github Not archived

facebook/prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Quick read

Stars
20,418
Forks
4,635
Open issues
455
Commits
859

Activity and growth

Latest capture 2026-09-26 03:06

Stars · last 7 days
No history
Commits · last 7 days
No history
Stars since tracking
+230
Stored snapshots
9

Classification

Technology stack

Metadata

Language
Python
License
MIT
Default branch
main
Created
2016-11-16
First commit
2017-02-22
Last pushed
2026-08-27
GitHub updated
2026-09-25
Last synced
2026-09-26 03:06
Stack scanned
2026-09-26 03:06
Archived
No

Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.

AI development signals

0 paths

Agent instructions and tool configuration found in this repository.

No config files detected.

Growth history

Tracked growth

9 observed captures since 2026-05-22. Observed captures are shown by default.

Stars from first capture +230

Chart data

Observed captures only

Time horizon

All tracked data

Custom date range

Stars history

Observed snapshots

Commits history

Observed snapshots

Similar repositories

Nearest indexed repositories by embedding similarity.

sktime/skpro

A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python

336 stars
Python 1 awesome list

functime-org/functime

Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.

1,185 stars
Python 1 awesome list

christophmark/bayesloop

Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.

172 stars
Python 1 awesome list

unit8co/darts

A python library for user-friendly forecasting and anomaly detection on time series.

9,517 stars
Python 3 awesome lists

skforecast/skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

1,539 stars
Python 2 awesome lists