FloridaPropertyData
eland


FloridaPropertyData | eland | |
---|---|---|
1 | 4 | |
3 | 663 | |
- | 0.5% | |
4.3 | 7.7 | |
over 1 year ago | 4 days ago | |
Python | Python | |
MIT License | 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.
FloridaPropertyData
eland
-
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 :)
-
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?
letsql - LETSQL is a deferred compute system focused on smart composition of AI pipelines. Optimize performance with cross-engine caching and static planning. Easily go from research to production with portable UDFs.
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
streamlit-geospatial - A multi-page streamlit app for geospatial
Solomon - Data Exploration tool.
nixtla - TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
chainladder-python - Actuarial reserving in Python
kangas - 🦘 Explore multimedia datasets at scale
modin - Modin: Scale your Pandas workflows by changing a single line of code
scikit-learn-intelex - Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
pandastable - Table analysis in Tkinter using pandas DataFrames.
riptable - 64bit multithreaded python data analytics tools for numpy arrays and datasets

