mars
eland
Our great sponsors
| mars | eland | |
|---|---|---|
| - | 4 | |
| 2,675 | 608 | |
| 0.2% | 1.5% | |
| 5.7 | 8.6 | |
| 4 months ago | 12 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
mars
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Tracking mentions began in Dec 2020.
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
What are some alternatives?
modin - Modin: Scale your Pandas workflows by changing a single line of code
pandastable - Table analysis in Tkinter using pandas DataFrames.
xarray - N-D labeled arrays and datasets in Python
Python-Schema-Matching - A python tool using XGboost and sentence-transformers to perform schema matching task on tables.
scikit-learn-intelex - Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
scikit-survival - Survival analysis built on top of scikit-learn
nixtla - Python SDK for TimeGPT, a foundational time series model
dmatrix2np - Convert XGBoost's DMatrix format to np.array
kangas - 🦘 Explore multimedia datasets at scale
alpha-zero-boosted - A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)
Solomon - Data Exploration tool.