- Cosmopolitan – build-once run-anywhere C library
-
Show HN: Usr/bin/env Docker run
For this .args file, put one argument per line. This will run on start. You can use `/zip/mydepencency.anything` to read from files, but if you have an executable dependency you'll need to extract it first.
You can do this with any software you can compile with comsocc, by adding a call to LoadZipArgs[1] in the main function.
It'seasy to get started, your ideas will branch out as soon as you start playing with it.
[1]: https://github.com/jart/cosmopolitan/blob/master/tool/args/a...
-
Libwebsockets
FWIW there is ongoing work with good progress to add websocket support to redbean (https://github.com/jart/cosmopolitan/pull/967)
- Release Cosmopolitan v3.2
- Cosmopolitan v3.2
-
Ask HN: ANSI escape sequences reference docs?
Check out this comment by jart (cosmpolitan author) here: https://github.com/jart/cosmopolitan/issues/766#issuecomment...
it might help but not sure how comprehensive it is! would it be a bad idea for you to check out the source code of other popular emulators (maybe iTerm 2^0) ?
0: https://github.com/search?q=repo%3Agnachman%2FiTerm2%20ansi&...
-
Actually Portable Vim (With a Cute Vimrc)
The binary was compiled with Cosmopolitan Libc [0], and therefore the binary will execute natively on Linux, Mac, Windows, FreeBSD, OpenBSD, NetBSD, and bare metal (BIOS boot).
I would call that portable.
[0] https://github.com/jart/cosmopolitan
-
Show HN: PyApp – runtime installer for Python applications
will go on my "to try" list where i already have cosmopolitan [2]. my last setup (windows) was shiv + wine + nsis (used that as pyinstaller had some issues)[2]
[1] https://github.com/jart/cosmopolitan/issues/141#issuecomment...
What are some alternatives?
glue - Linked Data Visualizations Across Multiple Files
libc - libc targeted for embedded systems usage. Reduced set of functionality (due to embedded nature). Chosen for portability and quick bringup.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
src - Read-only git conversion of OpenBSD's official CVS src repository. Pull requests not accepted - send diffs to the tech@ mailing list.
RDKit - The official sources for the RDKit library
SDL - Simple Directmedia Layer
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
llvm-project - The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python
luastatic - Build a standalone executable from a Lua program.
NumPy - The fundamental package for scientific computing with Python.
v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io