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Top 23 Forecasting Open-Source 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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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
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awesome-project-ideas
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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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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tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
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time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
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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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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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: Aeon: A unified framework for machine learning with time series | news.ycombinator.com | 2023-06-22
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
Project mention: time-series-transformers-review: NEW Data - star count:1424.0 | /r/algoprojects | 2023-08-12
Forecasting related posts
- 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
- Fable: Forecasting Models for Tidy 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)
- prophet: NEW Data - star count:17116.0
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A note from our sponsor - InfluxDB
www.influxdata.com | 20 Apr 2024
Index
What are some of the best open-source Forecasting projects? This list will help you:
Project | Stars | |
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1 | MindsDB | 21,160 |
2 | Prophet | 17,720 |
3 | DeepLearningExamples | 12,576 |
4 | statsmodels | 9,513 |
5 | awesome-project-ideas | 7,404 |
6 | sktime | 7,387 |
7 | darts | 7,232 |
8 | autogluon | 7,050 |
9 | Informer2020 | 4,890 |
10 | Kats | 4,742 |
11 | tsai | 4,659 |
12 | gluonts | 4,254 |
13 | neural_prophet | 3,630 |
14 | pytorch-forecasting | 3,590 |
15 | statsforecast | 3,519 |
16 | Merlion | 3,255 |
17 | neuralforecast | 2,386 |
18 | time-series-transformers-review | 2,068 |
19 | flow-forecast | 1,874 |
20 | orbit | 1,797 |
21 | LTSF-Linear | 1,766 |
22 | chronos-forecasting | 1,525 |
23 | pmdarima | 1,515 |
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