The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Top 4 Python timeseries-forecasting Projects
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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CueObserve
Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases
Project mention: Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting | news.ycombinator.com | 2024-02-26
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python timeseries-forecasting related posts
- Pytorch Lstm
- So, You Recommended a Python Time-Series Package … Now What?
- [D] What is the best approach to create embeddings for time series with additional historical events to use with Transformers model?
- Can someone help me with this? It's been days that i struggle with this problem, Forecasting w DeepAR
- Can someone help me with this? it's been days that i struggle with this problem
- When to go for an 'easy' time-series model vs. using a complex deep learning model (when having experience with the latter)
- Simple pure function representations of popular time series packages.
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A note from our sponsor - WorkOS
workos.com | 24 Apr 2024
Index
What are some of the best open-source timeseries-forecasting projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | pytorch-forecasting | 3,590 |
| 2 | lag-llama | 942 |
| 3 | timemachines | 380 |
| 4 | CueObserve | 205 |
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