orange
glue
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| orange | glue | |
|---|---|---|
| 26 | 1 | |
| 4,594 | 714 | |
| 1.5% | 0.8% | |
| 9.6 | 8.9 | |
| 5 days ago | 6 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later |
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
- Ask HN: What Underrated Open Source Project Deserves More Recognition?
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What exactly is AutoGPT?
Both tools are ripoffs of a data mining framework named Orange 3
- 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.
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What are strictly data analysis jobs?
Or that you enter into counseling, accreditation: there already are processes somewhat working, and your expertise in (statistical) design of experiments (example entry on CRAN, a blog post) recommends a set of experiments. Your clients perform then the experiments in the lab, and you analyze the data collected. Eventually, the yield of product X is increased, with lower consumption of energy in a shorter time. You can complement R, or Python for this (there is an 101 on learnxinyminutes, too), of course with GUI programs you know and like (e.g., JMP, minitab; orange etc). There are some closer related to chemistry (e.g., DataWarrior.
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Show HN: Open-Source No-Code Platform for Machine Learning and Data Science
Honestly, I think ML should always involve at least a little bit of coding, which would be more practical. That said, this looks reasonable, good playground for experiment.
A good similar product is Orange: https://orangedatamining.com/
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Resources for data visualization (free & paid) for scientific publications
Actually....I thought of an interesting free option. Check out orange3. https://orangedatamining.com/
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Excel Alternatives?
I love to play with my dataset using OrangeDatamining. Very easy to use. Docs and example available. It’s like Data Modeler from IBM but better bcos it is open project :-)
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[D] Why Hasn't FOSS Drag-and-Drop ML tools taken off yet?
Currently, I am looking around for modules for Knime and Orange and looked at some of the modules, and realized that it does not have enough tools within their tool kit (e.g. text data analysis, network analysis, image classification).
glue
We haven't tracked posts mentioning glue yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
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
RDKit - The official sources for the RDKit library
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python
NumPy - The fundamental package for scientific computing with Python.
Dask - Parallel computing with task scheduling
Neupy - NeuPy is a Tensorflow based python library for prototyping and building neural networks
docker-data-science - Docker image with Data Science tools.
SciPy - SciPy library main repository
statsmodels - Statsmodels: statistical modeling and econometrics in Python
lazypredict - Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
bcbio-nextgen - Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis