What is B2D Sector?

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

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  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
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  • examples

    TensorFlow examples (by tensorflow)

  • Example tools:\ Tensorflow, Tableau, Apache Spark, Matlab, Jupyter

  • postman-app-support

    Postman is an API platform for building and using APIs. Postman simplifies each step of the API lifecycle and streamlines collaboration so you can create better APIs—faster.

  • Making development environments (VSCode, JetBrains, Android Studio), or additive tools (Postman, GitHub) that make writing, testing and sharing the code easy

  • 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.

    InfluxDB logo
  • Jenkins

    Jenkins automation server

  • For the majority of their work, they need tools for Version Control (GitHub, GitLab), Container Management(Kubernetes, Docker), APM (Elastic, AppDynamics), Deployments and Server Monitoring(Datadog), CI/CD & Test Automation (Jenkins, TravisCI, CircleCI, GitHub Actions), etc..

  • elasticsearch-mapper-attachments

    Discontinued Mapper Attachments Type plugin for Elasticsearch

  • For the majority of their work, they need tools for Version Control (GitHub, GitLab), Container Management(Kubernetes, Docker), APM (Elastic, AppDynamics), Deployments and Server Monitoring(Datadog), CI/CD & Test Automation (Jenkins, TravisCI, CircleCI, GitHub Actions), etc..

  • Travis CI.com

    Free continuous integration platform for GitHub projects.

  • For the majority of their work, they need tools for Version Control (GitHub, GitLab), Container Management(Kubernetes, Docker), APM (Elastic, AppDynamics), Deployments and Server Monitoring(Datadog), CI/CD & Test Automation (Jenkins, TravisCI, CircleCI, GitHub Actions), etc..

  • Apache Spark

    Apache Spark - A unified analytics engine for large-scale data processing

  • Example tools:\ Tensorflow, Tableau, Apache Spark, Matlab, Jupyter

  • react-native

    A framework for building native applications using React

  • Providing libraries (React, React Native) or frameworks (Angular, Flask) that handle the heavy lifting and uncertainty of the actual programming language

  • 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.

    WorkOS logo
  • React

    The library for web and native user interfaces.

  • Providing libraries (ReactReact Native) or frameworks (Angular, Flask) that handle the heavy lifting and uncertainty of the actual programming language

  • kubernetes

    Production-Grade Container Scheduling and Management

  • For the majority of their work, they need tools for Version Control (GitHub, GitLab), Container Management(Kubernetes, Docker), APM (Elastic, AppDynamics), Deployments and Server Monitoring(Datadog), CI/CD & Test Automation (Jenkins, TravisCI, CircleCI, GitHub Actions), etc..

  • Puts Debuggerer

    Ruby library for improved puts debugging, automatically displaying bonus useful information such as source line number and source code.

  • Making development environments (VSCode, JetBrains, Android Studio), or additive tools (Postman, GitHub) that make writing, testing and sharing the code easy

  • Visual Studio Code

    Visual Studio Code

  • Making development environments (VSCode, JetBrains, Android Studio), or additive tools (Postman, GitHub) that make writing, testing and sharing the code easy

  • Angular

    Deliver web apps with confidence 🚀

  • Providing libraries (React, React Native) or frameworks (Angular, Flask) that handle the heavy lifting and uncertainty of the actual programming language

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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