Building Async Backends with Django and Celery

This page summarizes the projects mentioned and recommended in the original post on dev.to

Stream - Scalable APIs for Chat, Feeds, Moderation, & Video.
Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
getstream.io
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InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com
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  1. channels_redis

    Redis channel layer backend for Django Channels

    Channels Redis Layer

  2. Stream

    Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.

    Stream logo
  3. flower

    Real-time monitor and web admin for Celery distributed task queue

    Flower Monitoring

  4. django-channels

    Developer-friendly asynchrony for Django

    Django Channels Documentation

  5. generative-ai-docs

    Documentation for Google's Gen AI site - including the Gemini API and Gemma

    Google Gemini API

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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the 2nd most popular programming language
based on number of references?