A curated list of awesome projects, libraries, tools, and resources related to InfluxDB.
Awesome InfluxDB is a curated list of resources, tools, libraries, and projects related to InfluxDB, the open-source time-series database. It serves as a centralized directory for developers and engineers to discover everything from client libraries and data collectors to visualization dashboards and provisioning tools for building time-series data solutions.
Developers, system administrators, DevOps engineers, and data engineers working with InfluxDB who need to find libraries, monitoring tools, or integration options for their time-series data pipelines.
It saves time by aggregating high-quality, community-vetted resources in one place, eliminating the need to search scattered documentation or forums for InfluxDB-compatible tools and libraries.
A curated list of awesome projects, libraries, tools, etc. related to InfluxDB
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
Lists official and unofficial client libraries for over a dozen languages, including C#, Go, Java, PHP, Python, Ruby, and niche ones like Clojure and Rust, making it easy to find bindings for diverse tech stacks.
Aggregates dedicated data collectors like Telegraf and plugins for Jenkins, Nagios, and Logstash, providing a one-stop shop for integrating InfluxDB into monitoring pipelines.
Includes tools like Chronograf and Grafana for visualization, along with lesser-known options like facette, offering multiple paths for consuming time-series data.
Follows the 'awesome list' philosophy with community contributions, ensuring a high-quality, vetted collection that simplifies discovery beyond official documentation.
As a community-maintained list focused on InfluxDB 1.0 and up, it may lag behind updates for InfluxDB 2.0+ or new tools, requiring users to verify currency independently.
Includes unofficial projects with varying levels of maintenance and support, posing risks for production use without additional vetting for stability or security.
Merely provides links without context, tutorials, or comparisons, leaving users to navigate implementation complexities and integration challenges on their own.