simplification
Very fast Python line simplification using either the RDP or Visvalingam-Whyatt algorithm implemented in Rust (by urschrei)
plotly-resampler
Visualize large time series data with plotly.py (by predict-idlab)
Our great sponsors
simplification | plotly-resampler | |
---|---|---|
2 | 60 | |
155 | 937 | |
- | 3.3% | |
7.7 | 7.5 | |
14 days ago | about 1 month ago | |
Python | Python | |
MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
simplification
Posts with mentions or reviews of simplification.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-15.
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Making large line-charts (visualizations) scalable with plotly-resampler
Looks great! I have been using https://github.com/urschrei/simplification Visvalingam-Whyatt algo as per suggestion of Mike Bostock https://bost.ocks.org/mike/simplify/, don't know if it's comptetitive with the EffLTTB. It is surposesd to be fast and good in terms of shape preservation.
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Julia is the better language for extending Python
Rust doesn’t need to copy the data. It’s trivial to pass e.g. Numpy arrays to Rust as slices via Cython (let alone originating in Cython!), modify them, and return them, or use them as input for a new returned struct.
https://github.com/urschrei/simplification
https://github.com/urschrei/lonlat_bng
https://github.com/urschrei/pypolyline
Each of those repos has links to the corresponding Rust “shim” libraries that provide FFIs for dealing with the incoming data, constructing Rust data structures from it, and then transforming it back on the way out.
As a more general comment, using a GC language as the FFI target from a GC language is begging for difficult-if-not-impossible-to-debug crashes down the line.
plotly-resampler
Posts with mentions or reviews of plotly-resampler.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-27.
- plotly-resampler: NEW Data - star count:800.0
- plotly-resampler: NEW Data - star count:760.0
- Highly scalable time series visualization in Python
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downsampling 500M datapoints in < 0.05s
We plan to integrate this in our (already quite scalable) time series visualization library https://github.com/predict-idlab/plotly-resampler - should further increase the scalability by a factor 10 :)