Time Series Analysis AI tools

AI Time Series Analysis platforms process and analyze temporal data patterns using artificial intelligence. These tools provide capabilities for trend analysis, forecasting, and anomaly detection in time-based data.

14 verified AI-first sites in Time Series Analysis.

Nixtla

Time series foundation model company behind TimeGPT and the open-source Nixtlaverse (StatsForecast, MLForecast, NeuralForecast). TimeGPT-2.1 and Nixtla Enterprise add multivariate and agentic forecasting plus anomaly detection; raised a $16M Series A in February 2026.

Pricing: Open-source libraries free; TimeGPT API free trial with usage-based and enterprise plans.

Tangent

Automated time series forecasting and anomaly detection engine that builds and rebuilds models on the fly without manual tuning. Available via API and as a Databricks runtime for high-throughput enterprise workloads.

Pricing: Custom enterprise pricing; contact Tangent.

GluonTS

Amazon open-source Python library for probabilistic time series forecasting with deep learning. Ships DeepAR, Transformer, and other models with training, backtesting, and evaluation tooling for univariate and multivariate series.

Pricing: Open source: Free.

NeuralProphet

Open-source PyTorch forecasting framework from Stanford that extends Prophet with neural components. Models trend, seasonality, holidays, lagged values, and external regressors with interpretable outputs; development has been quiet since early 2025.

Pricing: Open source: Free.

Anodot

AI business monitoring platform that learns normal behavior across time-series metrics and flags anomalies in revenue, payments, and operations in real time. Acquired by Glassbox in November 2025; still sold as a standalone product.

Pricing: Enterprise pricing with platform plans and integrations; contact sales.

TSFM

Unified API for time series foundation models including Chronos, TimesFM, and Moirai. Zero-shot forecasting, prediction intervals, anomaly detection, and imputation without provisioning GPUs or managing model weights.

Pricing: Free tier; see site for API pricing.

TimeCopilot

Open-source GenAI forecasting agent that combines LLMs with 30+ time-series foundation models (Chronos, Moirai, TimesFM, TimeGPT, and more). Natural-language forecasts, cross-validation, and anomaly detection through one API or CLI.

Pricing: Free and open source; LLM and model API keys as needed.

Granite FlowState

IBM Granite FlowState time series foundation model extending TinyTimeMixer-style efficiency to richer workloads. Compact pretrained checkpoint for zero-shot and few-shot forecasting on Hugging Face.

Pricing: Open weights on Hugging Face; see IBM Granite license.

Chronos

Amazon time series foundation model for zero-shot forecasting. Chronos-2 handles univariate, multivariate, and covariate-informed tasks with strong benchmark results and SageMaker deployment options.

Pricing: Open weights on Hugging Face; AWS SageMaker and AutoGluon Cloud deployment.

TimesFM

Google Research time series foundation model, available natively in BigQuery ML for zero-shot AI.FORECAST and anomaly detection in SQL. TimesFM-3 (August 2026) adds native multivariate forecasting and covariates, with open weights on Hugging Face.

Pricing: Included with BigQuery usage; open weights also on Hugging Face.

Moirai

Salesforce universal time series foundation model for zero-shot forecasting across domains, frequencies, and variable counts. Moirai 2.0 improves accuracy and speed on GIFT-Eval versus earlier releases.

Pricing: Open weights on Hugging Face; Uni2TS tooling for inference.

Toto

Datadog time series foundation model family for multivariate forecasting, tuned on observability metrics. Toto 2.0 scales from 4M to 2.5B parameters with strong GIFT-Eval and BOOM results.

Pricing: Open Apache 2.0 weights on Hugging Face.

NXAI

European lab behind TiRex time-series models built on xLSTM memory architectures, including TiRex-2. Targets industrial forecasting and edge or embedded deployment beyond transformer baselines.

Pricing: Research and partnership programs; contact NXAI.

MOMENT

Open time series foundation model family from CMU AutonLab for forecasting, classification, anomaly detection, and imputation. Pretrained on the Time Series Pile with weights on Hugging Face.

Pricing: Open weights on Hugging Face; Apache-licensed research code.