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Real-time stream processing for python
Hi I'm currently improving the user experience when running HoloViz Panel in Jupyterlite (Panelite). We have a `Streamz` pane and also some examples using `Streamz`. For example https://panelite.holoviz.org/lab/index.html?path=reference/panes/DataFrame.ipynb. Unfortunately `Streamz`...
Is there such a stream? I want to hold all of the events appeared within a giving time range starting from now (and do some aggregation downstream), e.g. all of...
I want to use streamz for offline processing on historical data, the data is timestamped. Looking through source code, time related streams (e.g. `timed_window`, `delay`, `rate_limit`, etc.) use `time()` function...
Does anyone have any suggestions or experience generating a real-time visualization of streams and the events flowing through the pipeline? After I get a real time viz going I want...
Currently this uses `pkg_resources`, which is [planned to go away]( https://github.com/pypa/setuptools/milestone/4 ): https://github.com/python-streamz/streamz/blob/b73a8c4c5be35ff1dae220daaefbfd2bfa58e0a1/streamz/plugins.py#L3 The code using it mainly uses the `iter_entry_points` function: https://github.com/python-streamz/streamz/blob/b73a8c4c5be35ff1dae220daaefbfd2bfa58e0a1/streamz/plugins.py#L17-L22 This could be replaced by [`importlib.metadata.entry_points`]( https://docs.python.org/3/library/importlib.metadata.html#entry-points...
As the title suggests I would be interested in knowing why there is no active development happening anymore? Is streamz deprecated? Not maintained anymore? Also, does anyone know what happened...
In a simple use case like downloading files and process them on a single machine, how could one achieve parallelization of downloads and processes with buffers? Example: ```python import time...
This is a code for calculating the rolling average of the future ratio/spot ratio - 1 in real-time. Since there can be a large amount of data streaming in from...