eland
Solomon
| eland | Solomon | |
|---|---|---|
| 4 | 2 | |
| 611 | 1 | |
| 0.5% | - | |
| 8.5 | 10.0 | |
| about 2 hours ago | about 1 year ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
eland
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I'm getting elasticsearch.BadRequestError: BadRequestError(400, 'illegal_argument_exception', "specified fields can't be null or empty") using Eland library
We have a fix for this issue reported here merged and pending a release. Hopefully that release will happen in the next few days, then you can upgrade and the default experience for everyone won't be as confusing :)
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is it possible to use log data from elastic search and visualise it to a custom made dashboard in python?
Another option depending on what sort of data you want, and if you want to use python, is to use Eland: https://github.com/elastic/eland, together with for example Jupyter notebooks you can create super quick visualizations :)
- hey, any idea about how to automatically extract data from kibana to a panda data frame in order to be analyzed?
- Explore and analyze Elasticsearch data with Pandas-Compatible API
Solomon
What are some alternatives?
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pandastable - Table analysis in Tkinter using pandas DataFrames.
visualiza - A general-purpose dynamic data visualizer.
modin - Modin: Scale your Pandas workflows by changing a single line of code
haystack-search-pipeline-streamlit - 🚀 Template Haystack Search Application with Streamlit
scikit-learn-intelex - Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
kangas - 🦘 Explore multimedia datasets at scale
tablexplore - Table analysis and plotting application written in PySide2/PyQt5
nixtla - Python SDK for TimeGPT, a foundational time series model
DataProfiler - What's in your data? Extract schema, statistics and entities from datasets