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Top 23 Python Timeseries 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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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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DeepADoTS
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
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hierarchicalforecast
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
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DoppelGANger
[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
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Stocks-Pattern-Analyzer
This tool should help discover different patterns based on similarity measures in historical (financial) data
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NitroFE
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.
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Lime-For-Time
Application of the LIME algorithm by Marco Tulio Ribeiro, Sameer Singh, Carlos Guestrin to the domain of time series classification
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Contra
Contra is a lightweight, production ready Tensorflow alternative for solving time series prediction challenges with AI (by styvio)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: What’s the Difference Between Fine-tuning, Retraining, and RAG? | dev.to | 2024-04-08Check us out on GitHub.
Project mention: Facebook Prophet: library for generating forecasts from any time series data | news.ycombinator.com | 2023-09-26
There were some developments using LLMs in the timeseries domain which caught my attention.
I toyed with the Chronos forecasting toolkit [1], and the results were predictably off by wild margins [2]
What really caught my eye though was the "feel" of the predicted timeseries -- this is the first time I've seen synthetic timeseries that look like the real thing. Stock charts have a certain quality to them, once you've been looking at them long enough, you can tell more often than not whether some unlabeled data is a stock price timeseries or not. It seems the chronos LLM was able to pick up on that "nature" of the price movement, and replicate it in its forecasts. Impressive!
1: https://github.com/amazon-science/chronos-forecasting
2: https://imgur.com/a/hTRQ38d
Project mention: Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting | news.ycombinator.com | 2024-02-26
Project mention: DeepDow: Portfolio optimization with deep learning. Portfolio Selection and Optimisation - star count:758.0 | /r/algoprojects | 2023-11-10
Project mention: [D] When less is more in the hierarchical forecasting case. | /r/MachineLearning | 2023-07-03
Python Timeseries related posts
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
- arctic: NEW Data - star count:2988.0
- arctic: NEW Data - star count:2988.0
- arctic: NEW Data - star count:2988.0
- So, You Recommended a Python Time-Series Package … Now What?
- arctic: NEW Data - star count:2864.0
- arctic: NEW Data - star count:2864.0
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A note from our sponsor - WorkOS
workos.com | 23 Apr 2024
Index
What are some of the best open-source Timeseries projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | MindsDB | 21,223 |
2 | gluonts | 4,277 |
3 | neural_prophet | 3,630 |
4 | pytorch-forecasting | 3,590 |
5 | arctic | 3,028 |
6 | tslearn | 2,777 |
7 | chronos-forecasting | 1,589 |
8 | lag-llama | 942 |
9 | deepdow | 833 |
10 | pystore | 539 |
11 | DeepADoTS | 538 |
12 | hierarchicalforecast | 512 |
13 | timemachines | 380 |
14 | plotille | 282 |
15 | DoppelGANger | 275 |
16 | Stocks-Pattern-Analyzer | 214 |
17 | stingray | 163 |
18 | NitroFE | 106 |
19 | Lime-For-Time | 92 |
20 | kafka-crypto-questdb | 58 |
21 | bytehub | 57 |
22 | DearBagPlayer | 53 |
23 | Contra | 14 |
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