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. Learn more →
Top 7 timeseries-forecasting Open-Source Projects
-
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.
-
CueObserve
Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases
-
time-series-streaming-analytics-template
Template to quickstart streaming analytics using Apache Kafka for ingestion, QuestDB for time-series storage and analytics, Grafana for near real-time dashboards, and Jupyter Notebook for data science
-
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.
I really like the simplicity of this framework, and they hit on a lot of common problems found in other agent-based frameworks. Most intrigued by the RAG improvements.
Seems like Microsoft was frustrated with the pace of movement in this space and the shitty results of agents (which admittedly kept my interest turned away from agents for the last few months). I'm interested again because it makes practical sense, and from looking at the example notebooks, seems fairly easy to integrate into existing applications.
Maybe this is the 'low code' approach that might actually work, and bridge together engineering and non-engineering resources.
This example was what caught my eye: https://github.com/microsoft/FLAML/blob/main/notebook/autoge...
Project mention: Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting | news.ycombinator.com | 2024-02-26
Project mention: Show HN: Open-source template for end-to-end streaming analytics | news.ycombinator.com | 2024-02-08
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.
-
A note from our sponsor - InfluxDB
www.influxdata.com | 28 Apr 2024
Index
What are some of the best open-source timeseries-forecasting projects? This list will help you:
Project | Stars | |
---|---|---|
1 | FLAML | 3,679 |
2 | pytorch-forecasting | 3,611 |
3 | lag-llama | 942 |
4 | modeltime | 499 |
5 | timemachines | 380 |
6 | CueObserve | 205 |
7 | time-series-streaming-analytics-template | 44 |
Sponsored