Top 3 Python Ekf Projects
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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Project mention: Automated smooth N'th order derivatives of noisy, non-uniformly sampled data | news.ycombinator.com | 2024-10-16
This little project came about because I kept running into the same problem: cleanly differentiating sensor data before doing analysis. There are a ton of ways to solve this problem, I've always personally been a fan of using kalman filters for the job as its easy to get the double whammy of resampling/upsampling to a fixed consistent rate and also smoothing/outlier rejection. I wrote a little numpy only bayesian filtering/smoothing library recently (https://github.com/hugohadfield/bayesfilter/) so this felt like a fun and very useful first thing to try it out on! If people find kalmangrad useful I would be more than happy to add a few more features etc. and I would be very grateful if people sent in any bugs they spot.. Thanks!
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Index
What are some of the best open-source Ekf projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | PythonRobotics | 24,959 |
| 2 | dpoint | 1,031 |
| 3 | bayesfilter | 26 |
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