tsdownsample
High-performance time series downsampling algorithms for visualization (by predict-idlab)
argminmax
Efficient argmin & argmax (by jvdd)
Our great sponsors
| tsdownsample | argminmax | |
|---|---|---|
| 7 | 3 | |
| 127 | 52 | |
| 6.3% | - | |
| 6.0 | 5.7 | |
| 16 days ago | 16 days ago | |
| Jupyter Notebook | Rust | |
| 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.
tsdownsample
Posts with mentions or reviews of tsdownsample.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-27.
- downsampling 500M datapoints in < 0.05s
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[P] tsdownsample: extremely fast time series downsampling for visualization
P.S.: I recently discovered a bug in the implementation (when there are large gaps in the time series ) -> PR https://github.com/predict-idlab/tsdownsample/pull/20 should fix this
- tsdownsample: Timeseries downsampling with 200-300x better performance vs. NumPy
- tsdownsample: time-series downsampling with 200-300x performance to equivalent numpy routines
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tsdownsample: extremely fast time series downsampling written in Rust
I just created an Issue for this: https://github.com/predict-idlab/tsdownsample/issues/19
argminmax
Posts with mentions or reviews of argminmax.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-24.
-
[P] tsdownsample: extremely fast time series downsampling for visualization
Fast: leverages the optimized argminmax crate which is SIMD accelerated with runtime feature detection (matches or even outperforms numpy's speed)
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tsdownsample: extremely fast time series downsampling written in Rust
tsdownsample brings highly optimized time series downsampling to Python, by using the SIMD optimized argminmax crate - which matches or even outperforms numpy's speed (300x faster for f16). Through using runtime feature set detection, this crate selects the most optimal SIMD implementation for the current CPU (supports SSE, AVX(2), AVX512, NEON).
-
My first rust project: argminmax - efficient argmin & argmax with SIMD avx2
Code: https://github.com/jvdd/argminmax
What are some alternatives?
When comparing tsdownsample and argminmax you can also consider the following projects:
ZenithTA - A high performance python technical analysis library written in Rust and the Numpy C API.
simd-adler32 - A SIMD-accelerated Adler-32 hash algorithm implementation.
tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
downsample - Collection of several downsampling methods for time series visualisation purposes.
Panther - A high performance python technical analysis library written in Rust and the Numpy C API. [Moved to: https://github.com/gregyjames/ZenithTA]