FloridaPropertyData
eland
| FloridaPropertyData | eland | |
|---|---|---|
| 1 | 4 | |
| 2 | 613 | |
| - | 1.1% | |
| 4.3 | 8.5 | |
| 8 months ago | 10 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?
mars - Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
pandastable - Table analysis in Tkinter using pandas DataFrames.
modin - Modin: Scale your Pandas workflows by changing a single line of code
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
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 🚀.
Solomon - Data Exploration tool.
chainladder-python - Actuarial reserving in Python
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
riptable - 64bit multithreaded python data analytics tools for numpy arrays and datasets