modern-errors
Prophet
modern-errors | Prophet | |
---|---|---|
9 | 221 | |
1,442 | 17,767 | |
- | 0.6% | |
8.0 | 6.2 | |
14 days ago | 5 days ago | |
JavaScript | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
modern-errors
- Modern Errors
- Dec 12, 2022 FLiP Stack Weekly
- A library for handling JavaScript errors in a simple, stable, consistent way
- Ehmicky/modern-errors: Handle errors in a simple, stable, consistent way
- Modern Errors: Handle errors in a simple, stable, consistent way
- Handle errors in a simple, stable, consistent way
Prophet
-
Moirai: A Time Series Foundation Model for Universal Forecasting
https://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."
- prophet: NEW Data - star count:17116.0
- prophet: NEW Data - star count:17082.0
- Facebook Prophet: library for generating forecasts from any time series data
- prophet: NEW Data - star count:16196.0
- prophet: NEW Data - star count:15889.0
What are some alternatives?
Express - Fast, unopinionated, minimalist web framework for node.
tensorflow - An Open Source Machine Learning Framework for Everyone
sqs-consumer - Build Amazon Simple Queue Service (SQS) based applications without the boilerplate
darts - A python library for user-friendly forecasting and anomaly detection on time series.
sqs-producer - Simple scaffolding for applications that produce SQS messages
scikit-learn - scikit-learn: machine learning in Python
MERN - ⛔️ DEPRECATED - Boilerplate for getting started with MERN stack
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
derby - MVC framework making it easy to write realtime, collaborative applications that run in both Node.js and browsers
greykite - A flexible, intuitive and fast forecasting library
Nest - A progressive Node.js framework for building efficient, scalable, and enterprise-grade server-side applications with TypeScript/JavaScript 🚀
MLflow - Open source platform for the machine learning lifecycle