eland
kangas
| eland | kangas | |
|---|---|---|
| 4 | 12 | |
| 611 | 1,028 | |
| 0.5% | 0.4% | |
| 8.5 | 7.1 | |
| about 2 hours ago | 8 days ago | |
| Python | Jupyter Notebook | |
| 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.
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
kangas
- Kangas: Pandas for Multimedia Datasets
- Reimagining Santa Clause with Stable Diffusion
- Reimagining Santa Claus with Stable Diffusion
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[P] Kangas 2.0: EDA for Computer Vision Datasets
We're incredibly grateful to the community here for all the feedback and support you've offered so far. It's been very helpful to us in setting our roadmap, and motivating our continued work. If you're curious about Kangas, please take it for a spin by running any of the Colab notebooks linked in the project README, or by visiting https://kangas.comet.com, where we've deployed a demo app.
- Kangas – Exploratory Data Analysis for Computer Vision Datasets
- Kangas: Explore Multimedia Datasets at Scale
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kangas is a new python library and I'm sharing how I used this to evaluate my images in my object detection project.
Github: https://github.com/comet-ml/kangas
- Kangas V1: A pandas-like library for exploring multimedia data
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My company just released a New Open Source Project called Kangas. Here's a video of me showing how I used the tool to visualize my Experience Replay Buffers for my RL Robotics Environment!
Just wanted to alert the RL community of a cool new open-source tool that was just released. Kangas Datagrid is like Excel/Pandas but for Images! It's super easy to use and install! Check out the repository and also a live interactive demo here!
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.
pandas-paddles - Access the parent Pandas data frame in loc[], iloc[], assign(), and others Pandas helpers
pandastable - Table analysis in Tkinter using pandas DataFrames.
vaex - Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
modin - Modin: Scale your Pandas workflows by changing a single line of code
pandas-profiling - Create HTML profiling reports from pandas DataFrame objects [Moved to: https://github.com/ydataai/pandas-profiling]
scikit-learn-intelex - Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
sweetviz - Visualize and compare datasets, target values and associations, with one line of code.
nixtla - Python SDK for TimeGPT, a foundational time series model
Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Solomon - Data Exploration tool.
thesis_undergrad - Documentation: Methodology and Exploratory Data Analysis