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Copy file name to clipboardexpand all lines: README.md
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@@ -14,6 +14,7 @@ The following list is by no means exhaustive, feel free to edit the list (will p
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|[bta-lib](https://github.com/mementum/bta-lib)| Technical Analysis library in pandas for backtesting algotrading and quantitative analysis |
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|[cesium](https://github.com/cesium-ml/cesium)| Time series platform with feature extraction aiming for non uniformly sampled signals |
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|[Darts](https://github.com/unit8co/darts)| A library making it very easy to produce forecasts using a wide range of models, from ARIMA to deep learning. Also does ensembling, model selection and more. |
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|[ETNA](https://github.com/tinkoff-ai/etna-ts)| A python library for time series forecasting and analysis with temporal data structure always in mind. Includes a variety of predictive models with unified interface along with EDA and validation methods|
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|[GENDIS](https://github.com/IBCNServices/GENDIS)| Shapelet discovery by genetic algorithms |
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|[glm-sklearn](https://github.com/jcrudy/glm-sklearn)| scikit-learn compatible wrapper around the GLM module in [statsmodels](https://github.com/statsmodels/statsmodels)|
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|[Featuretools](https://github.com/Featuretools/featuretools)| Time series feature extraction, with possible conditionality on other variables with a pandas compatible relational-database-like data container |
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