orange
pyStudio
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orange | pyStudio | |
---|---|---|
26 | 6 | |
4,594 | 117 | |
1.5% | 0.9% | |
9.6 | 7.8 | |
8 days ago | 6 months ago | |
Python | Python | |
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.
orange
- 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?
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Book or web book recommendation request: a data visualization cookbook using Python for scientists.
Have you tried Orange? https://orangedatamining.com/ This is not a direct answer to your question but Orange has Python based stuff for data mining and visualization. It is very intuitive as for being a graphical interface.
pyStudio
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An easy way to test before running into code
Their repo is here: https://github.com/elmpystudio/pyStudio
- Show HN: Open-Source No-Code Platform for Machine Learning and Data Science
- [P] Get the max of your data with the easier way to do machine learning in Python without coding!
- Get the max of your data with the easier way to do machine learning in Python without coding!
What are some alternatives?
glue - Linked Data Visualizations Across Multiple Files
canarypy - CanaryPy - A light and powerful canary release for Data Pipelines
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
Keras - Deep Learning for humans
RDKit - The official sources for the RDKit library
dagster - An orchestration platform for the development, production, and observation of data assets.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
scikit-learn - scikit-learn: machine learning in Python
Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python
dagster-example-pipeline - Template Dagster repo using poetry and a single Docker container; works well with CICD
NumPy - The fundamental package for scientific computing with Python.
valmi-activation - ⚡ valmi.io reverse ETL (data activation) is the open source ( OSS ) data activation platform to load data from warehouses into Webhooks and SaaS tools like Klaviyo, Facebook Ads, Salesforce, Braze etc. Valmi.io Customer Data Platform (CDP) helps track and ingest user activity events from websites, shopify, serverside events. https://cloud.valmi.io