Awesome CAN Bus
Section: GUI Tools · The Powerful Time Series Visualization Tool (With panda hardware, cabana and plotjuggler, you can quickly RE the entire car in a few days).
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Appears in 8 awesome lists
Visualize time series (from sources such as: MQTT, Websockets, ZeroMQ, UDP, etc., supports data formats such as JSON, CBOR, BSON, Message Pack, etc.). It is a fast, powerful and intuitive cross-platform tool.
Section: GUI Tools · The Powerful Time Series Visualization Tool (With panda hardware, cabana and plotjuggler, you can quickly RE the entire car in a few days).
Section: Tools · A tool to visualize and analyze time series data logs in real-time.
Section: C++ tools · open-source Qt5 application to plot charts (based on Qwt).
Section: Visualization · PlotJuggler is a tool to visualize time series that is fast, powerful and intuitive.
Section: Visualization, Dashboards · Visualize time series (from sources such as: MQTT, Websockets, ZeroMQ, UDP, etc., supports data formats such as JSON, CBOR, BSON, Message Pack, etc.). It is a fast, powerful and intuitive cross-platform tool.
Section: Data Visualization and Mission Control · The timeseries visualization tool that you deserve.
Section: Visualization, Video, Display, and Rendering · Quickly plot and re-plot data on the fly! Includes optional ROS integration.
Section: Libraries and Packages · QT5 based application to display time series in plots, using an intuitive "drag and drop" interface. Licence: GPLv3.
Python library for automatic extraction of relevant features from time series.
Python - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Pretrained time series foundation model for long-horizon forecasting across diverse scientific domains including climate variables, biomedical signals, and physical observations; decoder-only Transformer architecture with strong zero-shot generalization (19.8K+ stars, Apache 2.0, 2024-2025)
Python - A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Probabilistic time series modeling with deep learning. Powers Amazon SageMaker forecasting with PyTorch and MXNet backends. Apache 2.0 licensed.
A Qt5 based cross platform tool which can be used to load, save, and capture canbus frames.
Time series forecasting with PyTorch. Multiple neural architectures (N-BEATS, TFT, DeepAR) with in-built interpretation capabilities, built on PyTorch Lightning for distributed training. MIT licensed.
A Library for Advanced Deep Time Series Models for General Time Series Analysis.