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Top 23 Python Forecasting Projects
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Prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
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WorkOS
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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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flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood 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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LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
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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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functime
Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
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SaaSHub
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Project mention: What’s the Difference Between Fine-tuning, Retraining, and RAG? | dev.to | 2024-04-08Check us out on GitHub.
Project mention: Moirai: A Time Series Foundation Model for Universal Forecasting | news.ycombinator.com | 2024-03-25https://facebook.github.io/prophet/
"Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well."
Project mention: Darts: Python lib for forecasting and anomaly detection on time series | news.ycombinator.com | 2024-03-05
Project mention: pip install remyxai - easiest way to create custom vision models | /r/computervision | 2023-04-25This seems not very convincing. There are other popular frameworks that provide AutoML with existing datasets (eg https://github.com/autogluon/autogluon)
Project mention: Show HN: Auto Wiki v2 – Turn your codebase into a Wiki now with diagrams | news.ycombinator.com | 2024-04-23https://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.
Project mention: Facebook Prophet: library for generating forecasts from any time series data | news.ycombinator.com | 2023-09-26
I can't find the TimeGPT-1 model.
LICENSE Apache-2
https://github.com/Nixtla/statsforecast/blob/main/LICENSE
Mentions ARIMA, ETS, CES, and Theta modeling
Project mention: [D] Doubts on the implementation of LSTMs for timeseries prediction (like including weather forecasts) | /r/MachineLearning | 2023-12-10
There were some developments using LLMs in the timeseries domain which caught my attention.
I toyed with the Chronos forecasting toolkit [1], and the results were predictably off by wild margins [2]
What really caught my eye though was the "feel" of the predicted timeseries -- this is the first time I've seen synthetic timeseries that look like the real thing. Stock charts have a certain quality to them, once you've been looking at them long enough, you can tell more often than not whether some unlabeled data is a stock price timeseries or not. It seems the chronos LLM was able to pick up on that "nature" of the price movement, and replicate it in its forecasts. Impressive!
1: https://github.com/amazon-science/chronos-forecasting
2: https://imgur.com/a/hTRQ38d
Project mention: Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting | news.ycombinator.com | 2024-02-26
Python Forecasting related posts
- Show HN: Auto Wiki v2 – Turn your codebase into a Wiki now with diagrams
- Financial Market Applications of LLMs
- Moirai: A Time Series Foundation Model for Universal Forecasting
- Chronos: Learning the Language of Time Series
- Darts: Python lib for forecasting and anomaly detection on time series
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
- [D] Doubts on the implementation of LSTMs for timeseries prediction (like including weather forecasts)
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Index
What are some of the best open-source Forecasting projects in Python? This list will help you:
Project | Stars | |
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1 | MindsDB | 21,223 |
2 | Prophet | 17,720 |
3 | statsmodels | 9,534 |
4 | sktime | 7,404 |
5 | darts | 7,232 |
6 | autogluon | 7,091 |
7 | Informer2020 | 4,890 |
8 | Kats | 4,750 |
9 | gluonts | 4,277 |
10 | neural_prophet | 3,630 |
11 | pytorch-forecasting | 3,590 |
12 | statsforecast | 3,540 |
13 | Merlion | 3,255 |
14 | neuralforecast | 2,405 |
15 | flow-forecast | 1,884 |
16 | orbit | 1,799 |
17 | LTSF-Linear | 1,783 |
18 | chronos-forecasting | 1,589 |
19 | pmdarima | 1,515 |
20 | lag-llama | 942 |
21 | functime | 891 |
22 | django-ledger | 833 |
23 | aeon | 794 |
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