questdb-slack-grafana-alerts VS kafka-crypto

Compare questdb-slack-grafana-alerts vs kafka-crypto and see what are their differences.

questdb-slack-grafana-alerts

Example code for a tutorial for sending Slack alerts based on market data streamed to QuestDB (by bsmth)

kafka-crypto

Using Kafka to track cryptocurrency price trends [Moved to: https://github.com/Yitaek/kafka-crypto-questdb] (by Yitaek)
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questdb-slack-grafana-alerts kafka-crypto
1 1
9 1
- -
0.0 0.0
about 1 year ago about 3 years ago
Python Python
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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questdb-slack-grafana-alerts

Posts with mentions or reviews of questdb-slack-grafana-alerts. We have used some of these posts to build our list of alternatives and similar projects.

kafka-crypto

Posts with mentions or reviews of kafka-crypto. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-18.
  • Realtime Crypto Tracker with Kafka and QuestDB
    3 projects | dev.to | 18 Feb 2021
    The Kafka Connect image is based on confluentinc/cp-kafka-connect-base:6.1.0 . If you wish to modify this image (e.g. add a new connector to MongoDB or modify the bootup process), you can override the Dockerfile and build it locally.

What are some alternatives?

When comparing questdb-slack-grafana-alerts and kafka-crypto you can also consider the following projects:

kafka-crypto-questdb - Using Kafka to track cryptocurrency price trends

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

oncall - Developer-friendly incident response with brilliant Slack integration

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.