crosbymichael/chronograf-docker — explained in plain English
Analysis updated 2026-08-11 · repo last pushed 2016-04-04
Deploy Chronograf on your own server behind a firewall to visualize server performance metrics.
Build dashboards for IoT sensor data stored in InfluxDB without writing custom visualization code.
Run Chronograf in a standardized Docker container so it installs consistently across different machines.
| crosbymichael/chronograf-docker | 0xdevalias/docker-upx | 123satyajeet123/bitnet-server | |
|---|---|---|---|
| Stars | — | — | 0 |
| Language | Shell | Shell | Shell |
| Last pushed | 2016-04-04 | 2017-11-28 | — |
| Maintenance | Dormant | Dormant | — |
| Setup difficulty | moderate | easy | easy |
| Complexity | 2/5 | 2/5 | 2/5 |
| Audience | ops devops | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires Docker and an existing InfluxDB instance with time-series data already being collected.
Chronograf is a tool that lets you create graphs and dashboards from your InfluxDB data. Instead of staring at raw numbers, you get a visual interface where you can explore metrics, build pre-configured dashboards, and use templates to make sense of common data sets. This repo specifically packages Chronograf into a Docker container, which is a standardized way to run the app so it installs easily and consistently on your own servers behind a firewall. Docker is essentially a shipping container for software, it bundles an application and all its dependencies together so it runs the same way on any machine. This project handles that packaging for Chronograf. To run it, you use a single command that starts the container, opens port 10000 for the web interface, and links a folder on your computer to the container so your data persists even if the app restarts. This is aimed at developers or system administrators who are already collecting time-series data in InfluxDB and want a straightforward way to visualize it. For example, if you're tracking server performance metrics or IoT sensor readings, you would deploy this container on your infrastructure, open port 10000 in your browser, and start building dashboards to explore that data without needing to code visualizations from scratch. The project offers flexibility in how you run it. You can use a custom configuration file if the default settings don't fit your needs, change which port it listens on, or point it to a different database file. Configuration can be handled through flags in the start command or through environment variables. The README notes it's officially supported on Docker version 1.10.1, and points to external documentation for guidance on actually creating visualizations once the tool is running.
A Docker container packaging for Chronograf, a visual dashboard tool for InfluxDB time-series data. Run it on your own servers to explore metrics and build dashboards without coding visualizations from scratch.
Mainly Shell. The stack also includes Shell, Docker, Chronograf.
Dormant — no commits in 2+ years (last push 2016-04-04).
No license information is provided in this repository's explanation.
Setup difficulty is rated moderate, with roughly 5min to a first successful run.
Mainly ops devops.
This repo across BitVibe Labs
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