Showing 21-40 of 109 projects
A transformer-based time series forecasting library for vibe coders using AI tools.
PaddleX is an all-in-one development tool based on PaddlePaddle, providing AI pipelines for computer vision, NLP, and more.
Open-source, cloud-native, unified observability database for metrics, logs and traces, supporting SQL/PromQL/Streaming.
A state-of-the-art deep learning library for time series and sequence modeling in PyTorch/fastai.
A Time Series Visualization Tool for plotting and visualizing data in real-time.
A Python library for probabilistic time series modeling and forecasting, useful for data scientists and ML engineers.
Chronos is a pretrained model for time series forecasting, leveraging large language models and transformers.
A fast, open-source library for time series forecasting using statistical and econometric models.
A Python framework for building advanced time series forecasting and anomaly detection models.
CrateDB is a distributed, scalable SQL database for storing and analyzing massive amounts of data in near real-time.
NeuralProphet is a simple forecasting package that uses neural networks and time series analysis to make predictions.
Scalable neural forecasting algorithms for time-series data, with support for various deep learning models.
A highly scalable, distributed, document-oriented NoSQL database with full-text search, spatial, and time-series support.
A Ruby library that makes it easy to group temporal data, useful for developers working with time-series data.
TimeGPT-1 is a production-ready pre-trained time series foundation model for forecasting and anomaly detection.
Generates synthetic tabular data for machine learning and AI applications
Time Series Alerting Framework for monitoring and alerting on time-series data.
An open-source environmental monitoring and regulation system built with Python for Raspberry Pi.
A curated list of tools and datasets for anomaly detection on time-series data.
A JavaScript library for creating time-series calendar heatmaps, built with D3.js.
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