TempusBench Documentation
A unified benchmarking framework for time series forecasting, comparing traditional and foundation models with automated pipelines and isolated execution.
Guides
- Time Series Forecasting Benchmarking Pipeline (`tempus_bench`)
- Tempus Bench — library documentation
- TODO - Benchmarking Pipeline Improvements
- Chronos-2 Covariate Data Flow
- Covariate Testing Guide
- Foundation Models: Covariate Support Reference
- Config Module Coverage Summary
- Models Served in Chronax
- Model Set Comparison: (Tempus Bench ∪ Chronax) vs StatsForecast
- Models Served in StatsForecast
- Models Served in Tempus Bench
- Model capabilities (`settings.yaml`)
- Forecasting Model Implementations & Explanations
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
- TimesFM
- TimesFM 2.5
- TimesFM
- Welcome
- Toto - Time Series Optimized Transformer for Observability
- BOOM (Benchmark of Observability Metrics) Evaluations
- Time Series Tasks
API Reference
tempus_bench
aggregators
models
chronos_tiny
lagllama
data
augmentations
- read_new_dataset
lag_llama
- lagllama_model
- run
- utils.utils
moirai_base
moirai_moe
moment_large
timesfm_200m
tiny_time_mixer_r1
- base_model
- chronos_2
- neuralforecast_lightning_device
- timesfm_local_checkpoint
- arima_model
- chronos_model
- chronos2_model
- chronos2_small_model
- chronos_2_model
- chronos_base_model
- chronos_bolt_base_model
- chronos_bolt_mini_model
- chronos_bolt_small_model
- chronos_bolt_tiny_model
- chronos_large_model
- chronos_mini_model
- chronos_small_model
- croston_classic_model
- exponential_smoothing_model
- granite_flowstate_model
- itransformer_model
- kairos_10m_model
- kairos_23m_model
- kairos_50m_model
- lstm_model
- moirai_model
- moirai2_model
- moirai_large_model
- moirai_small_model
- moment_model
- moment_base_model
- moment_small_model
- nbeats_model
- nhits_model
- patchtsmixer_model
- patchtst_fm_model
- patchtst_granite_model
- prophet_model
- random_forest_model
- seasonal_naive_model
- sundial_model
- svr_model
- tabpfn_model
- tabpfn_ts_model
- tft_model
- theta_model
- time_moe_200m_model
- time_moe_50m_model
- timesfm_model
- timesfm2_model
- timesfm_500m_model
- timesnet_model
- tiny_time_mixer_model
- tiny_time_mixer_r2_model
- tiny_time_mixer_r2_1_model
- tirex_model
- tirex_1_1_gifteval_model
- varmax_model
- xgboost_model
- aggregators
- run_benchmark
- utils
- compat.lightning_pytree
- test_metric_registry_init