jetbrains/ide-services-docker — explained in plain English
Analysis updated 2026-07-31 · repo last pushed 2026-07-29
Deploy JetBrains IDE Services on company servers instead of individual workstations.
Run the same containerized IDE Services image across development, staging, and production.
Standardize JetBrains tools across a large engineering organization.
Package a specific version of JetBrains IDE Services into a reusable Docker image.
| jetbrains/ide-services-docker | appleaa123/fable_os | jayvig79/plex-preroll-automation | |
|---|---|---|---|
| Stars | 4 | 4 | 4 |
| Language | Shell | Shell | Shell |
| Last pushed | 2026-07-29 | — | — |
| Maintenance | Active | — | — |
| Setup difficulty | moderate | moderate | moderate |
| Complexity | 3/5 | 3/5 | 2/5 |
| Audience | ops devops | developer | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Requires downloading the JetBrains tbe-launcher file and checking JetBrains' documentation for the current version number before building.
This repository provides official Docker images for JetBrains IDE Services, a set of tools from the company behind popular development environments like IntelliJ IDEA and PyCharm. The project lets teams package and run JetBrains' IDE-related server software inside Docker containers, which is a standardized way to deploy applications consistently across different machines and environments. The README is brief and focused on the build process. To create an image, you download a specific version of JetBrains' launcher file (called "tbe-launcher"), verify its integrity with a checksum to make sure the download wasn't corrupted or tampered with, and then run a standard Docker build command to produce the final container image. The version number is referenced from JetBrains' own documentation, so you'd check there to find the current release. The intended audience is IT teams or developers who need to run JetBrains IDE Services in a containerized infrastructure. For example, a company standardizing on JetBrains tools across a large engineering organization might use these images to deploy the services on their own servers rather than relying on individual workstation installs. The Docker approach means the same image can run on a developer's laptop, a staging server, or a production environment without changes. What's notable is how minimal the repository is. It's essentially a Dockerfile and supporting scripts with no feature documentation, configuration guidance, or usage examples beyond the build steps. This suggests it's aimed at people who already know what JetBrains IDE Services does and just need the container packaging. If you're exploring whether IDE Services fits your needs, you'd want to start with JetBrains' own documentation linked in the README rather than this repo itself.
Official Docker images for packaging and running JetBrains IDE Services server software in containers, enabling consistent deployment across different machines and environments.
Mainly Shell. The stack also includes Shell, Docker.
Active — commit in last 30 days (last push 2026-07-29).
The license for this repository is not specified in the available documentation.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly ops devops.
This repo across BitVibe Labs
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