orange
pyinfra
orange | pyinfra | |
---|---|---|
27 | 31 | |
4,619 | 3,330 | |
0.9% | 22.3% | |
9.6 | 9.0 | |
3 days ago | 1 day ago | |
Python | Python | |
GNU General Public License v3.0 or later | 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.
orange
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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
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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?
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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
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What exactly is AutoGPT?
Both tools are ripoffs of a data mining framework named Orange 3
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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.
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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?
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?
glue - Linked Data Visualizations Across Multiple Files
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.
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
Fabric - Simple, Pythonic remote execution and deployment.
RDKit - The official sources for the RDKit library
psutil - Cross-platform lib for process and system monitoring in Python
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Docker Compose - Define and run multi-container applications with Docker
Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python
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.
NumPy - The fundamental package for scientific computing with Python.
SaltStack - Software to automate the management and configuration of any infrastructure or application at scale. Get access to the Salt software package repository here: