H2O
Prophet
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H2O

Really struggling with open source models
I would use H20 if I were you. You can try out LLMs with a nice GUI. Unless you have some familiarity with the tools needed to run these projects, it can be frustrating. https://h2o.ai/
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H2O.ai H2O is a deep learning tool built in Java. It supports most widely used machine learning algorithms and is a fast, scalable machine learning application interface used for deep learning, elastic net, logistic regression, and gradient boosting.

Data Science Competition
H20
Prophet
 Facebook Prophet: library for generating forecasts from any time series data

Complete: D214  MSDA Capstone
My rescue came from discovering some of the alternatives to ARIMA/SARIMA, which was the extent of what we had covered for time series data. A series of searches eventually led me to some automated time series analysis packages, one of which was Prophet, an open source time series package released by Facebook's core data science team. This was a life saver, being a much more efficient and more effective forecasting tool than sloooowly iterating through ARIMA/SARIMA models that seemed to want to fight with me. If you're going to do a time series analysis for your capstone, I strongly suggest taking a look at using Prophet.
 Dec 12, 2022 FLiP Stack Weekly
 Ask HN: Data Scientists, what libraries do you use for timeseries forecasting?

[D] Time Series Question
Prophet

LSTM/CNN architectures for time series forecasting[Discussion]
Prophet
 Eden

Predição de ações na bolsa de valores com Python e Facebook Prophet
Prophet: Automação preditiva.
 Time series analysis of Bitcoin price in Python with fbprophet ?!

Data Science toolset summary from 2021
Prophet  It is a timeseries forecasting library built by Facebook. Prophet is a procedure for forecasting time series data based on an additive model where nonlinear 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. Link  https://github.com/facebook/prophet
What are some alternatives?
tensorflow  An Open Source Machine Learning Framework for Everyone
darts  A python library for userfriendly forecasting and anomaly detection on time series.
xgboost  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
scikitlearn  scikitlearn: machine learning in Python
greykite  A flexible, intuitive and fast forecasting library
MLflow  Open source platform for the machine learning lifecycle
pycaret  An opensource, lowcode machine learning library in Python
Keras  Deep Learning for humans
sktime  A unified framework for machine learning with time series
pytorchforecasting  Time series forecasting with PyTorch