Leaderboards

fasterfastestoverallresidual-k_001residual-k_002residual-k_003residual-k_005residual-k_008residual-k_013residual-k_021residual-k_034special-k_001special-k_002special-k_003special-k_005special-k_008special-k_013special-k_021special-k_034univariate-k_001univariate-k_002univariate-k_003univariate-k_005univariate-k_008univariate-k_013univariate-k_021univariate-k_034

Accuracy and Speed of Some Short Term Automated Time-Series Forecasting Approaches (Python Packages only)

The Elo Ratings in this table are produced transparently in the repo timeseries-elo-ratings and based on k-step ahead prediction duels using live time series data. See METHODOLOGY.md for interpretation of Elo ratings. The table named univariate-k_002 refers to 2-step ahead prediction, and so forth. Residual leaderboards use so-called z-streams (as explained in An Introduction to Z-Streams).

There is some motivation in the blog post Fast Python Time-Series Forecasting. All algorithms utilized here can be called the same way using the TimeMachines Python package. However, as indicated in the table, some of these draw an important part of their functionality (if not all) from other packages such as Facebook Prophet, Statsmodels TSA, Flux, PmdArima, Uber Orbit and more. Take relative performance with with a grain of salt, since many packages don't intend completely autonomous use and some are aimed at longer term seasonal forecasts. If you have a suggestion for a package or technique that should be included, please file an issue or, even better, add a skater and make a pull request. There is a guide for contributors and a long list of popular time-series packages.

Some of these methods are used in real-time to provide free prediction to anyone who publishes public data using a community API explained at microprediction.com. See the example crawlers folder for examples of algorithms calling the timemachines package. See the knowledge center or contributor guide for instructions on publishing live data that can influence these ratings.

NameRatingGamesActiveSecondsDependencies
bats_trendy_arma_bc2262.018yes3339.2tbats , timemachines
quick_aggressive_ema_ensemble2154.01039yes0.4timemachines
slow_precision_ema_ensemble2099.0645yes0.2timemachines
elo_faster_univariate_balanced_ensemble2001.0531yes16.6timemachines
tsa_aggressive_combined_ensemble1981.015yes230.9statsmodels , timemachines
tsa_p2_d0_q01952.0400yes61.8statsmodels , timemachines
elo_fastest_univariate_balanced_ensemble1944.0733yes1.6timemachines
divine_univariate_hypocratic_fast1925.0143yes-0.1divinity , timemachines
elo_faster_univariate_aggressive_ensemble1910.0637yes42.4timemachines
thinking_slow_and_fast1908.0761yes0.1timemachines
tsa_p1_d0_q11890.0328yes31.3statsmodels , timemachines
bats_trendy_bc1890.023yes314.5tbats , timemachines
tsa_p3_d0_q11889.0137yes119.5statsmodels , timemachines
elo_fastest_residual_balanced_ensemble1888.0758yes0.8timemachines
elo_faster_univariate_precision_ensemble1873.0474yes24.6timemachines
balanced_ema_ensemble1870.0676yes0.2timemachines
sk_autoarima1864.049yes118.4sktime , timemachines
tsa_quickly_hypocratic_d0_ensemble1857.031yes2888.1statsmodels , timemachines
divine_univariate1856.0201yes72.2divinity , timemachines
elo_fastest_univariate_aggressive_ensemble1856.0545yes1.6timemachines
tsa_p3_d0_q01856.0215yes109.3statsmodels , timemachines
bats_damped_arma1853.013yes516.4tbats , timemachines
elo_fastest_residual_precision_ensemble1851.0918yes0.9timemachines
sk_ae_add_damped1827.0551yes8.2sktime , timemachines
fbprophet_cautious1821.0145yes125.1prophet , timemachines
tsa_balanced_d0_ensemble1815.011yes2851.5statsmodels , timemachines
bats_damped_bc1814.010yes323.6tbats , timemachines
tsa_p1_d0_q01814.0473yes18.2statsmodels , timemachines
smdk_p5_d0_q3_n5001811.0432no18.2simdkalman , timemachines
bats_damped1810.019yes334.2tbats , timemachines
dlm_univariate_a1801.069no-1.0pydlm , timemachines
bats_trendy_arma1800.08yes875.5tbats , timemachines
rvr_quickly_hypocratic1794.0511yes0.4river , timemachines
thinking_fast_and_slow1786.0788yes0.1timemachines
darts_autoarima1779.013no120.4darts , timemachines
rvr_slowly_hypocratic1776.0340no0.2river , timemachines
bats_damped_arma_bc1763.010yes341.0tbats , timemachines
precision_ema_ensemble1754.0773yes0.2timemachines
divine_univariate_hypocratic_slow1751.0119yes-0.1divinity , timemachines
orbit_lgt_241746.06yes61.9orbit-ml , timemachines
quick_precision_ema_ensemble1733.0629yes0.4timemachines
pmd_exogenous_hypocratic1730.0609yes7.6pmdarima , timemachines
thinking_slow_and_slow1723.0785yes0.0timemachines
sk_ae_add1720.0694yes6.9sktime , timemachines
elo_fastest_residual_aggressive_ensemble1715.0828yes0.9timemachines
nprophet_p31714.0191yes61.7neuralprophet , timemachines
darts_prophet1712.015no78.3darts , timemachines
tsa_balanced_combined_ensemble1711.016yes279.8statsmodels , timemachines
suc_tsa_aggressive_d0_ensemble1705.03no2.1successor , timemachines
bats_arma_bc1701.09yes1003.8tbats , timemachines
thinking_fast_and_fast1698.0640yes0.1timemachines
elo_faster_residual_balanced_ensemble1696.0883yes36.1timemachines
smdk_p5_d0_q3_n1000_aggressive1696.0135yes61.7simdkalman , timemachines
slow_aggressive_ema_ensemble1695.0893yes0.1timemachines
sk_ae1691.0529yes6.6sktime , timemachines
elo_fastest_univariate_precision_ensemble1678.0562yes3.1timemachines
bats_trendy1677.027yes913.4tbats , timemachines
bats_fast1666.037yes295.6tbats , timemachines
rvr_balanced_ensemble1660.0429yes0.4river , timemachines
slow_balanced_ema_ensemble1642.0787yes0.2timemachines
elo_faster_residual_precision_ensemble1639.0359yes2.1timemachines
tsa_slowly_hypocratic_d0_ensemble1634.053yes376.9statsmodels , timemachines
tsa_balanced_theta_ensemble1633.0751yes12.8statsmodels , timemachines
smdk_p5_d0_q3_n500_aggressive1628.0240no19.1simdkalman , timemachines
smdk_p5_d0_q3_n10001623.0183yes62.2simdkalman , timemachines
aggressive_ema_ensemble1616.0761yes0.1timemachines
merlion_arima16000yes13.9timemachines
pycrt_mean_816000yes-1.0pycaret , timemachines
orbit_lgt_1216000yes-0.4orbit-ml , timemachines
regress_change_on_first_known16000no-1.0timemachines
tsa_p1_d1_q016000no-1.0statsmodels , timemachines
tsa_p2_d1_q016000no-1.0statsmodels , timemachines
tsa_p3_d1_q016000no-1.0statsmodels , timemachines
sk_ae_mul_damped16000no-0.1sktime , timemachines
sk_ae_mul16000no-0.2sktime , timemachines
rvr_p3_d0_q016000no-1.0river , timemachines
rvr_aggressive_ensemble16000no-1.0river , timemachines
pycrt_median_3_full16000no-1.0pycaret , timemachines
fbprophet_chaser16000no-1.0prophet , timemachines
darts_nbeats16000no-1.0darts , timemachines
thinking_precision_ensemble1589.048yes1.0timemachines
quickly_moving_average1588.01127yes0.0timemachines
tsa_precision_combined_ensemble1585.09yes3194.7statsmodels , timemachines
fbprophet_univariate_hypocratic1552.0101yes76.9prophet , timemachines
darts_four_theta1551.063no1.2darts , timemachines
fbprophet_univariate1542.0173yes97.8prophet , timemachines
fbprophet_cautious_hypocratic1541.084yes214.3prophet , timemachines
quick_balanced_ema_ensemble1538.0685yes0.2timemachines
fbprophet_exogenous_hypocratic1534.091yes78.6prophet , timemachines
tsa_aggressive_theta_ensemble1520.0636yes2.2statsmodels , timemachines
pycrt_mean_31510.01no3202.9pycaret , timemachines
darts_theta1508.040no1.2darts , timemachines
darts_arima1506.040yes8.5darts , timemachines
sluggish_moving_average1504.01081yes0.0timemachines
gk_basic_skater1499.03yes1467.2greykite , timemachines
pycrt_median_81497.01no3340.9pycaret , timemachines
bats_arma1490.015yes917.9tbats , timemachines
tsa_aggressive_d0_ensemble1482.024yes301.8statsmodels , timemachines
fbprophet_recursive1474.0162yes75.1prophet , timemachines
sk_theta1471.0661yes0.8sktime , timemachines
slowly_moving_average1469.0918yes0.0timemachines
tsa_precision_d0_ensemble1449.027yes860.9statsmodels , timemachines
pycrt_median_31447.01yes1409.8pycaret , timemachines
tsa_precision_theta_ensemble1437.0637yes2.6statsmodels , timemachines
elo_faster_residual_aggressive_ensemble1425.0457yes8.7timemachines
nprophet_p3_hypocratic1388.0263yes30.0neuralprophet , timemachines
merlion_mses1386.04yes44.9timemachines
rvr_p2_d0_q01376.0816yes0.0river , timemachines
rvr_p1_d0_q01357.0385yes0.0river , timemachines
fbprophet_known1354.0162yes77.1prophet , timemachines
nprophet_p2_hypocratic1349.0211yes31.0neuralprophet , timemachines
tsa_p2_d0_q11340.0251yes228.8statsmodels , timemachines
dlm_univariate_b1319.049no-1.0pydlm , timemachines
suc_quick_aggressive_ema_ensemble1314.029no5.1successor , timemachines
darts_fft1295.045no1.2darts , timemachines
rvr_p5_d0_q01293.0526yes0.1river , timemachines
nprophet_p21287.0262yes40.3neuralprophet , timemachines
bats_bc1272.026yes311.9tbats , timemachines
nprophet_p11261.0426yes38.3neuralprophet , timemachines
rapidly_moving_average1255.0791yes0.0timemachines
merlion_prophet1228.06yes93.7timemachines
pmd_univariate1211.0545yes4.1pmdarima , timemachines
nprophet_p1_hypocratic1206.0242yes47.3neuralprophet , timemachines
rvr_p8_d0_q01202.0350yes0.1river , timemachines
fbprophet_exogenous1197.0167yes161.4prophet , timemachines
nprophet_p51175.0256yes63.3neuralprophet , timemachines
fbprophet_exogenous_exogenous1174.086yes226.1prophet , timemachines
darts_exp_smoothing1118.064yes13.2darts , timemachines
nprophet_p81113.0227yes35.9neuralprophet , timemachines
fbprophet_univariate_univariate_hypocratic1097.089yes785.6prophet , timemachines
nprophet_p8_hypocratic1017.0236yes70.7neuralprophet , timemachines
empirical_last_value972.0631yes0.0timemachines
suc_tsa_p2_d0_q1961.022no6.0successor , timemachines
nprophet_p5_hypocratic927.0212yes0.0neuralprophet , timemachines