Modin: Scale your Pandas workflows by changing a single line of code
- dataframe
- pandas
- distributed
- datascience
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Modin: Scale your Pandas workflows by changing a single line of code
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Investigate malicious Windows logon by visualizing and analyzing Windows event log
With Holoviews, your data visualizes itself.
StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data from any environment, using datasources and alerting logic you define.
git-cola: The highly caffeinated Git GUI
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
InfluxDB Community Templates: Quickly collect & analyze time series data from a range of sources: Kubernetes, MySQL, Postgres, AWS, Nginx, Jenkins, and more.
Easily bring your Python applications online with the world's lightest GUI toolkit.
Kaapana is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".
BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.
manim cell magic for IPython/Jupyter to show the output video
A tool that supports one-button reproducible workflows with the Jupyter Notebook and Scons.
Xonsh Jupyter kernel allows to run Xonsh shell code in Jupyter, JupyterLab, Euporie, etc.