awesome-oss-alternatives
orange
awesome-oss-alternatives | orange | |
---|---|---|
48 | 27 | |
15,131 | 4,611 | |
1.2% | 0.9% | |
5.8 | 9.6 | |
8 days ago | 9 days ago | |
Python | Python | |
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.
awesome-oss-alternatives
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Ask HN: What Underrated Open Source Project Deserves More Recognition?
I see that you said github repo, but my life experience has been that those "awesome" style repos are committed to once and then ignore all pull requests or issues going forward. Thus, I think the audience would be better served by AlternativeTo or one of its ilk, which offers a licensing filter on their lists (e.g. https://alternativeto.net/software/github/?license=opensourc... )
But, a quick search for alternative coughed up a few results, which exhibit the behavior I described https://github.com/RunaCapital/awesome-oss-alternatives#awes... https://github.com/btw-so/open-source-alternatives?tab=readm...
One may also find more via topic exploration, e.g. https://github.com/topics/alternatives
- OSS Alternatives: List of open source alternatives to popular services
- GitHub - btw-so/open-source-alternatives: List of open-source alternatives to everyday SaaS products.
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GitHub: List of open-source alternatives to everyday SaaS products
Yeah, although I've always found the criteria of this list strange (In particular the requirement to be a for-profit startup) and their categorization of open source is not clear as reflected in this issue I opened.
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ROSS Index for commercially backed OSS projects
I've called them out on it here and here before.
- Looking for software to manage sales, deliveries and finances
- Awesome list of open-source Startup Alternatives to well-known SaaS products 🚀
- 🔓 Infographic with open source alternatives to popular tools!
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OSS Alternatives
An awesome list of alternatives to commercial software build by OSS developers and startups, collected Igor Kotua on GitHub: https://github.com/RunaCapital/awesome-oss-alternatives opensource startups
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ROSS Index: the fastest-growing open-source startups!
They also maintain and "Awesome-OSS-Alternatives" list to which I questioned many entries within.
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?
What are some alternatives?
Twake - Twake is a secure open source collaboration platform to improve organizational productivity.
glue - Linked Data Visualizations Across Multiple Files
linshare - LinShare
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
awesome-selfhosted - A list of Free Software network services and web applications which can be hosted on your own servers
RDKit - The official sources for the RDKit library
novu - 🔥 The open-source notification infrastructure with fully functional embedded notification center 🚀🚀🚀
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
tmail-flutter - A multi-platform (Flutter) application for reading your emails, with your favorite devices, using the JMAP protocol!
Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python
OSCI - Open Source Contributor Index
NumPy - The fundamental package for scientific computing with Python.