kafka-crypto-questdb
questdb-slack-grafana-alerts
kafka-crypto-questdb | questdb-slack-grafana-alerts | |
---|---|---|
1 | 1 | |
58 | 9 | |
- | - | |
1.7 | 0.0 | |
about 1 year ago | almost 1 year ago | |
Python | Python | |
Apache License 2.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
kafka-crypto-questdb
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Realtime Crypto Tracker with Kafka and QuestDB
If you would like to analyze different cryptocurrencies or extend the simple moving average example with a more complicated algorithm like relative strength index analysis, feel free to fork the repo on Github
questdb-slack-grafana-alerts
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Alerting Dashboard for Tesla's Stock Price with QuestDB and Grafana
Docker desktop - we have created a GitHub repository that will enable you to run Grafana and QuestDB in a Docker container. The project README also documents setup steps for Grafana, QuestDB, and Python.
What are some alternatives?
neural_prophet - NeuralProphet: A simple forecasting package
kafka-crypto - Using Kafka to track cryptocurrency price trends [Moved to: https://github.com/Yitaek/kafka-crypto-questdb]
arctic - High performance datastore for time series and tick data
prom2teams - prom2teams is an HTTP server built with Python that receives alert notifications from a previously configured Prometheus Alertmanager instance and forwards it to Microsoft Teams using defined connectors
dupi-lambda - DUPI Streaming AWS Flow Log Monitor
tslearn - The machine learning toolkit for time series analysis in Python
oncall - Developer-friendly incident response with brilliant Slack integration
QuestDB - An open source time-series database for fast ingest and SQL queries
finta - Common financial technical indicators implemented in Pandas.
qlib - Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.