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Top 23 time-series Open-Source Projects
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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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TDengine
TDengine is an open source, high-performance, cloud native time-series database optimized for Internet of Things (IoT), Connected Cars, Industrial IoT and DevOps.
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TimescaleDB
An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
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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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nightingale
An all-in-one observability solution which aims to combine the advantages of Prometheus and Grafana. It manages alert rules and visualizes metrics, logs, traces in a beautiful web UI.
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Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
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tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
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Crate
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
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Data-science
Collection of useful data science topics along with articles, videos, and code (by khuyentran1401)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev | dev.to | 2024-02-05netdata.cloud — Netdata is an open-source tool to collect real-time metrics. It's a growing product and can also be found on GitHub!
Project mention: Fivefold Slower Compared to Go? Optimizing Rust's Protobuf Decoding Performance | news.ycombinator.com | 2024-04-12WriteRequest::timeseries is a vector (https://github.com/prometheus/prometheus/blob/main/prompb/re...) and
Scalable Realtime Datastore: The piece examines a scalable datastore specifically created for metrics events and real-time analytics. (2013-09-26, shares: 26787.0)
Project mention: TimescaleDB: An open-source time-series SQL database | news.ycombinator.com | 2024-02-06
Project mention: How I would automate monitoring DNS queries in basic Prometheus | news.ycombinator.com | 2024-03-27
If your data lacks uniform time intervals between consecutive entries, QuestDB offers a solution by allowing you to sample your data. After that, MindsDB facilitates creating, training, and deploying your time-series models.
Project mention: Nightingale – Open-source alternative to Prometheus&Grafana | /r/bkup | 2023-08-24
Project mention: For deep learning practitioners in industry, is the workflow always this annoying? [D] | /r/MachineLearning | 2023-07-10This is definitely a good thing to try for time-series; you can automate your feature extraction too (eg using https://github.com/blue-yonder/tsfresh ).
Project mention: Darts: Python lib for forecasting and anomaly detection on time series | news.ycombinator.com | 2024-03-05
Project mention: pip install remyxai - easiest way to create custom vision models | /r/computervision | 2023-04-25This seems not very convincing. There are other popular frameworks that provide AutoML with existing datasets (eg https://github.com/autogluon/autogluon)
Project mention: Aeon: A unified framework for machine learning with time series | news.ycombinator.com | 2023-06-22
Project mention: [D] Doubts on the implementation of LSTMs for timeseries prediction (like including weather forecasts) | /r/MachineLearning | 2023-12-10Don't use an LSTM. Get up to date with SoTA methods and read the papers in the field. LSTMs are not the way forward. Read the papers I suggested. It would be very useful to come to grips with both the Time Series Repository (https://github.com/thuml/Time-Series-Library) and Darts (https://github.com/unit8co/darts) as these are widely used for research and in industry.
time-series related posts
- Show HN: Spice.ai – materialize, accelerate, and query SQL data from any source
- Chronos: Learning the Language of Time Series
- Darts: Python lib for forecasting and anomaly detection on time series
- Synthetic data generation for tabular data
- Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
- Temporian: Google's Python package for time series preprocessing
- TimescaleDB: An open-source time-series SQL database
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A note from our sponsor - InfluxDB
www.influxdata.com | 19 Apr 2024
Index
What are some of the best open-source time-series projects? This list will help you:
Project | Stars | |
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1 | Netdata | 68,064 |
2 | prometheus | 52,642 |
3 | InfluxDB | 27,697 |
4 | TDengine | 22,764 |
5 | TimescaleDB | 16,445 |
6 | Telegraf | 13,734 |
7 | QuestDB | 13,420 |
8 | nightingale | 8,725 |
9 | uPlot | 8,436 |
10 | pycaret | 8,385 |
11 | tsfresh | 8,068 |
12 | sktime | 7,387 |
13 | darts | 7,232 |
14 | autogluon | 7,050 |
15 | Graphite | 5,833 |
16 | Informer2020 | 4,890 |
17 | Kats | 4,742 |
18 | tsai | 4,659 |
19 | gluonts | 4,254 |
20 | Time-Series-Library | 4,199 |
21 | PlotJuggler | 4,055 |
22 | Crate | 3,955 |
23 | Data-science | 3,946 |