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GitHub / Nixtla / statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nixtla%2Fstatsforecast

Stars: 3,568
Forks: 241
Open Issues: 96

License: apache-2.0
Language: Python
Repo Size: 178 MB
Dependencies: 156

Created: over 2 years ago
Updated: 11 days ago
Last pushed: 11 days ago
Last synced: 10 days ago

Commit Stats

Commits: 929
Authors: 22
Mean commits per author: 42.23
Development Distribution Score: 0.234
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/Nixtla/statsforecast

Topics: arima, automl, baselines, data-science, econometrics, ets, exponential-smoothing, fbprophet, forecasting, machine-learning, mstl, naive, neuralprophet, predictions, prophet, python, seasonal-naive, statistics, theta, time-series

Files

Readme

Dependencies

dev/environment.yml conda

holidays <0.21
jupyterlab
matplotlib
numba >=0.55.0
numpy >=1.21.6
pandas >=1.3.5
pip
plotly
prophet
pyarrow
pyspark >=3.3
scipy >=1.7.3
statsmodels >=0.13.2
tabulate
utilsforecast >=0.0.5

experiments/arima/environment.yml conda

experiments/arima_prophet_adapter/environment.yml conda

prophet
python 3.7.*

experiments/arima_xreg/environment.yml conda

experiments/benchmarks_at_scale/environment.yml conda

fire
jupyterlab
pip 20.3.3
pyarrow
python 3.7.*

experiments/ces/environment.yml conda

experiments/ets/environment.yml conda

experiments/ets_intervals/environment.yml conda

experiments/m3/environment.yml conda

fire
numba
numpy 1.21.4
pip 20.3.3
python 3.7.*
scikit-learn
tabulate

experiments/mstl/environment.yml conda

fire
numba
numpy
pip 20.3.3
prophet
python 3.8.*

experiments/neuralprophet/environment.yml conda

fire
numba
numpy
pip 20.3.3
python 3.8.*

experiments/ray_ets/environment.yml conda

numpy 1.21.4
pip 20.3.3
python 3.7.*

experiments/theta/environment.yml conda

fire
numba
numpy 1.21.4
pip 20.3.3
python 3.7.*
scikit-learn
tabulate

setup.py pypi

.github/workflows/ci.yaml actions

actions/checkout v2 composite
actions/checkout v3 composite
actions/setup-python v2 composite
mamba-org/setup-micromamba v1 composite

.github/workflows/deploy.yaml actions

fastai/workflows/quarto-ghp master composite

.github/workflows/lint.yaml actions

actions/checkout v2 composite
actions/setup-python v2 composite

.github/workflows/no-response.yaml actions

lee-dohm/no-response v0.5.0 composite

.github/workflows/python-publish.yml actions

actions/checkout v3 composite
actions/setup-python v3 composite
pypa/gh-action-pypi-publish release/v1 composite

dev/Dockerfile docker

python 3.10 build

experiments/arima/Dockerfile docker

continuumio/miniconda3 4.7.12 build

experiments/arima_xreg/Dockerfile docker

continuumio/miniconda3 4.7.12 build

experiments/ces/Dockerfile docker

continuumio/miniconda3 4.7.12 build

dev/requirements.txt pypi

holidays <0.21 development
jupyterlab * development
matplotlib * development
nbdev * development
numba >=0.55.0 development
numpy >=1.21.6 development
pandas >=1.3.5 development
pip * development
plotly * development
plotly-resampler * development
polars * development
prophet * development
scipy >=1.7.3 development
statsmodels >=0.13.2 development
supersmoother * development
tabulate * development
tqdm * development