How to Visualize and Analyze Data in Open Source Communities

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

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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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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  1. openalysis

    OPENALYSIS is a tool for visualizing and analyzing data from the GitHub open source community.

    This article will introduce the development approach and implementation of OPENALYSIS, an open-source community data analysis service. We will first preview the effects of the service after deployment, and then delve into the entire project's development process from basic ideas to concrete implementation.

  2. InfluxDB

    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.

    InfluxDB logo
  3. sonic

    A blazingly fast JSON serializing & deserializing library (by bytedance)

  4. kitex

    Go RPC framework with high-performance and strong-extensibility for building micro-services.

    After successful deployment, the data display panel looks as follows. Here, we present statistics and displays of the open-source community CloudWeGo, a project by ByteDance. The panels include:

  5. monoio

    Rust async runtime based on io-uring.

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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Did you know that Go is
the 4th most popular programming language
based on number of references?