github Actively maintained

linkedin/greykite

A flexible, intuitive and fast forecasting library

1 awesome list

Quick read

Stars
1,854
Forks
107
Open issues
14
Commits
29

Activity and growth

Latest capture 2026-08-23 03:05

Stars · last 7 days
No history
Commits · last 7 days
No history
Stars since tracking
-1
Stored snapshots
8

Classification

Technology stack

Metadata

Language
Python
License
BSD-2-Clause
Default branch
master
Created
2021-04-27
First commit
2021-05-01
Last pushed
2025-02-20
GitHub updated
2026-08-16
Last synced
2026-08-23 03:05
Stack scanned
2026-08-23 03:05
Archived
No

AI development signals

0 paths

Agent instructions and tool configuration found in this repository.

No config files detected.

Growth history

Tracked growth

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

Stars from first capture -1

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.

skforecast/skforecast

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

1,526 stars
Python 2 awesome lists

Nixtla/neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

4,252 stars
Python 1 awesome list

sktime/sktime

A unified framework for machine learning with time series

9,989 stars
Python 3 awesome lists

Nixtla/mlforecast

Scalable machine 🤖 learning for time series forecasting.

1,260 stars
Python 2 awesome lists

GreptimeTeam/greptimedb

The open-source Observability 2.0 database. One engine for metrics, logs, and traces — replacing Prometheus, Loki & ES.

6,519 stars
Rust 1 awesome list