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Top 23 Python time-series Projects
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Project mention: Darts: Python lib for forecasting and anomaly detection on time series | news.ycombinator.com | 2024-03-05
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🌐 Composed Image Retrieval 📎 Intro to Multimodal LLama 3.2 🛠️ Multi Agent Concierge 💻 RAG with Langchain Granite, Milvus 🫶 Download content ✅ Transformer Replacement? 🤖 vLLM for runing models 🌐 Amphion 📝 Autogluon 🚙 Notebook LLama like Google's Notebook LLM 🫶 Monocle2ai for tracing GenAI app code LFA&D Project 🤖 Bee Agent Framework ✅ LLama RFP Response ▶️ GenAI Script 👽 Simular AI Agent S 🦾 DrawDB with AI ✨ Ollama with LLama 3.2 Vision!!!! Preview 🚕 Powerful RAG Checker 📊 SQL Generator 💻 Role of LLMs 🐍 Document Extraction 🕶️ Open Source Vector DB Reddit 🍔 The Practical Guide to Self Hosting LLM 🦾 Stagehand Controller 🕶️ Understanding HNSWLIB 🐍 Best practices in RAG 💻 Enigma Agent 📝 Langchain, Ollama, Phi3 for Function Calling 🔋 Compass Judger 📝 Princeton NLP SimPO 🍔 Princeton NLP ProLong 🔋 Princeton NLP HELMET 🧐 Ollama Cheatsheet 🚕 Princeton NLP CopyCat 📊 Princeton NLP Shp 🕶️ Can LLM Solve Hard Github Issues 📝 Enabling Large Language Models to Generate Text with Citations 🔋 Princeton NLP CharXiv 📊 Awesome AI Agents List 🦾 Nomic’s Matryoshka text embedding model
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Project mention: Ask HN: What is the SOTA in short-term forecasting? | news.ycombinator.com | 2024-09-13
I've been working by my own on some personal projects on value prediction of multivariate mixed-frequency data, that is, thousands of values recorded about power generation and many exogenous variables for high frequencies used to get an estimation of a set of target variables some hours in advance. And so I've stumbled upon the world of time series forecasting with deep learning [1].
First of all: do enterprises (if they actually use deep learning, because it kind of works in my experience) retrain the neural network at each step with the new row of data? And, if so, do they take all data as the training set, and validate nothing?
Second: do they use some kernel for the loss in order to penalize errors of the model in more recent data? That would seem extremely logical to me.
Third: which arquitecture is it often used? I've been using LSTM but in [1] the SOTA arquitectures are way more advanced.
Four: as we are dealing with paths with a strong stochastic component, does it make more sense to pursue a binary output with a cross-entropy loss instead of the value of the target? As in: I will make this decision if the value exceeds 'x', let me train the nn so that it outputs the probability of exceeding 'x', or, maybe, outputing the p-confidence intervals, for example, instead of trying to naively guess the value.
[1] https://github.com/thuml/Time-Series-Library
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Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
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Project mention: Show HN: Auto Wiki v2 – Turn your codebase into a Wiki now with diagrams | news.ycombinator.com | 2024-04-23
https://github.com/awslabs/gluonts is a great candidate for a sample wiki. It is an OSS lib, not great documentation, very hard to RTFM (unlike, say, sklearn which already has a great wiki), doubtful that awslabs would pay to produce.
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vectorbt
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Project mention: Show HN: High-Frequency Trading and Market-Making Backtesting Tool with Examples | news.ycombinator.com | 2024-06-21 -
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Project mention: TimesFM (Time Series Foundation Model) for time-series forecasting | news.ycombinator.com | 2024-05-08
On a related note, Amazon also had a model for time series forecasting called Chronos.
https://github.com/amazon-science/chronos-forecasting
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Can someone help me understand the licensing of this?
https://github.com/sdv-dev/SDV/blob/main/LICENSE
It was MIT licensed up until 2022 where it was changed to what it is now, where they say that it will become MIT again 4 years after release... but is that from when the license was changed or the first release of the software in GitHub?
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flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
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LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
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orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood. (by uber)
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Time-LLM
[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"
Yes general LLM models can be used for time series forecasting:
https://github.com/KimMeen/Time-LLM
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pmdarima
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python time-series discussion
Python time-series related posts
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The Matrix Profile
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Ask HN: What is the SOTA in short-term forecasting?
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The explosion in time series forecasting packages in data science
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Show HN: Auto Wiki v2 – Turn your codebase into a Wiki now with diagrams
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Financial Market Applications of LLMs
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Chronos: Learning the Language of Time Series
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Darts: Python lib for forecasting and anomaly detection on time series
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A note from our sponsor - SaaSHub
www.saashub.com | 19 Jan 2025
Index
What are some of the best open-source time-series projects in Python? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | darts | 8,246 |
| 2 | autogluon | 8,239 |
| 3 | sktime | 8,093 |
| 4 | Time-Series-Library | 7,690 |
| 5 | Informer2020 | 5,610 |
| 6 | Kats | 5,553 |
| 7 | gluonts | 4,735 |
| 8 | vectorbt | 4,653 |
| 9 | statsforecast | 4,081 |
| 10 | neural_prophet | 3,939 |
| 11 | Merlion | 3,496 |
| 12 | neuralforecast | 3,239 |
| 13 | Mycodo | 3,018 |
| 14 | tslearn | 2,933 |
| 15 | chronos-forecasting | 2,808 |
| 16 | SDV | 2,453 |
| 17 | flow-forecast | 2,102 |
| 18 | LTSF-Linear | 2,081 |
| 19 | orbit | 1,930 |
| 20 | Time-LLM | 1,642 |
| 21 | pmdarima | 1,610 |
| 22 | liquid_time_constant_networks | 1,589 |
| 23 | tods | 1,478 |
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